Patent Publication Number: US-2023157624-A1

Title: Information processor and information processing program

Description:
TECHNICAL FIELD 
     The present disclosure relates to an information processor and an information processing program. 
     BACKGROUND ART 
     In recent years, various measurement techniques for determining biological information have been studied. For example, an electrodermal response (GSR: Galvanic Skin Response) has been heretofore utilized as one of the biological information. An electric activity of the skin of a user, which is also available as the biological information as in the GSR, is also collectively referred to as an electrodermal activity (EDA: Electro-Dermal Activity). In addition, a skin potential activity (SPA: Skin Potential Activity) is also included in the EDA. The EDA has been widely used, for example, as a method for detecting an activity of an autonomic nervous system of a user. 
     As a measure to reduce a body motion noise superimposed on a measurement signal obtained by an EDA sensor, for example, an inventions described in PTL 1 has been known. 
     CITATION LIST 
     Patent Literature 
     PTL 1: Japanese Unexamined Patent Application Publication No. 2020-10803 
     SUMMARY OF THE INVENTION 
     Incidentally, PTL 1 describes utilization of a pressure sensor to reduce a body motion noise. However, due to a structural constraint on the pressure sensor, a reduction effect of the body motion noise is limitative. It is therefore desirable to provide an information processor and an information processing program that make it possible to reduce a body motion noise more effectively. 
     An information processor according to a first aspect of the present disclosure includes an acquisition section and a generation section. The acquisition section acquires external sweat amount data, on an amount of sweat oozing out of an epidermis, generated on a basis of an output of a first sensor section, and internal sweat amount data, on an amount of sweat inside the epidermis and a dermis, generated on a basis of an output of a second sensor section. The generation section generates sweat amount data on a basis of the external sweat amount data and the internal sweat amount data. 
     In the information processor according to the first aspect of the present disclosure, sweat amount data is generated on the basis of external sweat amount data and internal sweat amount data generated on the basis of outputs of the first sensor section and the second sensor section. This makes it possible, for example, to use the internal sweat amount data as reference data of the external sweat amount data and to use the external sweat amount data as reference data of the internal sweat amount data. As a result, it is possible to detect and reduce a body motion noise from the external sweat amount data or the internal sweat amount data without using an output of the pressure sensor as the reference data. 
     An information processing program according to a second aspect of the present disclosure causes a computer to: 
     (1) acquire external sweat amount data on an amount of sweat oozing out of an epidermis and internal sweat amount data on an amount of sweat inside the epidermis and a dermis, the external sweat amount data being generated on a basis of an output of a first sensor section, the internal sweat amount data being generated on a basis of an output of a second sensor; and
 
(2) generate sweat amount data on a basis of the external sweat amount data and the internal sweat amount data.
 
     In the information processing program according to the second aspect of the present disclosure, sweat amount data is generated on the basis of external sweat amount data and internal sweat amount data generated on the basis of outputs of the first sensor section and the second sensor section. This makes it possible, for example, to use the internal sweat amount data as reference data of the external sweat amount data and to use the external sweat amount data as reference data of the internal sweat amount data. As a result, it is possible to detect and reduce a body motion noise from the external sweat amount data or the internal sweat amount data without using an output of the pressure sensor as the reference data. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG.  1    is a diagram illustrating an example of a schematic configuration of a biological information processor according to an embodiment of the present disclosure. 
         FIG.  2    is a diagram illustrating an example of a cross-sectional configuration of a vicinity of a biological surface with which a sensor unit in  FIG.  1    is brought into contact. 
         FIG.  3    is a diagram illustrating a configuration example of a portion of the sensor unit in  FIG.  1   . 
         FIG.  4    is a diagram illustrating a configuration example of a portion of the sensor unit in  FIG.  1   . 
         FIG.  5    is a diagram illustrating a configuration example of a portion of the sensor unit in  FIG.  1   . 
         FIG.  6    is a diagram illustrating an example of functional blocks of a basic measurement section in  FIG.  1   . 
         FIG.  7    is a diagram illustrating an example of a determination table to be used in a reliability determination section in  FIG.  1   . 
         FIG.  8    is a diagram illustrating an example of a processing procedure in the reliability determination section in  FIG.  1   . 
         FIG.  9    illustrates a modification example of the processing procedure in the reliability determination section in  FIG.  1   . 
         FIG.  10    is an explanatory diagram of temporal changes in an internal sweat amount and an external sweat amount. 
         FIG.  11    illustrates a modification example of a processing procedure in a sweat intensity estimation section in  FIG.  1   . 
         FIG.  12    illustrates a modification example of a schematic configuration of the biological information processor in  FIG.  1   . 
         FIG.  13    is a diagram illustrating a state in which the biological information processor in each of  FIGS.  1  and  12    is built in a wearable apparatus. 
         FIG.  14    is a diagram illustrating a state in which the biological information processor in each of  FIGS.  1  and  12    is built in the wearable apparatus. 
         FIG.  15    is a diagram illustrating a state in which the wearable apparatus in  FIGS.  13  and  14    is coupled to a terminal apparatus via a network. 
         FIG.  16    is a diagram illustrating an example in which some of functions of the biological information processor in  FIG.  1    are provided in a server apparatus. 
         FIG.  17    is a diagram illustrating an example in which some of functions of the biological information processor in  FIG.  12    are provided in the server apparatus. 
         FIG.  18    is a diagram illustrating an example in which some of functions of the biological information processor in  FIG.  1    are provided in the server apparatus. 
         FIG.  19    is a diagram illustrating an example in which some of functions of the information processor in  FIG.  12    are provided in the server apparatus. 
         FIG.  20    is a diagram illustrating an example in which some of functions of the information processor in  FIG.  1    are provided in the server apparatus. 
     
    
    
     MODES FOR CARRYING OUT THE INVENTION 
     Hereinafter, description is given in detail of embodiments for carrying out the present disclosure with reference to the drawings. It is to be noted that the description is given in the following order. 
     1. Embodiment (FIGS.  1  to  11 ) 
     
         
         
           
             An example in which a sensor that detects external sweating and a sensor that detects internal sweating are provided 
           
         
       
    
     2. Modification Example 
     
         
         
           
             An example in which functions of a signal processing unit are implemented by a program ( FIG.  12   ) 
           
         
       
    
     3. Application Example 
     
         
         
           
             An example in which a biological information processor is provided in a wearable apparatus ( FIGS.  13  to  20   ) 
           
         
       
    
     1. Embodiment 
     Human beings have a function to sweat on a body surface as a response of an autonomic nervous system with respect to an environmental change. Examples of the sweating include thermal sweating to adjust a body temperature in a hot environment or during exercise, mental sweating at the time when subjected to a mental stimulus such as a mental tension or an emotional change, gustatory sweating at the time when eating something hot and spicy, and the like. 
     There is biological measurement called sweating measurement to acquire a change due to this sweating on the body surface. The sweating measurement is performed by using a sweat sensor. It is a common technique, in the sweating measurement, to place at least two or more electrodes on a body surface and apply a voltage or flow a current between the electrodes to acquire a change in impedance (or a change in conductance) between the electrodes due to an action of sweating on the body surface. 
     In the sweating measurement, active sweat glands and a sweat amount on a current path affect measurement results. In daily use, a wrist on which a wristwatch or the like is worn is considered to be useful as a measurement site. However, the wrist has less active sweat glands and less changes in the sweat amount than those of a finger or a palm. In addition, there are individual differences in the distribution of active sweat glands, thus making it difficult to specify locations thereof. This makes it difficult to measure a skin conductance response, which is a detection target of the mental sweating. 
     Examples of a method to solve the above issue include a method of increasing the area of electrodes and the detection rate of active sweat glands to thereby increase a signal intensity for detection. However, such a method also increases a region subjected to a change in contact between the electrode and the skin, thus making a body motion noise due to the change in contact between the electrode and the skin more likely to occur depending on a state of the worn sweat sensor. Examples of a measure to reduce the body motion noise include an invention described in PTL 1 mentioned above. However, the method described in PTL 1 utilizes a pressure sensor to reduce the body motion noise, and thus a reduction effect of the body motion noise is limitative due to a structural constraint on the pressure sensor. The present disclosure proposes a method of reducing the body motion noise more effectively without using the pressure sensor. 
     [Configuration] 
       FIG.  1    illustrates an example of a schematic configuration of a biological information processor  1  according to an embodiment of the present disclosure. The biological information processor  1  is a device that measures mental sweating by means of an electric or optical method, or the like. The biological information processor  1  includes a sensor unit  10 , a signal processing unit  20 , a storage unit  30 , and a data output unit  40 .  FIG.  2    illustrates an example of a cross-sectional configuration of a vicinity of a surface of a biological body  100  (a biological surface  110 ) with which the sensor unit  10  is brought into contact. 
     In the biological body  100 , the biological surface  110  is covered with an epidermis  120 , and a dermis  130  is formed below the epidermis  120  with a basement membrane interposed therebetween. A large number of sweat glands  140  are formed in the epidermis  120  and the dermis  130 . External sweat s 2  oozes to the biological surface  110  from the sweat gland  140 , and internal sweat s 1  that does not ooze to the biological surface  110  is present inside the epidermis  120  and the dermis  130 . The external sweat s 2  is sweat that oozes out of the epidermis  120 . The internal sweat s 1  is sweat inside the epidermis  120  and the dermis  130 . 
     The sensor unit  10  includes two types of sensor sections (a first sensor section  11  and a second sensor section  12 ). The first sensor section  11  is an electric sweat sensor that electrically detects an amount of sweat (external sweat amount) oozing out of the epidermis  120  and outputs first sensor data Sig 1 ( t ) obtained thereby. The second sensor section  12  is an optical sweat sensor that optically detects an amount of sweat (internal sweat amount) inside the epidermis  120  and the dermis  130  and outputs second sensor data Sig 2 ( t ) obtained thereby. The first sensor section  11  and the second sensor section  12  are in contact with the same location or a location equivalent thereto of the biological surface  110 . The “equivalent location” refers to a location that allows for substantially equal measurement as compared with a case where the first sensor section  11  and the second sensor section  12  are placed in the same location of the biological surface  110 . 
     For example, as illustrated in  FIG.  3   , the first sensor section  11  includes a detection electrode  11 A, and, upon measurement, brings the detection electrode  11 A into contact with the biological surface  110  to flow a predetermined current to the epidermis  120 , thereby detecting the external sweat amount. The detection electrode  11 A is configured by an electrically-conductive metal layer, for example. For example, as illustrated in  FIG.  3   , the second sensor section  12  includes a light source  12 A. The light source  12 A irradiates the “equivalent location” of the biological surface  110  with light L in a wavelength band reaching the dermis  130 , and the second sensor section  12  detects reflected light thereof to thereby detect the internal sweat amount. 
     For example, the detection electrode  11 A may be provided with a plurality of openings h as illustrated in  FIG.  4   . The plurality of openings h is provided to transmit the light L. At this time, for example, as illustrated in  FIG.  4   , the light source  12 A is disposed on the detection electrode  11 A. The light source  12 A disposed on the detection electrode  11 A irradiates the “same location” of the biological surface  110  with the light L in the wavelength band reaching the dermis  130  via the plurality of openings h. 
     The detection electrode  11 A may be configured by a light-transmissive electrically-conductive material (e.g., ITO, etc.) that transmits the light L. In this case, the light L is transmitted through the detection electrode  11 A even when the detection electrode  11 A is not provided with the plurality of openings h. Accordingly, for example, as illustrated in  FIG.  5   , the light source  12 A is disposed on the detection electrode  11 A, and the light source  12 A disposed on the detection electrode  11 A irradiates the “same location” of the biological surface  110  with the light L in the wavelength band reaching the dermis  130  via the detection electrode  11 A. 
     The storage unit  30  is, for example, a volatile memory such as a DRAM (Dynamic Random Access Memory), or a non-volatile memory such as an EEPROM (Electrically Erasable Programmable Read-Only Memory) or a flush memory. The storage unit  30  stores sensor data (first sensor data Sig 1 ( t ) and second sensor data Sig 2 ( t )) obtained from the sensor unit  10 , and data (external sweat amount data C(t), internal sweat amount data Q(t), and sweat intensity S) generated by the signal processing unit  20 . 
     The signal processing unit  20  includes, for example, a basic measurement section  21 , a reliability determination section  22 , and a sweat intensity estimation section  23 , as illustrated in  FIG.  1   . 
     As illustrated in  FIG.  6   , the basic measurement section  21  includes, for example, a first sensor data acquisition part  21   a  that acquires the analog first sensor data Sig 1 ( t ), and an external sweat amount calculation part  21   b  that generates the external sweat amount data C(t) on the basis of the first sensor data Sig 1 ( t ). The external sweat amount calculation part  21   b  includes, for example, an IV converter that performs IV-conversion of the first sensor data Sig 1 ( t ) which is a current signal, an amplifier that amplifies a voltage signal obtained by the IV-conversion, and a filter that reduces an unnecessary frequency component included in the amplified voltage signal. The external sweat amount calculation part  21   b  outputs, to a variation calculation part  21   c , the external sweat amount data C(t) which is a voltage signal obtained by pieces of processing performed by the IV converter, the amplifier, and the filter, for example. 
     As illustrated in  FIG.  6   , the basic measurement section  21  further includes, for example, the variation calculation part  21   c . The variation calculation part  21   c  calculates first difference data ΔC(t) (=C(t)−C(t−1)), which is a difference between two pieces of data having detection times different from each other, among the external sweat amount data C(t). The variation calculation part  21   c  outputs the calculated first difference data ΔC(t) to the reliability determination section  22 . 
     As illustrated in  FIG.  6   , the basic measurement section  21  further includes, for example, a second sensor data acquisition part  21   d  that acquires the analog second sensor data Sig 2 ( t ), and an internal sweat amount calculation part  21   e  that generates the internal sweat amount data Q(t) on the basis of the second sensor data Sig 2 ( t ). The internal sweat amount calculation part  21   e  includes, for example, an IV converter that performs IV-conversion of the second sensor data Sig 2 ( t ) which is a current signal, an amplifier that amplifies a voltage signal obtained by the IV-conversion, and a filter that reduces an unnecessary frequency component included in the amplified voltage signal. The internal sweat amount calculation part  21   e  outputs, to a variation calculation part  21   f , the internal sweat amount data Q(t) which is a voltage signal obtained by pieces of processing performed by the IV converter, the amplifier, and the filter, for example. 
     As illustrated in  FIG.  6   , the basic measurement section  21  further includes, for example, the variation calculation part  21   f . The variation calculation part  21   f  calculates second difference data ΔQ(t) (=Q(t)−Q(t−1)), which is a difference between two pieces of data having detection times different from each other, among the internal sweat amount data Q(t). The variation calculation part  21   f  outputs the calculated second difference data ΔQ(t) to the reliability determination section  22 . 
       FIG.  7    illustrates an example of a determination table  22 A to be used in the reliability determination section  22 . The determination table  22 A specifies a correlation between the first difference data ΔC(t) and the second difference data ΔQ(t) and reliability thereof. For example, in a case where both the first difference data ΔC(t) and the second difference data ΔQ(t) decrease (i.e., being negative values), the first difference data ΔC(t) and the second difference data ΔQ(t) have a correlation of an in phase with respect to each other. At this time, it can be said that the reliability of each of the first difference data ΔC(t) and the second difference data ΔQ(t) is high. In addition, for example, in a case where both the first difference data ΔC(t) and the second difference data ΔQ(t) are constant (i.e., being values of roughly zero), the first difference data ΔC(t) and the second difference data ΔQ(t) have a correlation of an in phase with respect to each other. At this time, it can be said that the reliability of each of the first difference data ΔC(t) and the second difference data ΔQ(t) is high. In addition, for example, in a case where both the first difference data ΔC(t) and the second difference data ΔQ(t) increase (i.e., being positive values), the first difference data ΔC(t) and the second difference data ΔQ(t) have a correlation of an in phase with respect to each other. At this time, it can be said that the reliability of each of the first difference data ΔC(t) and the second difference data ΔQ(t) is high. 
     In addition, for example, in a case where the first difference data ΔC(t) is constant (i.e., being a value of roughly zero) and the second difference data ΔQ(t) decreases (i.e., being a negative value), there is no correlation between the first difference data ΔC(t) and the second difference data ΔQ(t). At this time, it can be said that the reliability of each of the first difference data ΔC(t) and the second difference data ΔQ(t) is medium. In addition, for example, in a case where the first difference data ΔC(t) decreases (i.e., being a negative value) and the second difference data ΔQ(t) is constant (i.e., being a value of roughly zero), there is no correlation between the first difference data ΔC(t) and the second difference data ΔQ(t). At this time, it can be said that the reliability of each of the first difference data ΔC(t) and the second difference data ΔQ(t) is medium. 
     In addition, for example, in a case where the first difference data ΔC(t) increases (i.e., being a positive value) and the second difference data ΔQ(t) is constant (i.e., being a value of roughly zero), there is no correlation between the first difference data ΔC(t) and the second difference data ΔQ(t). At this time, it can be said that the reliability of each of the first difference data ΔC(t) and the second difference data ΔQ(t) is medium. In addition, for example, in a case where the first difference data ΔC(t) is constant (i.e., being a value of roughly zero) and the second difference data ΔQ(t) increases (i.e., being a positive value), there is no correlation between the first difference data ΔC(t) and the second difference data ΔQ(t). At this time, it can be said that the reliability of each of the first difference data ΔC(t) and the second difference data ΔQ(t) is medium. 
     In addition, for example, in a case where the first difference data ΔC(t) increases (i.e., being a positive value) and the second difference data ΔQ(t) decreases (i.e., being a negative value), the first difference data ΔC(t) and the second difference data ΔQ(t) have a relationship of a reverse phase with respect to each other. At this time, it can be said that the reliability of each of the first difference data ΔC(t) and the second difference data ΔQ(t) is low. In addition, for example, in a case where the first difference data ΔC(t) decreases (i.e., being a negative value) and the second difference data ΔQ(t) increases (i.e., being a positive value), the first difference data ΔC(t) and the second difference data ΔQ(t) have a relationship of a reverse phase with respect to each other. At this time, it can be said that the reliability of each of the first difference data ΔC(t) and the second difference data ΔQ(t) is low. 
     For example, the reliability determination section  22  uses the determination table  22 A to evaluate the reliability of each of the external sweat amount data C(t) and the internal sweat amount data Q(t), and, on the basis of a result of the evaluation, records/discards data corresponding to the reliability in a procedure illustrated in  FIG.  8   , for example. 
     The reliability determination section  22  determines the reliability of the external sweat amount data C(t) on the basis of the second difference data ΔQ(t), for example (step S 101 ). The reliability determination section  22  determines the reliability of the internal sweat amount data Q(t) on the basis of the first difference data ΔC(t), for example (step S 101 ). 
     For example, in a case where the first difference data ΔC(t) and the second difference data ΔQ(t) include a correlation of a reverse phase with respect to each other, the reliability determination section  22  gives a low evaluation to each reliability of portions in the correlation of the reverse phase with respect to each other, among the external sweat amount data C(t) and the internal sweat amount data Q(t). For example, in a case where the first difference data ΔC(t) and the second difference data ΔQ(t) include a correlation of an in phase with respect to each other, the reliability determination section  22  gives a high evaluation to each reliability of portions in the correlation of the in phase with respect to each other, among the external sweat amount data C(t) and the internal sweat amount data Q(t). For example, a calculation such as normalized cross-correlation may be used to determine whether the correlation is an in phase or a reverse phase. 
     The reliability determination section  22  performs processing on the external sweat amount data C(t) on the basis of a result of the evaluation of the reliability of the external sweat amount data C(t), for example, and sets the resulting data as sweat amount data  20 A (to be included in the sweat amount data  20 A). The reliability determination section  22  performs processing on the internal sweat amount data Q(t) on the basis of a result of the evaluation of the reliability of the internal sweat amount data Q(t), for example, and sets the resulting data as the sweat amount data  20 A (to be included in the sweat amount data  20 A). That is, the reliability determination section  22  generates the sweat amount data  20 A on the basis of the external sweat amount data C(t) and the internal sweat amount data Q(t). 
     For example, in a case where the reliability of the first difference data ΔC(t) is low (step S 102 ; Y), the reliability determination section  22  discards the external sweat amount data C(t) corresponding to the first difference data ΔC(t), or deletes the external sweat amount data C(t) corresponding to the first difference data ΔC(t) from the storage unit  30  (step S 103 ). At this time, the reliability determination section  22  excludes the external sweat amount data C(t) corresponding to the first difference data ΔC(t) from the sweat amount data  20 A. 
     In addition, for example, in a case where the reliability of the second difference data ΔQ(t) is low (step S 102 ; Y), the reliability determination section  22  discards the internal sweat amount data Q(t) corresponding to the second difference data ΔQ(t), or deletes the internal sweat amount data Q(t) corresponding to the second difference data ΔQ(t) from the storage unit  30  (step S 103 ). At this time, the reliability determination section  22  excludes the internal sweat amount data Q(t) corresponding to the second difference data ΔQ(t) from the sweat amount data  20 A. 
     For example, in a case where the reliability of the first difference data ΔC(t) is not low (step S 102 ; N), i.e., in a case where the reliability of the first difference data ΔC(t) is high or medium, the reliability determination section  22  records the external sweat amount data C(t) corresponding to the first difference data ΔC(t) in the storage unit  30 , or maintains the recording of the external sweat amount data C(t) corresponding to the first difference data ΔC(t) recorded in the storage unit  30  (step S 104 ). At this time, the reliability determination section  22  sets the external sweat amount data C(t) corresponding to the first difference data ΔC(t) as the sweat amount data  20 A (to be included in the sweat amount data  20 A). 
     For example, in a case where the reliability of the second difference data ΔQ(t) is not low (step S 102 ; N), i.e., in a case where the reliability of the second difference data ΔQ(t) is high or medium, the reliability determination section  22  records the internal sweat amount data Q(t) corresponding to the second difference data ΔQ(t) in the storage unit  30 , or maintains the recording of the internal sweat amount data Q(t) corresponding to the second difference data ΔQ(t) recorded in the storage unit  30  (step S 104 ). At this time, the reliability determination section  22  sets the internal sweat amount data Q(t) corresponding to the second difference data ΔQ(t) as the sweat amount data  20 A (to be included in the sweat amount data  20 A). 
     In a case where the determination of the reliability is not finished (step S 105 ; N), the reliability determination section  22  continues to execute step S 101 ; in a case other than that (step S 105 ; Y), the reliability determination section  22  finishes the determination of the reliability. 
     For example, the reliability determination section  22  may use the determination table  22 A to evaluate the reliability of each of the external sweat amount data C(t) and the internal sweat amount data Q(t), and, on the basis of a result of the evaluation, may record data corresponding to the reliability in a procedure illustrated in  FIG.  9   , for example. 
     The reliability determination section  22  generates first reliability evaluation data Ec(t) on the external sweat amount data C(t) on the basis of a result of the evaluation of the reliability of the external sweat amount data C(t), for example (step S 106 ). The first reliability evaluation data Ec(t) includes, for example, data (t) on the result of the evaluation of the reliability of the external sweat amount data C(t). At this time, the reliability determination section  22  sets each of the external sweat amount data C(t) and the first reliability evaluation data Ec(t) as the sweat amount data  20 A (to be included in the sweat amount data  20 A). 
     The reliability determination section  22  generates second reliability evaluation data Eq(t) corresponding to the internal sweat amount data Q(t) on the basis of a result of the evaluation of the reliability of the internal sweat amount data Q(t), for example (step S 106 ). The first reliability evaluation data Ec(t) includes, for example, the data (t) on the result of the evaluation of the reliability of the internal sweat amount data Q(t). At this time, the reliability determination section  22  sets each of the internal sweat amount data Q(t) and the second reliability evaluation data Eq(t) as the sweat amount data  20 A (to be included in the sweat amount data  20 A). 
     Next, description is given of the sweat intensity estimation section  23 . In a case where the reliability is high and both the first difference data ΔC(t) and the second difference data ΔQ(t) increase (i.e., being positive values) in the reliability determination section  22 , the sweat intensity estimation section  23  performs sweat intensity estimation. 
       FIG.  10    illustrates an example of temporal changes in the internal sweat amount data Q(t) and the external sweat amount data C(t).  FIG.  11    illustrates an example of a procedure to estimate sweat intensity in the sweat intensity estimation section  23 . 
     First, the sweat intensity estimation section  23  derives rising times ta and tb in a time region with high reliability among the internal sweat amount data Q(t) and the external sweat amount data C(t) (step S 201 ). Here, the rising time ta refers to rising time in the time region with high reliability of the internal sweat amount data Q(t). Internal sweat amount data Q(ta) is, for example, an average value of waveforms before rising in the time region with high reliability of the internal sweat amount data Q(t)+3σ. The sweat intensity estimation section  23  detects, as the rising time ta, time when the internal sweat amount data Q(t) gradually rises to exceed the internal sweat amount data Q(ta). The rising time tb refers to rising time in the time region with high reliability of the external sweat amount data C(t). External sweat amount data C(tb) is, for example, an average value of waveforms before rising in the time region with high reliability of the external sweat amount data C(t)+3σ. The sweat intensity estimation section  23  detects, as the rising time tb, time when the external sweat amount data C(t) gradually rises to exceed the external sweat amount data C(tb). The rising times ta and tb may be derived by a calculation method different from those described above. 
     Next, the sweat intensity estimation section  23  derives a difference tdiff(=tb−ta) between the rising times ta and tb and the internal sweat amount data Q(ta) (step S 202 ). The difference tdiff(=tb−ta) is correlated with a rate (sweat rate) at which sweat is excreted from the inside of the sweat gland  140  to the outside. The internal sweat amount data Q(ta) is an amount of sweat accumulated (accumulated sweat amount) inside the sweat gland  140  at the rising time ta. From the graph in  FIG.  10   , as the accumulated sweat amount becomes larger, the difference tdiff becomes smaller, and, as the accumulated sweat amount becomes smaller, the difference tdiff becomes larger. For this reason, the sweat intensity S using the difference tdiff and the internal sweat amount data Q(ta) may be a new index in the sweating measurement. Therefore, the sweat intensity estimation section  23  derives the sweat intensity S (step S 203 ). The sweat intensity S is represented by 1/(tdiff×Q(ta)), for example. The sweat intensity S may be represented by an expression different from the expression described above. The sweat intensity estimation section  23  sets the derived sweat intensity S as the sweat amount data  20 A (to be included in the sweat amount data  20 A). 
     The sweat intensity estimation section  23  outputs the sweat amount data  20 A generated as described above to the data output unit  40 . The data output unit  40  outputs the sweat amount data  20 A acquired from the sweat intensity estimation section  23  to the outside. For example, every time a time region with high reliability is detected by the reliability determination section  22  in the internal sweat amount data Q(t) and the external sweat amount data C(t), the sweat intensity estimation section  23  derives the sweat intensity S (step S 204 ; N). For example, when a predetermined condition is satisfied, the sweat intensity estimation section  23  finishes the derivation of the sweat intensity S (Step S 204 ; Y) 
     [Effects] 
     Next description is given of effects of the biological information processor  1 . 
     In the biological information processor  1 , the sweat amount data  20 A to be outputted to the outside is generated on the basis of the external sweat amount data C(t) and the internal sweat amount data Q(t) generated on the basis of the outputs of the first sensor section  11  and the second sensor section  12 . This makes it possible, for example, to use the internal sweat amount data Q(t) as reference data of the external sweat amount data C(t) and to use the external sweat amount data C(t) as reference data of the internal sweat amount data Q(t). As a result, it is possible to detect and reduce a body motion noise from the external sweat amount data C(t) or the internal sweat amount data Q(t) without using an output of the pressure sensor as the reference data. Thus, it is possible to reduce the body motion noise more effectively. 
     In the biological information processor  1 , the reliability of the external sweat amount data C(t) is evaluated on the basis of the second difference data ΔQ(t), which is a difference between two pieces of data having detection times different from each other, among the internal sweat amount data Q(t). Then, on the basis of a result of the evaluation of the reliability of the external sweat amount data C(t), processing is performed on the external sweat amount data C(t), and the resulting data serves as the sweat amount data  20 A. In this manner, it is possible to detect and reduce the body motion noise from the external sweat amount data C(t) without using the output of the pressure sensor as the reference data. Thus, it is possible to reduce the body motion noise more effectively. 
     In the biological information processor  1 , the reliability of the internal sweat amount data Q(t) is evaluated on the basis of the first difference data ΔC(t), which is a difference between two pieces of data having detection times different from each other, among the external sweat amount data C(t). Then, on the basis of a result of the evaluation of the reliability of the internal sweat amount data Q(t), processing is performed on the internal sweat amount data Q(t), and the resulting data serves as the sweat amount data  20 A. In this manner, it is possible to detect and reduce the body motion noise from the internal sweat amount data Q(t) without using the output of the pressure sensor as the reference data. Thus, it is possible to reduce the body motion noise more effectively. 
     In the biological information processor  1 , in a case where the second difference data ΔQ(t) and the first difference data ΔC(t) include a correlation of a reverse phase with respect to each other, each reliability of portions in the correlation of the reverse phase with respect to each other, among the external sweat amount data C(t) and the internal sweat amount data Q(t), is given a low evaluation. Further, in a case where the second difference data ΔQ(t) and the first difference data ΔC(t) include a correlation of an in phase with respect to each other, each reliability of portions in the correlation of the in phase with respect to each other, among the external sweat amount data C(t) and the internal sweat amount data Q(t), is given a high evaluation. Then, the data of the portions evaluated to have high reliability, among the external sweat amount data C(t) and the internal sweat amount data Q(t), serves as the sweat amount data  20 A, and the data of the portions evaluated to have low reliability, among the external sweat amount data C(t) and the internal sweat amount data Q(t), is excluded from the sweat amount data  20 A. In this manner, only the data evaluated to have high reliability remains as the sweat amount data  20 A to be outputted to the outside. Thus, it is possible to provide the sweat amount data  20 A in which the body motion noise is reduced more effectively. 
     In the biological information processor  1 , the reliability of the external sweat amount data C(t) is evaluated on the basis of the second difference data ΔQ(t), which is a difference between two pieces of data having detection times different from each other, among the internal sweat amount data Q(t). Then, on the basis of a result of the evaluation of the reliability of the external sweat amount data C(t), reliability evaluation data Ex(t) on the external sweat amount data C(t) is generated. This makes it possible to extract data with high reliability from among data included in the sweat amount data  20 A by referring to the reliability evaluation data Ex(t), without excluding data evaluated to have low reliability from the sweat amount data  20 A to be outputted to the outside. Thus, outputting the reliability evaluation data Ex(t) together with the external sweat amount data C(t) to the outside makes it possible to provide the sweat amount data  20 A in which the body motion noise is reduced more effectively. 
     In the biological information processor  1 , the reliability of the internal sweat amount data Q(t) is evaluated on the basis of the first difference data ΔQ(t), which is a difference between two pieces of data having detection times different from each other, among the external sweat amount data C(t). Then, on the basis of a result of the evaluation of the reliability of the internal sweat amount data Q(t), the reliability evaluation data Eq(t) on the internal sweat amount data Q(t) is generated. This makes it possible to extract data with high reliability from among data included in the sweat amount data  20 A by referring to the reliability evaluation data Eq(t), without excluding data evaluated to have low reliability from the sweat amount data  20 A to be outputted to the outside. Thus, outputting the reliability evaluation data Eq(t) together with the internal sweat amount data Q(t) to the outside makes it possible to provide the sweat amount data  20 A in which the body motion noise is reduced more effectively. 
     2. Modification Example 
     In the foregoing embodiment, for example, as illustrated in  FIG.  12   , a processing program  31  may be stored in the storage unit  30 . At this time, the processing program  31  may be loaded into the signal processing unit  20  to thereby cause the signal processing unit  20  to execute the various functions described above. Also in such a case, it is possible to obtain effects similar to those of the foregoing embodiment. 
     3. Application Example 
     Hereinafter, description is given of an example in which the biological information processor  1  according to the foregoing embodiment and modification example thereof is applied to a wearable apparatus  200 . 
       FIG.  13    illustrates a state in which the biological information processor  1  according to the foregoing embodiment and modification example thereof is built in the wearable apparatus  200 .  FIG.  13    illustrates a state in which the biological information processor  1  is built in the wearable apparatus  200  of a wristband type or a wristwatch type.  FIG.  14    illustrates an example of a side configuration of the wearable apparatus  200  in  FIG.  13   . The wearable apparatus  200  includes, for example, a housing  210  that accommodates various devices, and a belt  220  to fix a wrist. The housing  210  accommodates, for example, the signal processing unit  20 , the storage unit  30 , and the data output unit  40 . For example, the sensor unit  10  is provided on an inner surface of the belt  220 . For example, the detection electrode  11 A and the light source  12 A are provided at a location, of the sensor unit  10 , in contact with a wrist of the biological body  100 . 
     The biological information processor  1  built in the wearable apparatus  200  is coupled to a terminal apparatus  300  via a network  400 , for example, as illustrated in  FIG.  15   . At this time, in the biological information processor  1  built in the wearable apparatus  200 , the data output unit  40  is coupled to the terminal apparatus  300  via the network  400 , for example, as illustrated in  FIG.  16   . In the biological information processor  1  built in the wearable apparatus  200 , the signal processing unit  20  includes the basic measurement section  21  and the reliability determination section  22 . The sweat intensity estimation section  23  is omitted from the signal processing unit  20 , and a processing program  331  that implements the functions of the sweat intensity estimation section  23  is stored in a storage unit  330  of the terminal apparatus  300 . That is, the functions of the sweat intensity estimation section  23  are transferred from the biological information processor  1  to the terminal apparatus  300 . In the biological information processor  1  built in the wearable apparatus  200 , the storage unit  30  stores the sensor data (first sensor data Sig 1 ( t ) and second sensor data Sig 2 ( t )) obtained from the sensor unit  10  and the data (external sweat amount data C(t) and internal sweat amount data Q(t)) generated by the signal processing unit  20 . 
     The terminal apparatus  300  includes, for example, a control unit  310 , a communication unit  320 , and the storage unit  330 . Loading the processing program  331  into the control unit  310  causes the control unit  310  to execute the functions of the sweat intensity estimation section  23 . The storage unit  330  is, for example, a volatile memory such as a DRAM, or a non-volatile memory such as an EEPROM or a flash memory. The storage unit  330  stores data (external sweat amount data C(t) and internal sweat amount data Q(t)) transmitted from the biological information processor  1  built in the wearable apparatus  200 , and data (sweat intensity S) obtained by execution of the processing program  331  in the control unit  310 . 
     It is to be noted that, for example, as illustrated in  FIG.  17   , a processing program  32  may be stored in the storage unit  30 . At this time, the processing program  32  may be loaded into the signal processing unit  20  to thereby cause the signal processing unit  20  to execute the functions of the basic measurement section  21  and the reliability determination section  22 . Also in such a case, it is possible to obtain effects similar to those of the foregoing embodiment. 
     In addition, in the biological information processor  1  built in the wearable apparatus  200 , the signal processing unit  20  may include, for example, the basic measurement section  21  as illustrated in  FIG.  18   . At this time, the reliability determination section  22  and the sweat intensity estimation section  23  are omitted from the signal processing unit  20 , and a processing program  332  that implements the functions of the reliability determination section  22  and the sweat intensity estimation section  23  is stored in the storage unit  330  of the terminal apparatus  300 . That is, the functions of the reliability determination section  22  and the sweat intensity estimation section  23  are transferred from the biological information processor  1  to the terminal apparatus  300 . In the biological information processor  1  built in the wearable apparatus  200 , the storage unit  30  stores the sensor data (first sensor data Sig 1 ( t ) and second sensor data Sig 2 ( t )) obtained from the sensor unit  10  and the data (external sweat amount data C(t) and internal sweat amount data Q(t)) generated by the signal processing unit  20 . 
     The terminal apparatus  300  includes, for example, the control unit  310 , the communication unit  320 , and the storage unit  330 . Loading the processing program  332  into the control unit  310  causes the control unit  310  to execute the functions of the reliability determination section  22  and the sweat intensity estimation section  23 . The storage unit  330  stores the data (external sweat amount data C(t) and internal sweat amount data Q(t)) transmitted from the biological information processor  1  built in the wearable apparatus  200 , and the data (sweat intensity S) obtained by execution of the processing program  332  in the control unit  310 . 
     It is to be noted that, for example, as illustrated in  FIG.  19   , a processing program  33  may be stored in the storage unit  30 . At this time, the processing program  33  may be loaded into the signal processing unit  20  to thereby cause the signal processing unit  20  to execute the functions of the basic measurement section  21 . Also in such a case, it is possible to obtain effects similar to those of the foregoing embodiment. 
     In addition, in the biological information processor  1  built in the wearable apparatus  200 , the signal processing unit  20  may include, for example, the first sensor data acquisition part  21   a  and the second sensor data acquisition part  21   d  as illustrated in  FIG.  20   . At this time, the external sweat amount calculation part  21   b , the variation calculation part  21   c , the internal sweat amount calculation part  21   e , the variation calculation part  21   f , the reliability determination section  22 , and the sweat intensity estimation section  23  are omitted from the signal processing unit  20 , and a processing program  333  that implements the functions of the external sweat amount calculation part  21   b , the variation calculation part  21   c , the internal sweat amount calculation part  21   e , the variation calculation part  21   f , the reliability determination section  22 , and the sweat intensity estimation section  23  is stored in the storage unit  330  of the terminal apparatus  300 . That is, the functions of the external sweat amount calculation part  21   b , the variation calculation part  21   c , the internal sweat amount calculation part  21   e , the variation calculation part  21   f , the reliability determination section  22 , and the sweat intensity estimation section  23  are transferred from the biological information processor  1  to the terminal apparatus  300 . In the biological information processor  1  built in the wearable apparatus  200 , the storage unit  30  stores the sensor data (first sensor data Sig 1 ( t ) and second sensor data Sig 2 ( t )) obtained from the sensor unit  10 . 
     The terminal apparatus  300  includes, for example, the control unit  310 , the communication unit  320 , and the storage unit  330 . Loading the processing program  333  into the control unit  310  causes the control unit  310  to execute the functions of the external sweat amount calculation part  21   b , the variation calculation part  21   c , the internal sweat amount calculation part  21   e , the variation calculation part  21   f , the reliability determination section  22 , and the sweat intensity estimation section  23 . The storage unit  330  stores the data (external sweat amount data C(t) and internal sweat amount data Q(t)) transmitted from the biological information processor  1  built in the wearable apparatus  200 , and the data (sweat intensity S) obtained by execution of the processing program  333  in the control unit  310 . 
     It is to be noted that the effects described herein are merely illustrative. The effects of the present disclosure are not limited to those described herein. The present disclosure may also have effects other than those described herein. 
     For example, the above-described series of processing may be executed by software or may be executed by hardware. 
     In addition, the foregoing plurality of embodiments and modification examples thereof are applicable to an application that requires objective cognitive load tolerance, for example, in games, healthcare, learning, training for sports games, training for human resource development, driving of a mobile body such as an automobile, and the like. 
     In addition, for example, the present disclosure may have the following configurations. 
     (1) 
     An information processor including:
         an acquisition section that acquires external sweat amount data on an amount of sweat oozing out of an epidermis and internal sweat amount data on an amount of sweat inside the epidermis and a dermis, the external sweat amount data being generated on a basis of an output of a first sensor section, the internal sweat amount data being generated on a basis of an output of a second sensor section; and   a generation section that generates sweat amount data on a basis of the external sweat amount data and the internal sweat amount data.
 
(2)
       

     The information processor according to (1), further including an evaluation section that evaluates reliability of the external sweat amount data on a basis of internal sweat amount difference data which is a difference between two pieces of data having detection times different from each other, among the internal sweat amount data, in which
         the generation section performs processing on the external sweat amount data on a basis of a result of the evaluation of the reliability of the external sweat amount data by the evaluation section, and sets resulting data as the sweat amount data.
 
(3)
       

     The information processor according to (2), in which
         the evaluation section evaluates reliability of the internal sweat amount data on a basis of external sweat amount difference data which is a difference between two pieces of data having detection times different from each other, among the external sweat amount data, and   the generation section performs processing on the internal sweat amount data on a basis of a result of the evaluation of the reliability of the internal sweat amount data by the evaluation section, and sets resulting data as the sweat amount data.
 
(4)
       

     The information processor according to (3), in which
         in a case where the internal sweat amount difference data and the external sweat amount difference data include a correlation of a reverse phase with respect to each other, the evaluation section gives a low evaluation to each reliability of portions in the correlation of the reverse phase with respect to each other, among the external sweat amount data and the internal sweat amount data, and, in a case where the internal sweat amount difference data and the external sweat amount difference data include a correlation of an in phase with respect to each other, the evaluation section gives a high evaluation to each reliability of portions in the correlation of the in phase with respect to each other, among the external sweat amount data and the internal sweat amount data, and   the generation section sets data of the portions evaluated to have high reliability by the evaluation section, among the external sweat amount data and the internal sweat amount data, as the sweat amount data, and excludes data of the portions evaluated to have low reliability by the evaluation section, among the external sweat amount data and the internal sweat amount data, from the sweat amount data.
 
(5)
       

     The information processor according to (4), further including an output section that outputs, to an outside, the sweat amount data in which the evaluation by the evaluation section is reflected. 
     (6) 
     The information processor according to (1), further including an evaluation section that evaluates reliability of the external sweat amount data on a basis of internal sweat amount difference data which is a difference between two pieces of data having detection times different from each other, among the internal sweat amount data, in which
         the generation section generates first reliability evaluation data on the external sweat amount data on a basis of a result of the evaluation of the reliability of the external sweat amount data by the evaluation section.
 
(7)
       

     The information processor according to (6), further including an output section that outputs, as the sweat amount data, the external sweat amount data and the first reliability evaluation data to an outside. 
     (8) 
     The information processor according to (6), in which
         the evaluation section evaluates reliability of the internal sweat amount data on a basis of external sweat amount difference data which is a difference between two pieces of data having detection times different from each other, among the external sweat amount data, and   the generation section generates second reliability evaluation data on the internal sweat amount data on a basis of a result of the evaluation of the reliability of the internal sweat amount data by the evaluation section.
 
(9)
       

     The information processor according to (8), further including an output section that outputs, as the sweat amount data, the external sweat amount data, the internal sweat amount data, the first reliability evaluation data, and the second reliability evaluation data to an outside. 
     (10) 
     The information processor according to any one of (1) to (9), further including:
         the first sensor section that detects an external sweat amount, and outputs data thus obtained; and   the second sensor section that detects an internal sweat amount, and outputs data thus obtained.
 
(11)
       

     The information processor according to (10), in which
         the first sensor section electrically detects the external sweat amount, and   the second sensor section optically detects the internal sweat amount.
 
(12)
       

     An information processing program that causes a computer to:
         acquire external sweat amount data generated on a basis of an output of a first sensor section and internal sweat amount data generated on a basis of an output of a second sensor; and   generate sweat amount data on a basis of the external sweat amount data and the internal sweat amount data.       

     According to the information processor of a first aspect of the present disclosure, sweat amount data is generated on the basis of external sweat amount data and internal sweat amount data generated on the basis of outputs of the first sensor section and the second sensor section, thus making it possible, for example, to use the internal sweat amount data as reference data of the external sweat amount data and to use the external sweat amount data as reference data of the internal sweat amount data. As a result, it is possible to reduce a body motion noise from the external sweat amount data or the internal sweat amount data without using the output of the pressure sensor as the reference data. Thus, it is possible to reduce the body motion noise effectively. 
     According to the information processing program of a second aspect of the present disclosure, the sweat amount data is generated on the basis of the external sweat amount data and the internal sweat amount data generated on the basis of outputs of the first sensor section and the second sensor section, thus making it possible, for example, to use the internal sweat amount data as reference data of the external sweat amount data and to use the external sweat amount data as reference data of the internal sweat amount data. As a result, it is possible to reduce a body motion noise from the external sweat amount data or the internal sweat amount data without using the output of the pressure sensor as the reference data. Thus, it is possible to reduce the body motion noise effectively. 
     In addition, for example, the present disclosure may have the following configurations. 
     (1) 
     An information processor including:
         an acquisition section that acquires first sweat amount data generated on a basis of an output of an electric sensor section and second sweat amount data generated on a basis of an output of an optical sensor section; and   a generation section that generates sweat amount data on a basis of the first sweat amount data and the second sweat amount data.
 
(2)
       

     The information processor according to (1), further including an evaluation section that evaluates reliability of the first sweat amount data on a basis of second sweat amount difference data which is a difference between two pieces of data having detection times different from each other, among the second sweat amount data, in which
         the generation section performs processing on the first sweat amount data on a basis of a result of the evaluation of the reliability of the first sweat amount data by the evaluation section, and sets resulting data as the sweat amount data.
 
(3)
       

     The information processor according to (2), in which
         the evaluation section evaluates reliability of the second sweat amount data on a basis of first sweat amount difference data which is a difference between two pieces of data having detection times different from each other, among the first sweat amount data, and   the generation section performs processing on the second sweat amount data on a basis of a result of the evaluation of the reliability of the second sweat amount data by the evaluation section, and sets resulting data as the sweat amount data.
 
(4)
       

     The information processor according to (3), in which
         in a case where the second sweat amount difference data and the first sweat amount difference data include a correlation of a reverse phase with respect to each other, the evaluation section gives a low evaluation to each reliability of portions in the correlation of the reverse phase with respect to each other, among the first sweat amount data and the second sweat amount data, and, in a case where the second sweat amount difference data and the first sweat amount difference data include a correlation of an in phase with respect to each other, the evaluation section gives a high evaluation to each reliability of portions in the correlation of the in phase with respect to each other, among the first sweat amount data and the second sweat amount data, and   the generation section sets data of the portions evaluated to have high reliability by the evaluation section, among the first sweat amount data and the second sweat amount data, as the sweat amount data, and excludes data of the portions evaluated to have low reliability by the evaluation section, among the first sweat amount data and the second sweat amount data, from the sweat amount data.
 
(5)
       

     The information processor according to (4), further including an output section that outputs, to an outside, the sweat amount data in which the evaluation by the evaluation section is reflected. 
     (6) 
     The information processor according to (1), further including an evaluation section that evaluates reliability of the first sweat amount data on a basis of second sweat amount difference data which is a difference between two pieces of data having detection times different from each other, among the second sweat amount data, in which
         the generation section generates first reliability evaluation data on the first sweat amount data on a basis of a result of the evaluation of the reliability of the first sweat amount data by the evaluation section.
 
(7)
       

     The information processor according to (6), further including an output section that outputs, as the sweat amount data, the first sweat amount data and the first reliability evaluation data to an outside. 
     (8) 
     The information processor according to (6), in which
         the evaluation section evaluates reliability of the second sweat amount data on a basis of first sweat amount difference data which is a difference between two pieces of data having detection times different from each other, among the first sweat amount data, and   the generation section generates second reliability evaluation data on the second sweat amount data on a basis of a result of the evaluation of the reliability of the second sweat amount data by the evaluation section.
 
(9)
       

     The information processor according to (8), further including an output section that outputs, as the sweat amount data, the first sweat amount data, the second sweat amount data, the first reliability evaluation data, and the second reliability evaluation data to an outside. 
     (10) 
     The information processor according to any one of (1) to (9), further comprising:
         the electric sensor section that electrically detects an amount of sweat oozing out of an epidermis; and   the optical sensor section that optically detects an amount of sweat inside the epidermis and a dermis.
 
(11)
       

     An information processing program that causes a computer to:
         acquire first sweat amount data generated on a basis of an output of an electric sensor section and second sweat amount data generated on a basis of an output of an optical sensor; and   generate sweat amount data on a basis of the first sweat amount data and the second sweat amount data.       

     According to the information processor of a first aspect of the present disclosure, sweat amount data is generated on the basis of first sweat amount data and second sweat amount data generated on the basis of outputs of the electric sensor section and the optical sensor section, thus making it possible, for example, to use the second sweat amount data as reference data of the first sweat amount data and to use the first sweat amount data as reference data of the second sweat amount data. As a result, it is possible to detect and reduce a body motion noise from the first sweat amount data or the second sweat amount data without using the output of the pressure sensor as the reference data. Thus, it is possible to reduce the body motion noise more effectively. 
     According to the information processing program of a second aspect of the present disclosure, the sweat amount data is generated on the basis of the first sweat amount data and the second sweat amount data generated on the basis of outputs of the electric sensor section and the optical sensor section, thus making it possible, for example, to use the second sweat amount data as reference data of the first sweat amount data and to use the first sweat amount data as reference data of the second sweat amount data. As a result, it is possible to detect and reduce a body motion noise from the first sweat amount data or the second sweat amount data without using the output of the pressure sensor as the reference data. Thus, it is possible to reduce the body motion noise more effectively. 
     This application claims the benefits of Japanese Priority Patent Application JP2020-072405 filed with the Japan Patent Office on Apr. 14, 2020, the entire contents of which are incorporated herein by reference. 
     It should be understood by those skilled in the art that various modifications, combinations, sub-combinations, and alterations may occur depending on design requirements and other factors insofar as they are within the scope of the appended claims or the equivalents thereof.