Abstract:
Since questionnaires are used according to the sensitivity marketing method in the related art, it is not possible to obtain answers from many people at the same time, and also, analysis of the answers requires a long time, which does not match life cycles of product development. Furthermore, there is a problem that credibility of the aggregate result is low without the use of biomarkers. A sensitivity evaluation system for evaluating distributed video information has a client system that transmits an evaluation request related to the video information to an information analysis system and transmits the video information, which is to be viewed by an examinee at a terminal. The terminal transmits a biosignal, which is measured by an apparatus that the examinee wears to the information analysis system which analyzes the biosignal, creates a report related to the video information, and transmits the created report to the client system.

Description:
TECHNICAL FIELD  
       [0001]    The present invention relates to a sensitivity evaluation system that employs biomarkers. 
       BACKGROUND ART  
       [0002]    Currently, the needs of consumers change constantly, and thus it is necessary to quickly reflect the preferences of the consumers and to create content when products are developed. As one of the methods therefor, there is a monitoring system. The monitoring system is based on a scheme for evaluating products by examinees registering as monitors and filling out questionnaires that are sent from organizations that request such experiments. In addition, audience ratings are known as a mechanism for evaluating advertisements and programs. As for the audience ratings, a scheme is employed in which monitor apparatuses are installed in the respective homes and the audience ratings are measured based on operating rates of the apparatuses. Although it is possible to know the percentage of people who watch a specific program in a specific time zone according to this scheme, it is difficult to examine how viewers react to certain scenes while watching the program. 
       CITATION LIST  
     Patent Literature 
       [0003]    PTL 1: JP-A-2012-14614 
         [0004]    PTL 2: JP-A-2000-156243 
       SUMMARY OF INVENTION  
     Technical Problem 
       [0005]    In relation to a sensitivity marketing method disclosed in PTL 1, a method of understanding a sensitivity pattern of a target demographic by causing the target demographic to select a plurality of contents in relation to a specific keyword is disclosed. However, according to the scheme, the examinees are required to gather at a laboratory and input answers to questions that are displayed on screens. For this reason, it is not possible to obtain answers from many people at the same time. In addition, analysis of the answers requires a long time, which does not match life cycles of product development. Furthermore, since the answers depend on emotions and subjective evaluations of the examinees according to the questionnaire scheme, credibility of aggregate results is low. 
         [0006]    In a multi-channel measurement apparatus disclosed in PTL 2, a scheme of irradiating a test object with light from a plurality of light emitting points and measuring the light, which transmits through the test object, at a plurality of light receiving points is disclosed. However, according to the scheme, the examinee is constrained to being in a laboratory, and it is not possible to measure brain activities in a natural environment. In addition, data that is obtained at the same time includes a lot of overlapping portions, which create a burden on a storage device. 
         [0007]    Thus, an object of the present invention is to provide a sensitivity evaluation system that obtains data from many examinees in substantially normal environments at the same time and reports a result of the analysis. 
         [0008]    Furthermore, an object of the present invention is to provide a method of causing an examinee to wear a headset at an appropriate wearing position by themselves, measuring physical activities, and employing the biomarkers for a sensitivity evaluation. 
       Solution to Problem 
       [0009]    Among the inventions disclosed in this application, outlines of representative inventions will be briefly described as follows. 
         [0010]    According to a sensitivity evaluation system for evaluating distributed video information, a client system transmits an evaluation request related to the video information to an information analysis system and transmits the video information, which is to be viewed by an examinee, to a receiver or the terminal by which each examinee views the video information, the terminal transmits a biosignal, which is measured by the measurement apparatus that the examinee wears while viewing the video information, to a network, and the information analysis system analyzes the biosignal, creates a report related to the video information based on a result of the analysis, and transmits the created report to the client system. 
         [0011]    In addition, the measurement apparatus is provided with a light source that is used for displaying a wearing position of the measurement apparatus to the terminal. 
       Advantageous Effects of Invention 
       [0012]    According to an embodiment of the present invention, it becomes possible to collect a large amount of sensitivity information in substantially normal environments at the same time by causing the measurement apparatus that the examinee wears to measure brain activity data and transmit a plurality of measurement data pieces to the information analysis system via the network. In addition, it becomes possible for the examinee to wear the measurement apparatus at an appropriate position by using a mobile terminal to adjust the position of the measurement apparatus. 
     
    
     
       BRIEF DESCRIPTION OF DRAWINGS 
         [0013]      FIG. 1  is an overall view of a sensitivity evaluation system according to the present invention. 
           [0014]      FIG. 2  is a hardware configuration diagram of an information collecting apparatus according to the present invention. 
           [0015]      FIG. 3  is a hardware configuration diagram of a client system according to the present invention. 
           [0016]      FIG. 4  is a hardware configuration diagram of an information analysis system according to the present invention. 
           [0017]      FIG. 5  is a configuration diagram of a bioinstrumentation system according to the present invention. 
           [0018]      FIG. 6  is a hardware configuration diagram of a mobile terminal according to the present invention. 
           [0019]      FIG. 7  is a diagram illustrating a flow between apparatuses according to the present invention. 
           [0020]      FIG. 8  is a configuration diagram of a measurement apparatus according to the present invention. 
           [0021]      FIG. 9  is a diagram illustrating a flow performed by the mobile terminal according to the present invention. 
           [0022]      FIG. 10  is a diagram illustrating a flow of the mobile terminal according to the present invention. 
           [0023]      FIG. 11  is a diagram illustrating a screen of the mobile terminal according to the present invention. 
           [0024]      FIG. 12  is a diagram illustrating a screen of the mobile terminal according to the present invention. 
           [0025]      FIG. 13  is a diagram illustrating wearing position calculation processing according to the present invention. 
           [0026]      FIG. 14  is a diagram illustrating the wearing position calculation processing according to the present invention. 
           [0027]      FIG. 15  is a diagram illustrating the wearing position calculation processing according to the present invention. 
           [0028]      FIG. 16  is a diagram illustrating the wearing position calculation processing according to the present invention. 
           [0029]      FIG. 17  is a diagram illustrating the wearing position calculation processing according to the present invention. 
           [0030]      FIG. 18  is a diagram illustrating the wearing position calculation processing according to the present invention. 
           [0031]      FIG. 19  is a diagram illustrating processing performed by an information analysis system according to the present invention. 
           [0032]      FIG. 20  is a diagram illustrating processing performed by the information analysis system according to the present invention. 
           [0033]      FIG. 21  is a diagram illustrating processing performed by the information analysis system according to the present invention. 
           [0034]      FIG. 22  is a diagram illustrating processing performed by the information analysis system according to the present invention. 
           [0035]      FIG. 23  is a diagram illustrating processing performed by the information analysis system according to the present invention. 
       
    
    
     DESCRIPTION OF EMBODIMENTS  
       [0036]    Hereinafter, detailed description will be given of embodiments of the present invention with reference to drawings. In all of the drawings for illustrating the embodiments, the same reference numerals are given to the same members, and repeated descriptions thereof will be omitted. 
       First Embodiment 
       [0037]    A basic configuration of a sensitivity evaluation system according to the present invention will be shown in  FIG. 1 . The sensitivity evaluation system is configured of an examinee group  5 , receivers  10   a  to  10   c , biosignal measurement systems  20   a  to  20   c , base stations  30   a  to  30   c , a communication network  40 , an information collecting apparatus  50 , a transmitter  60 , a client system  70 , and an information analysis system  80 . The biosignal measurement system  20  transmits obtained data to the base station  30  in a wireless or wired manner. 
         [0038]    The base station  30  encrypts the obtained data and transmits the data to the information collecting apparatus  50 . The information collecting apparatus  50  is configured of an authentication server  51 , a received data storage database  52 , and an authentication database  53 , functions of which will be described later. 
         [0039]    The information collecting apparatus  50  is connected to an information analysis system  80 . The information analysis system  80  is configured of an automatic data classification unit  81  that automatically classifies obtained data, a statistical processing unit  82  that calculates feature amounts from the classified data, and a report creation unit  83  that summarizes statistically analyzed data in a report. 
         [0040]    The client system  70  is configured of a plurality of clients A, B, and C, and a portion of the clients distribute created advertisements, programs, and the like to the receivers  10   a  to  10   c  via the transmitter  60 . Then, examinees who use the biosignal measurement system  20  can view the advertisements, the programs, and the like through the receivers  10   a  to  10   c . Here, the advertisements, the programs, and the like may be distributed to mobile terminals  160 , which are owned by the examinees, instead of the receivers  10   a  to  10   c.    
         [0041]      FIG. 2  is a hardware configuration diagram of the information collecting apparatus  50 . The information collecting apparatus  50  is configured of an interface  107  that transmits and receives data to and from the base station  30 , an interface  1100  that transmits and receives data to and from the information analysis system  80 , a processor  1080 , a cache  1090 , a memory  1040 , and databases  1050  and  1060 . For example, an authentication processing program  1010  is stored on the memory  1040 , and authentication processing illustrated in  FIG. 7  is performed by the processor  1080  executing the authentication processing program  1010 . 
         [0042]      FIG. 3  illustrates a hardware configuration of the client system  70 . The client system  70  is configured of an interface  1170  that transmits and receives control signals for the transmitter  60 , an interface  1200  that exchanges data with the information collecting apparatus  50 , a processor  1180 , a cache  1190 , a memory  1155 , and a database  1160 . For example, a report collection program  1140  is stored on the memory  1155 , and a process of accumulating reports, which are received from the information analysis system  80 , in the database  1160  is performed by the processor  1180  executing the report collection program  1140 . 
         [0043]      FIG. 4  is a hardware configuration diagram of the information analysis system  80 . The information analysis system  80  is configured of an interface  1260  that transmits and receives data to and from the information collecting apparatus  50 , an interface  1290  that transmits and receives data to and from the client system  70 , a processor  1270 , a cache  1280 , a memory  1240 , and a database  1250 . For example, an automatic data classification program  1210  is stored on the memory  1240 , and classification processing illustrated in  FIG. 19  is performed by the processor  1270  executing the automatic data classification program  1210 . 
         [0044]      FIG. 5  illustrates a configuration of the bioinstrumentation system  20 . The bioinstrumentation system  20  is configured of a measurement apparatus  150  that an examinee  140  wears and a mobile terminal  160  that is used by the examinee  140 . Here, the examinee  140  is selected from arbitrary volunteer groups or groups that are registered in the client system  70 . 
         [0045]    First, the examinee  140  wears the measurement apparatus  150 , which is called a headset, on their head. The measurement apparatus  150  measures variations in a cerebral blood volume and variations in neural activities when the examinee  140  views a designated advertisement or program or when a task that excites the five senses is given thereto. In addition, the mobile terminal  160  is provided with a camera  170  and displays the face of the examinee  140  in real time. On the displayed face, marks a, b, c, and d that indicate positions, to which the measurement apparatus  150  is attached, on the head of the examinee  140  are displayed. A method of determining the marks will be described later. 
         [0046]    Furthermore, the measurement apparatus  150  transmits the obtained measurement data to the mobile terminal  160  in a wireless manner. The measurement data can be displayed on the mobile terminal  160  or saved therein. The mobile terminal  160  transmits the saved measurement data to the base station  30  during or after the experiment. In addition, the mobile terminal  160  can display information in the advertisement, the program, or the like that is transmitted from the transmitter  60 . The examinee  140  evaluates the advertisement, the program, or the like while viewing a screen of the mobile terminal  160 . 
         [0047]      FIG. 6  illustrates a hardware configuration of the mobile terminal  160 . The mobile terminal  160  is configured of a wireless interface  1350  that exchanges data with the measurement apparatus  150 , a wireless interface  1380  that transmits and receives data to and from the base station  30 , a processor  1360 , a cache  1370 , a memory  1330 , and a database  1340  that stores received data. For example, a display program  1300  is stored in the memory  1330 , and processing illustrated in  FIG. 9  is performed by the processor  1360  executing the display program  1300 . As a protocol of the wireless interface  1350 , a wireless LAN, WiFi, UWB, or the like that is defined by IEEE is used. As a protocol of the wireless interface  1380 , a 3G line, LTE, or the like that is used by a mobile phone company is used. The wireless interface  1350  and the wireless interface  1380  have different frequency bands. 
         [0048]      FIG. 7  illustrates a flowchart of the client  70 , the information analysis system  80 , the information collecting apparatus  50 , and the mobile terminal  160 . 
         [0049]    First, the client  70  transmits an examination request message  90   a  to the information analysis system  80 . The examination request message  90   a  includes information related to content of the examination, a scale of the examination, the number of examinees, a desired examination end date, desired budget, and the like. Content that it is desirable to evaluate ride quality of a vehicle is one of examples of the content of the examination. In response to the request, the information analysis system  80  lends the measurement apparatus  150  to the examinee who uses the bioinstrumentation system  20  and owns the mobile terminal  160 . The information analysis system  80  has a list of candidate participants and automatically performs processing of selecting a participant who matches the content of the examination request message and sends the measurement apparatus to the selected examinee. In addition, the information analysis system  80  can perform statistical analysis for individuals by storing correspondence relationships between participant IDs for identifying the examinees or mobile terminal IDs for specifying the mobile terminals and measurement apparatus IDs. In order to understand which of the video signals is to be distributed to which of the examinees, video information IDs are also associated with each other and stored. Such processing is executed by the processor  1270  of the statistical analysis system  80  illustrated in  FIG. 4 . Thereafter, the examinee performs initial setting  100  by using the mobile terminal  160 . The processing of the initial setting  100  by the mobile terminal  160  will be described later with reference to  FIG. 9 . 
         [0050]    Next, at the time of starting the experiment, the information analysis system  80  sends an evaluation request message  90   c  to the mobile terminal  160 . The evaluation request message  90   c  includes, for example, program information and the headset wearing positions. For example, the evaluation request message  90   c  includes a message “The program will start on Channel  1  from 10 am. Please watch the program until 11. At this time, please wear the headset at the position a.” The evaluation request message  90   c  is created by a statistical processing program illustrated in  FIG. 4 . In addition, the evaluation request message  90   c  is sent to a participant group to which the measurement apparatuses have been sent. In a case in which there are a plurality of examination requests, participant groups which match the content of the examination and IDs of the mobile terminals are registered in the database  1250 . Then, for an examination request A, an evaluation request A is sent to a participant group A. In this example, wearing positions of the measurement apparatus  150  are designated by randomly splitting the participant group  5  into four groups (a, b, c, and d). The mobile terminal  160  receives the evaluation request message and then transmits an authentication request message  90   d  to the information collecting apparatus  50 . The information collecting apparatus  50  executes the authentication processing program that is stored on the memory  1040  illustrated in  FIG. 2 , determines that the authentication has successfully been made if the terminal ID included in the authentication request message is included in the authentication database  1060 , and transmits an authentication result ACK 90   e  to the mobile terminal  160 . Thereafter, experiment  120  is started. 
         [0051]    During the experiment, the client  70  may perform distribution  110  of an advertisement or a program in some cases. Such an advertisement or a program is distributed to the receiver  10  or the mobile terminal  160 . 
         [0052]    After completion of the experiment, the mobile terminal  160  transmits measurement data  90   f  to the information collecting apparatus  50  via the base station  30 , and the information collecting apparatus  50  summarizes measurement data, which has been sent from a plurality of base stations  30 , as measurement data  90   g  and transmits the measurement data  90   g  to the information analysis system  80 . The information analysis system  80  performs data analysis  130  and transmits an output report  90   h  to the client  70 . 
         [0053]    Finally, the client  70  sends a billing processing message  90   i  to the information analysis system  80 , and then, the information analysis system  80  sends a billing processing message  90   j , which includes billing information, to the information collecting apparatus  50 . The billing processing message  90   i  is created by a billing processing management program that is stored on the memory  1155  of the client system  70  in  FIG. 3 . The billing processing management program creates the billing information that is determined based on the number of examinees, the amount of obtained data, an amount of time a calculator occupies the CPU (at least one of the processor  1270  in the information analysis system and the processor  1080  in the information collecting apparatus). The billing information may include information for providing payment for contribution to the experiment to the examinee. In addition, the billing information may be created by the information analysis system. 
         [0054]      FIG. 8  illustrates a configuration of the measurement apparatus  150 . The measurement apparatus  150  is configured of a self-position display unit  180  and a measurement circuit unit  190 . The measurement apparatus includes both or one of a near-infrared spectral instrument that irradiates a part of a biological body with light and measures transmitted light and an electroencephalograph that measures electrical signals from a part of a biological body. 
         [0055]    The self-position display unit  180  is configured of a light source such as a light-emitting diode and is used for enabling the mobile terminal  170  to recognize the wearing position when the examinee  140  wears the measurement apparatus  150 . 
         [0056]    The measurement circuit unit  190  is configured of a light source  200  that irradiates the scalp, a detector  210  that detects returning light, an acceleration meter  220 , a sensor control unit  230 , a gain control unit  240 , an A/D conversion unit  250 , a wireless communication unit  190 , a CPU  270 , and a clock  275 . The clock  275  controls operation timing of a digital circuit and provides timestamps for the measurement data. In addition, the measurement circuit unit  190  stores an apparatus ID  280  unique to the measurement apparatus, adds the apparatus ID to the measurement data, and transmits the measurement data. In doing so, interference from a plurality of measurement apparatuses  150  is prevented. The information analysis system illustrated in  FIG. 4  includes a correspondence table of a wearing position of the measurement apparatus that is designated by the evaluation request, the participant ID, and the apparatus ID, and uses the table to classify and analyze data. In the case of measuring electrical signals accompanying activities of neuron cells of the examinee, a differential amplifier, a filter circuit unit, and the like are connected to the CPU  270 . 
         [0057]      FIG. 9  illustrates a flow of performing the initial setting when the mobile terminal  160  is used. First, a display unit of the mobile terminal  160  displays a screen for application registration  29   a . The examinee  140  presses a button displayed on the display unit. The display unit receives the input and then transmits a registration message  350   a  to a processing unit. The processing unit completes the registration and then transmits an end message ACK 350   b  to the display unit. Then, the display unit displays a screen for individual information registration  300 . The examinee  140  presses a button displayed on the display unit and inputs individual information. The display unit receives the input and then transmits a registration message  350   c  to the processing unit. The processing unit completes the individual information registration and then transmits an end message ACK 350   d  to the display unit. 
         [0058]    Then, the display unit displays a screen for measurement apparatus attachment  310 . The examinee  140  wears the measurement apparatus  150  in accordance with instructions on the screen. Subsequently, the display unit displays a screen for face image capturing  320 . The examinee  140  directs their face toward the camera  170 , images their face, and presses a button on the screen. If the image capturing by the camera is performed, then the display unit transmits a calculation request message  350   e , which includes the captured image, to the processing unit. The processing unit executes wearing position calculation  330 . Processing of the wearing position calculation  330  will be described in detail in Examples 2 to 4. 
         [0059]    If the wearing position calculation  330  is completed, then the positions a, b, c, and d are determined on the screen in  FIG. 2 , and the processing unit transmits a response confirmation message ACK 350   f  to the display unit. Then, the display unit displays a screen for wearing position registration  340 . The examinee  140  checks the positions a, b, c, and d displayed on their face and presses a button. The display unit transmits a registration message  350   g  to the processing unit. The processing unit completes the registration and then transmits an end message ACK 350   h  to the display unit. 
         [0060]      FIG. 10  illustrates a flow during an experiment by using the mobile terminal  160 . First, the display unit displays a screen for measurement apparatus attachment  360 . The examinee  140  follows instructions given. Then, the display unit displays a screen for face image capturing  370 . The examinee  140  directs their face toward the camera  170 , captures their face, and presses a button on the screen. The display unit transmits an apparatus position display message  400   a  to the processing unit, and the processing unit transmits a confirmation message ACK 400   b  to the display unit. The display unit displays the positions a, b, c, and d, which have been registered at the time of the initial setting, on the captured face picture. Then, the display unit displays a screen for positional deviation adjustment  380  between the wearing positions and the measurement apparatus  150 . The examinee  140  follows instructions and performs adjustment while viewing the screen of the mobile terminal  160  such that the self-position display unit  180  of the measurement apparatus  150  matches the designated wearing position (a, b, c, or d). The examinee  140  completes the adjustment and then presses a button displayed on the display unit. The display unit transmits a message  400   c , which indicates that the adjustment has successfully been made, to the processing unit. The processing unit transmits a response message ACK 400   d  to the display unit. Thereafter, the examinee  140  starts the experiment in accordance with an instruction for measurement start  390 . In addition, the examinee  140  presses a measurement completion button  395  when the experiment is completed. 
         [0061]      FIGS. 11 and 12  illustrates examples of application screens  410  and  420  that are displayed at the time of the positional deviation adjustment  380  between the headset wearing position and the wearing position of the measurement apparatus  150 .  FIG. 11  illustrates a case in which the wearing position (d)  430  does not coincide with the position (d′)  440  of the measurement apparatus  150 , namely the position of the self-position display unit  180  of the measurement apparatus  150 , and a message that indicates that the positions do not coincide with each other is displayed at a lower portion of the screen. In addition, it is also possible to output an alarm sound while the positions do not coincide with each other. 
         [0062]      FIG. 12  illustrates a case in which the wearing position (d)  430  coincides with the position (d′)  440  of the measurement apparatus  150 , namely the position of the self-position display unit  180  of the measurement apparatus  150 , and the positions overlap on the screen. In addition, a message that indicates that the positions successfully coincide with each other is displayed on the lower portion of the screen. It is also possible to output a buzzer sound when the wearing position (d)  430  coincides with the position (d′)  440  of the measurement apparatus  150 . 
       Second Embodiment  
       [0063]    Another embodiment of the present invention will be shown in  FIGS. 13 and 14 . A case according to this embodiment will next be explained in which the processing of the wearing position calculation  330  that is executed by the processing unit of the mobile terminal  160  illustrated in  FIG. 9  is performed with reference to eyes. 
         [0064]    The captured image  450  in  FIG. 13  is an image of the examinee  140 , which is captured by the camera  170  of the mobile terminal  160 . The processing unit receives the calculation request message  350   e , which includes the captured image, from the display unit and then sets an x coordinate in a direction of connecting both the eyes in the captured image and a y coordinate in a direction of a perpendicular bisector of both the eyes. In addition, a standard model  470  is a standard face that is held inside the mobile terminal  160 , and a coordinate system of an X axis with reference to both the eyes and a Y axis in a direction toward the top of the head from an intermediate point of both the eyes as an origin. The direction of the Y axis toward the top of the head is determined by an acceleration sensor of the mobile terminal  160 . In addition, coordinates of the wearing positions are designated in advance to A(−3, 3), B(0, 5), C(0, 2), and D(3, 3), for example. An application of the mobile terminal  160  performs conversion  460  such that the captured image  450  overlaps with the standard model  470 . As a conversion algorithm, affine conversion, for example, is applicable. In such a case, six parameters of expansion and contraction, rotation, and translation are used along with the x coordinate and the y coordinate. That is, the captured image  450  is made to coincide with the standard model  470  by overlapping the origins of the captured image  450  and the standard model  470  and rotating and expanding or contracting the captured image  450  by using the six parameters. 
         [0065]    Next, the processing unit performs inverse conversion  480  by using the six parameters that are previously obtained, as shown in  FIG. 14 . That is, calculation is performed to obtain a(−2, 2) from A(−3, 3), b(0, 4) from B(0, 5), c(0, 1) from C(0, 2), and d(2, 2) from D(3, 3). In doing so, it is possible to indicate the wearing positions a, b, c, and d of the measurement apparatus  150  on the captured image  490 . 
       Third Embodiment  
       [0066]    Other embodiments of the present invention will be shown in  FIGS. 15 ,  16 , and  17 . In an embodiment, a case will be described in which the processing of the wearing position calculation  330  that is executed by the processing unit of the mobile terminal  160  illustrated in  FIG. 9  is performed with reference to an outline of the face. 
         [0067]      FIG. 15  illustrates an example thereof, and first, the examinee  140  wears light sources such as light-emitting diodes  510  and  520  on right and left earlobes. An image  500  captured at this time corresponds to the left diagram in  FIG. 15 . The processing unit performs overlapping  530  of the coordinate axes. First, the processing unit recognizes the positions of the light-emitting diodes  510  and  520  from the captured image  500 , sets an x axis by connecting the positions of the right and left light-emitting diodes  510  and  520 , and sets a y axis in a perpendicular direction from the intermediate point between the light-emitting diode  510  and the light-emitting diode  520  as an origin  560 . Next, the position of the light-emitting diode  520  is set to a coordinate (p)  570 . In addition, the coordinate (q)  580  in the y-axis direction is obtained by using ellipse approximation  550 . That is, calculation is performed so as to satisfy the coordinate (q)  580 =the coordinate (p)  570 ×a coefficient. Here, the range of the coefficient is from 1 to 2, and the coefficient is determined such that the result of the ellipse approximation  550  corresponds to a distance that is exactly equal to an outer periphery of the head in the captured image  540 . Since the coordinate (p)  570  and the coordinate (q)  580  are set here, the coordinates of a, b, c, and d are set to a (−p/3, q/2), b (0, 4q1 5 ), c (0, 2q/ 5 ), and d(p/3, q/2) , for example. 
         [0068]      FIG. 16  illustrates another example, and first, the examinee  140  wears a measurement apparatus  590  which is provided with light sources such as light-emitting diodes  600 ,  610 , and  620  at the positions of right and left ears and the top of the head. An image  500  captured at this time corresponds to the left diagram in  FIG. 16 . The processing unit performs overlapping  530  of the coordinate axes. First, the processing unit sets the x axis by connecting the positions of the right and left light-emitting diodes  600  and  620  and sets the y axis in a perpendicular direction from the intermediate point between the light-emitting diode  600  and the light-emitting diode  620  as an origin  560 . Then, the position of the light-emitting diode  620  is set to the coordinate (p)  570 . In addition, the position of the light-emitting diode  610  is set to the coordinate (q)  580 . Since the coordinate (p)  570  and the coordinate (q)  580  are set here, the coordinates of a, b, c, and d are set to a(−p/3, q/2),b(0, 4q/5), c(0, 2q/5),and d (p/3, q/2), for example. Since the coordinates of a, b, c, and d are set on the captured image  540  as described above, the examinee  140  performs the initial setting and the experiment in accordance with the flows in  FIGS. 9 and 10 . 
         [0069]      FIG. 17  illustrates a method of determining a position of the headset with reference to the positions of the light-emitting diodes  600 ,  610 , and  620  in  FIG. 16 . This method is based on the ten-twenty electrode system of the international federation that is employed for brain wave measurement. First, the processing unit sets the position of the light-emitting diode  600  to A2 (−p, 0), the position of the light-emitting diode  620  to A1 (p, 0), and the position of the light-emitting diode  610  to Cz (0, q). In addition, the intermediate point between A1 and A2 to an origin S(0, 0). Furthermore, the center of both the eyes is set to N(0, 1), for example. Next, points that equally split the distance from N to Cz into five sections are calculated, the point corresponding to 1/5 from the side of N is set to Fpz, and the point corresponding to 3/5 is set to Fz. In addition, points that equally split the distance from A1 to Cz along the scalp into five sections are calculated, and the point corresponding to 1/5 from A1 is set to T3. Similarly, the point corresponding to 1/5 from A2 is set to T4. Next, points that equally split the distance from Fpz to T3 into five sections are calculated, and the point corresponding to 2/5 from T3 is set to F7. Similarly, the point corresponding to 2/5 from T4 is set to F8. Thereafter, the intermediate point between Fz and F7 is set to F3, and the intermediate point between Fz and F8 is set to F4. Finally, the coordinates of F4 are set to a, the coordinates of Fz are set to b, the coordinates of Fpz are set to c, and the coordinates of F3 are set to d. Although the intermediate point between Fz and F7 is set to d in the aforementioned example, it is also possible to set the intermediate point between Fz and T3 to d. 
       Fourth Embodiment  
       [0070]    Another embodiment of the present invention will be shown in  FIG. 18 . In this embodiment, a case will be described in which the processing of the wearing position calculation  330  that is executed by the processing unit illustrated in  FIG. 9  is performed by using face recognition. The examinee  140  captures an image of their face by using the camera  170  of the mobile terminal  160 , the mobile terminal  160  transmits the captured image to the base station  30 , and the base station  30  transmits the captured image to the information collecting apparatus  50  via the communication network  40 . 
         [0071]    The information collecting apparatus  50  holds a database  670 , and many face pictures on which the x coordinate, the y coordinate, and the positions of a, b, c, and d are overlapped are registered in the database  670 . The information collecting apparatus  50  calculates similarity from the positions of eyes and noses in the received captured image and the face pictures registered in the database  670 , and transmits an image with the highest similarity to the mobile terminal  160 . In doing so, it is possible to display the wearing position on the screen of the mobile terminal  160 . For the calculation of similarity, a pattern matching method such as template matching or a correlation method is applied. 
       Fifth Embodiment  
       [0072]    Another embodiment of the present invention will be shown in  FIGS. 19 ,  20 ,  21 , and  22 . In this example, details of a process performed by the information analysis system  80  in  FIG. 1  will be described. 
         [0073]      FIG. 19  illustrates processing by the automatic data classification unit  81 . The automatic data classification unit  81  receives a data group  680 , which includes measurement data obtained by a plurality of measurement apparatuses  150  during the experiment, from the information collecting apparatus  50 . A label that indicates a wearing position (a, b, c, or d) is added to the measurement data, and the measurement data is arranged in an order of acquisition. The automatic data classification unit  81  creates a data group  690  by classifying and grouping the measurement data based on labels as shown in the right section in  FIG. 19 . 
         [0074]      FIG. 20  illustrates processing by the statistical processing unit  82 . First, the statistical processing unit  82  creates a graph by overlapping the measurement data, which is acquired by the respective measurement apparatuses  150 , at each wearing position (label) as illustrated in the left section in  FIG. 20 . At this time, an abnormal value is excluded. Then, a moving average of the overlapped measurement data is calculated, and a characteristic group pattern  700  is extracted at each wearing position as illustrated in the right section in  FIG. 20 . In  FIG. 20 , graphs correspond to waveforms at the wearing positions a, b, c, and d in an order from the upper side. For example, the right upper diagram in  FIG. 20  illustrates a representative waveform at the wearing position a. However, the cerebral blood volume gradually increases after starting to view the advertisement or the program, and it is possible to understand that attention is continuously paid. 
         [0075]      FIG. 21  illustrates other processing by the statistical processing unit  82 . In this embodiment, the statistical processing unit  82  calculates intensity at each wearing position from the representative waveforms in the right section in  FIG. 20 , and a histogram is created. Here, the intensity is calculated from areas of the waveforms, peak values, peak positions, and the like. Since the respective positions correspond to a case in which a reaction occurs with respect to a language or a case in which a reaction occurs with respect to non-language, it is possible to obtain a reaction pattern  800  when an advertisement is viewed. In this example, it is possible to understand that strong reactions occur at the positions a and c as illustrated in the right drawing in  FIG. 15 . 
         [0076]      FIG. 22  illustrates processing by the report creation unit  83 . The report creation unit  83  inputs the group pattern  700  and the reaction pattern  800  to a semantic analysis engine  900 . The semantic analysis engine  900  refers to a knowledge database  950  that is stored on the DB  1250  and outputs an analysis result  960  at the time of viewing the advertisement or the program from information on the shape of the waveform and responsive parts. In the knowledge database  950 , a plurality of group patterns in a case in which the measurement apparatus is placed at the position a, a plurality of group patterns in a case in which the measurement apparatus is placed at the position b, a plurality of group patterns in a case in which the measurement apparatus is placed at the position c, and a plurality of group patterns in a case in which the measurement apparatus is placed at the position d are accumulated. The semantic analysis engine  900  identifies the wearing position of the measurement apparatus from the reaction pattern  800  and calculates similarity by comparison between the group pattern  700  at the wearing position and data on a plurality of group patterns at the identified wearing position from among the group patterns that are accumulated in the knowledge database  950 . The similarity is compared by using intensity of reactions or intervals of reactions, for example. Since the reaction at the wearing position a is strong in this example as illustrated in  FIG. 21 , for example, the report creation unit  83  refers to the knowledge database  950  and calculates similarity between the plurality of group patterns at the wearing position a that is stored on the knowledge database and the measurement data. Since the report creation unit  83  can know, from the calculated similarity, that the group pattern at the wearing position a that is obtained from the measurement data has high similarity with a group pattern in a case in which attention has been gradually continued and a degree of interest has increased, from among the plurality of group patterns at the wearing position a which is stored on the knowledge database, it is considered that when the examinee views the advertisement, the examinee gradually continues attention and the degree of interest increases during the advertisement. 
         [0077]      FIG. 23  illustrates an example of processing by the semantic analysis engine  900 . A video pattern is configured of scenes  1 ,  2 , and  3 , and timestamps a 1 , a 2 , and a 3  are added thereto, respectively. The timestamps are recorded in the video signal that the transmitter  60  in  FIG. 1  transmits to the receiver  10  or the mobile terminal. The information analysis system receives information on the scenes, the timestamps, and the like of the video signal by some method such as a method of receiving the video signal from the transmitter  60  or a method of acquiring information on the video signal from the client system. In addition, the characteristic group pattern  700  (the group pattern obtained by the analysis in  FIG. 20 ) at a specific wearing point, which is obtained by the statistical processing unit  82 , is configured of three increasing lines A, B, and C, and timestamps b 1 , b 2 , and b 3  are added thereto, respectively. The timestamps are added to the measurement data by the clock  275  of the measurement apparatus  150  in  FIG. 8 . 
         [0078]    If time counting of the timestamps a 1 , a 2 , and a 3  of the image signal differs from time counting of the timestamps b 1 , b 2 , and b 3  of the group pattern of the measurement data for the examinee who views the video signal, the semantic analysis engine  900  performs scaling of the time axis, forms a time axis so as to satisfy a 1 =b 1 , a 2 =b 2 , and a 3 =b 3 , and creates the synthesized diagram illustrated in the lower section in  FIG. 23 . It is possible to understand from the synthesized diagram that the signal intensity A, B, and C of the group pattern becomes high so as to correspond to the scenes  1 ,  2 , and  3  and the intensity decreases between the scenes. If the content of the scene  2  of the video signal corresponds to an advertisement in which a specific actress is employed, for example, it is possible to determine that the examinee is highly interested in the scene  2  corresponding to the advertisement in which the specific actress is employed. The report creation unit collects such results of analysis for each advertisement, creates a report of evaluation about what kind of content is to be collected to create an advertisement in order to most effectively cause reactions of viewers, and transmits the report to the client system. Then, the created report is transmitted to the client  70  as illustrated in  FIGS. 1 and 7 , and a series of process for the sensitivity evaluation is completed. 
       REFERENCE SIGNS LIST 
       [0000]    
       
           5 : examinee group 
           10 : receiver 
           20 : bioinstrumentation system 
           30 : base station 
           40 : communication network 
           50 : information collecting apparatus 
           60 : transmitter 
           51 : server 
           52 ,  53 ,  1050 ,  1060 ,  1160 ,  1250 ,  1340 : database 
           71 ,  72 ,  73 : client 
           80 : client system 
           81 ,  82 ,  83 ,  230 ,  240 ,  250 ,  260 : functional block 
           140 : examinee 
           150 : measurement apparatus 
           160 : mobile terminal 
           170 : camera 
           90 ,  350 ,  400 : message 
           275 : clock 
           100 ,  110 ,  120 ,  130 ,  290 ,  300 ,  310 ,  320 ,  330 ,  340 ,  360 ,  370 ,  380 ,  390 ,  395 : processing block 
           180 : self-position display unit 
           190 : measurement circuit unit 
           200 ,  210 ,  220 ,  270 : device 
           280 : apparatus ID 
           410 ,  420 : application screen 
           450 ,  490 ,  500 ,  540 : captured image 
           460 ,  480 ,  530 ,  550 : processing 
           470 : standard model 
           560 ,  570 ,  580 ,  630 ,  640 ,  650 ,  660 : coordinate 
           510 ,  520 ,  600 ,  610 ,  620 : light source 
           590 : headphone 
           670 ,  950 : database 
           680 ,  690 : data group 
           700 : group pattern 
           800 : reaction pattern 
           900 : semantic analysis engine 
           960 : report output image 
           1040 ,  1155 ,  1240 ,  1330 : memory 
           1010 ,  1020 ,  1030 ,  1110 ,  1120 ,  1130 ,  1140 ,  1150 ,  1210 ,  1220 ,  1230 ,  1300 ,  1310 ,  1320 : program 
           1070 ,  1100 ,  1170 ,  1200 ,  1260 ,  1290 ,  1350 ,  1380 : interface IF 
           1080 ,  1180 ,  1270 ,  1360 : processor 
           1090 ,  1190 ,  1280 ,  1370 : cache