Patent ID: 12239590

MODES FOR CARRYING OUT THE DISCLOSURE

Hereinafter, desirable embodiments are described with reference to the drawings. Note that, below, the same reference characters are assigned to the same or corresponding elements throughout the drawings to omit redundant explanation. Further, the drawings illustrate each component schematically for easier understandings.

First Embodiment

FIG.1is a view of a nursing bed system1according to a first embodiment of the present disclosure. As illustrated inFIG.1, the nursing bed system1includes a nursing bed2, and a nursing bed posture changing device (hereinafter, may simply be referred to as “the posture changing device”).

The nursing bed2is provided with three joints so that the shape of a floor of the bed, and/or the posture related to the angle of the entire bed are changeable. The floor of the nursing bed2is formed in a flat plate shape. The floor of the nursing bed2is divided in the longitudinal direction into an upper body area, a waist area, and a leg area. The floor (waist area) of the nursing bed2is supported by a base part attached at a tip end of a robotic arm21. Further, the base end of the robotic arm21is fixed to a floor of a care room B. The robotic arm21has one joint (first joint J1), and the angle of the entire bed is changed by being driven by a motor which is established in the first joint J1. Two joints (second joint J2, third joint J3) are provided to the floor of the nursing bed2. The second joint J2is provided to a connecting part between the upper body area and the waist area. By being driven by a motor established in the second joint J2, the angle of the upper body area with respect to the waist area (elevation angle) is changed. The third joint J3is provided to a connecting part between the waist area and the leg area. By being driven by a motor established in the third joint J3, the angle of the leg area with respect to the waist area (elevation angle) is changed. Therefore, the shape of the floor of the nursing bed2can be changed. Note that, although the change in the shape of the floor of the nursing bed2is made by the drive of the motors established in the joints J2and J3provided to the floor of the nursing bed2, the joints J2and J3may be configured to be external shafts of the robotic arm21.

A microphone3and a camera4are installed in the ceiling of the care room B. The microphone3acquires voice of a care recipient. The camera4images a situation of the care recipient. The microphone3and the camera4are communicatably connected to the posture changing device10, and the voice data of the microphone3and the image data of the camera4are inputted into the posture changing device10.

FIG.2is a functional block diagram schematically illustrating a configuration of the posture changing device10. As illustrated inFIG.2, the posture changing device10includes care recipient data acquiring circuitry11, bed posture information generating circuitry22(the bed posture information generating circuitry22includes care recipient demand feature quantity extracting circuitry12, a memory13, and generating circuitry19), posture changing circuitry14, operational information acquiring circuitry15, and bed posture mode information updating circuitry16. The posture changing device is a robot controller provided with a computer, such as a microcontroller, for example. The memory13stores information on a basic program as a robot controller, various fixed data, etc. By an arithmetic unit executing software, such as the basic program stored in the memory13, each part of the posture changing device10is operated.

The care recipient data acquiring circuitry11acquires care recipient data. The care recipient data includes at least one of voice data of the care recipient who lies on the nursing bed2, the image data obtained by imaging the care recipient, and the time data. In this embodiment, the care recipient data acquiring circuitry11acquires the voice data of the microphone3and the time data.

The care recipient demand feature quantity extracting circuitry12extracts a demand feature quantity by which a care recipient's demand is characterized, based on at least one of the care recipient's voice data, the care recipient's image data, and the time data acquired by the care recipient data acquiring circuitry11. In this embodiment, the care recipient demand feature quantity extracting circuitry12extracts a demand feature quantity by which a care recipient's demand by an utterance “Get me up” is characterized, based on the care recipient's voice data and the time data which are acquired by the care recipient data acquiring circuitry11.

The memory13stores beforehand bed posture mode information for identifying the posture of the nursing bed2associated with a specific demand from the care recipient. In this embodiment, the memory13stores bed posture mode information on the nursing bed2associated with the specific demand by the care recipient's utterance “Get me up.” Here, the bed posture mode information is information on the joint angles (rotational positions) of the three joints J1-J3of the nursing bed2. For example, the bed posture mode information is information on the angles of the first joint J1and the third joint J3being maintained at 0°, and the angle of the second joint J2being rotated 30° in the clockwise direction.

The generating circuitry19reads, from the memory13, the bed posture mode information associated with the specific demand which matches with the care recipient's demand extracted by the care recipient demand feature quantity extracting circuitry12, and uses it as the bed posture mode information generated by the bed posture information generating circuitry22. The posture changing circuitry14changes the posture of the nursing bed2based on the generated bed posture mode information. In this embodiment, based on the bed posture mode information on the nursing bed2associated with the specific demand by the care recipient's utterance “Get me up,” driving commands of the motors of the joints J1-J3are generated to change the posture of the nursing bed2.

The operational information acquiring circuitry15acquires operational information operated by a care worker. In this embodiment, a remote controller for user interface (not illustrated) installed by the nursing bed2is communicatably connected to the posture changing device10wirelessly or wiredly, and the operational information on the remote controller for user interface is inputted into the posture changing device10(operational information acquiring circuitry15).

The bed posture mode information updating circuitry16updates the contents of the bed posture mode information stored in the memory13according to the operational information acquired by the operational information acquiring circuitry15. For example, the bed posture mode information updating circuitry16updates the contents of the bed posture mode information among the bed posture mode information on the nursing bed2associated with the specific demand by the care recipient's utterance “Get me up” according to the operational information acquired by the operational information acquiring circuitry15so that a rotational amount of the angle of the second joint J2is incremented by 1°.

FIG.3is a view illustrating one example of a nursing home100to which the nursing bed system1ofFIG.1is applied. As illustrated inFIG.3, the nursing home100includes a management office A and a plurality of care rooms B. Note that the nursing bed system1described above is applied to each care room B. A managing device101and a speaker102are installed in the management office A. The managing device101is connected to the camera4(seeFIG.1) of each care room B so that the situation of the care recipient in the care room B is projected on a monitor of the managing device101. The managing device101is a personal computer, for example. The speaker102of the management office A is connected to the microphone3(seeFIG.1) of each care room B so that an administrator in the management office A is able to have a conversation with the care recipient in the care room B.

Next, operation of the nursing bed system1of this embodiment is described. First, when the care recipient (bed user) in the care room B says “Get me up,” the posture of the nursing bed2is changed so that the care recipient can rise his/her upper body in a comfortable posture.

When the care recipient is not satisfied with the shape of the floor of the nursing bed2, or the angle of the bed, he/she contacts the administrator in the management office A. The administrator who received the complaint comes into the care room B and operates the remote controller for user interface to change the shape of the floor and the angle of the bed to the care recipient's favorite shape and angle. The administrator may change the posture of the nursing bed2by remote control from the management office A. The nursing bed system1updates the bed posture mode information in the memory13, and whenever the care recipient says “Get me up” thereafter, the updated posture of the nursing bed2will be reproduced.

As described above, the nursing bed system1of this embodiment includes the nursing bed2configured to be changeable of the shape of the floor of the bed, and/or the posture related to the angle of the entire bed, the care recipient data acquiring circuitry11which acquires at least one of the voice data of the care recipient who lies on the nursing bed2, the image data obtained by imaging the care recipient, and the time data, the care recipient demand feature quantity extracting circuitry12which extracts the demand feature quantity by which the care recipient's demand is characterized based on at least one of the care recipient's voice data, the care recipient's image data, and the time data acquired by the care recipient data acquiring circuitry11, the memory13which stores beforehand the bed posture mode information for identifying the posture of the nursing bed2associated with the specific care recipient's demand, the posture changing circuitry14which changes the posture of the nursing bed2based on the bed posture mode information associated with the specific demand which matches with the care recipient's demand extracted by the care recipient demand feature quantity extracting circuitry12, the operational information acquiring circuitry15which acquires the operational information operated by the care worker, and the bed posture mode information updating circuitry16which updates the bed posture mode information according to the operational information acquired by the operational information acquiring circuitry15.

According to the nursing bed system1of this embodiment, if the care worker once adjusts the posture of the nursing bed2to become suitable for the care recipient, since the care worker will never need to perform the adjustment again, the care worker's burden can be eased.

Note that, although in this embodiment the care recipient's demand is the verbal demand, it may be a demand by gesture. In that case, in the posture changing device10ofFIG.2, the care recipient data acquiring circuitry11acquires the image data of the camera4. Further, the care recipient demand feature quantity extracting circuitry12extracts the demand feature quantity by which a demand by a gesture of “Trying to rise the upper body” is characterized, from the care recipient's image data based on the care recipient's image data acquired by the care recipient data acquiring circuitry11. The memory13stores the bed posture mode information on the nursing bed2associated with the specific demand by the gesture “Trying to rise the upper body” of the care recipient.

Note that the demand by the gesture is not limited to a demand which is consciously performed by the care recipient, but it may be a demand which is unconsciously performed by the care recipient, for example, like a body motion during sleep. For example, when the care recipient rises a knee during sleep, the floor of the nursing bed2may be deformed so that the care recipient's legs are lifted.

Although in this embodiment one managing device101is connected with the plurality of nursing bed systems1, a plurality of management offices A may be provided to the nursing home100and a plurality of managing devices101may be connected with the plurality of nursing bed systems1.

Further, the posture changing device10may be provided with an alarm function which changes the angle of the floor of the nursing bed2to raise the care recipient's upper body in response to an utterance demand of the care recipient who says “Wake me up” at a given time (for example, 7 o'clock in the morning).

Second Embodiment

Next, a nursing bed system1according to a second embodiment of the present disclosure is described.FIG.4is a functional block diagram schematically illustrating a configuration of a posture changing device10B of the nursing bed2according to the second embodiment. The nursing bed system1according to the second embodiment includes the nursing bed2and the posture changing device10B. Since the configuration of the nursing bed2according to the second embodiment is similar to the configuration of the first embodiment (seeFIG.1), explanation thereof is omitted.

As illustrated inFIG.4, the posture changing device10B includes the care recipient data acquiring circuitry11, the bed posture information generating circuitry22, the memory13, the posture changing circuitry14, the operational information acquiring circuitry15, and the bed posture mode information updating circuitry16. The bed posture information generating circuitry22includes the care recipient demand feature quantity extracting circuitry12, a demand identifying circuitry18, and the generating circuitry19. The posture changing device10B is a robot controller provided with a computer, such as a microcontroller, for example. The memory13stores information on the basic program as the robot controller, various fixed data, etc. By an arithmetic unit executing the software, such as the basic program stored in the memory13, operation of each function part of the posture changing device10B is performed.

The care recipient data acquiring circuitry11acquires at least one of the voice data of the care recipient who lies on the nursing bed2, and the image data obtained by imaging the care recipient. The voice data is comprised of sound measured by the microphone3. The image data is comprised of image captured by the camera4. The care recipient data acquiring circuitry11may be configured to acquire, in addition to the voice data and image data, time data indicative of the time when the data are generated.

The care recipient demand feature quantity extracting circuitry12extracts the demand feature quantity by which the care recipient's demand is characterized based on at least one of the voice data and the image data acquired by the care recipient data acquiring circuitry11. For example, the voice data acquired by the microphone3is comprised of sounds which are put in the time-series order. The care recipient demand feature quantity extracting circuitry12extracts the care recipient's voice by removing noise such as machinery sound from the voice data, and the extracted voice is converted into text or a signal by using a speech recognition technology to become the demand feature quantity. Further, for example, a part or all of the care recipient's body is projected on the image data acquired by the camera4. The care recipient demand feature quantity extracting circuitry12extracts, from this image data, the demand feature quantity for deriving the care recipient's demand from the care recipient's gesture (motion). The demand feature quantity in this case may be information indicative of the overall or partial motion and its amount of the care recipient's body, such as a moving amount of the care recipient's hand, a moving amount of the leg, a moving amount of the head, and the motion of the mouth or the eyes, for example.

The demand identifying circuitry18acquires the demand feature quantity generated by the care recipient demand feature quantity extracting circuitry12, and identifies (estimates) the care recipient's demand based on the demand feature quantity. The voice uttered by the care recipient may not be a perfect language, such as “Ah” or “Oh,” or may be only a word. Moreover, the voice uttered by the care recipient may be a foreign language or a dialect. The care recipient's gesture is peculiar to the care recipient, and may be different for different care recipients. The demand identifying circuitry18identifies the care recipient's demand from the demand feature quantity based on a specific rule stored beforehand. The specific rule is information for associating the demand feature quantity with the care recipient's demand. The specific rule may be created for every care recipient. Upon identifying the care recipient's demand based on the demand feature quantity, the demand identifying circuitry18may additionally use the time data which is obtained when the demand feature quantity is generated. That is, the demand identifying circuitry18can identify (estimate) the care recipient's demand based on a combination of the demand feature quantity and the time data. By combining the demand feature quantity and the time data, it can more accurately identify the care recipient's demand.

The memory13stores a plurality of kinds of demands of the care recipient, and bed posture mode information which is associated with each of the plurality of kinds of demands. The bed posture mode information is information for identifying the posture of the nursing bed2. Here, since the posture of the nursing bed2is defined by the angles of the three joints J-J3, the bed posture mode information is information on the angles of the three joints J1-J3of the nursing bed2. For example, the memory13stores the bed posture mode information on the nursing bed2associated with the care recipient's demand “Get me up.”

The generating circuitry19reads, from the memory13, the bed posture mode information associated with the specific demand which matches with the care recipient's demand extracted by the care recipient demand feature quantity extracting circuitry12, and uses it as the bed posture mode information generated by the bed posture information generating circuitry22.

The posture changing circuitry14changes the posture of the nursing bed2based on the generated bed posture mode information. For example, based on the bed posture mode information on the nursing bed2associated with the care recipient's demand “Get me up,” the posture changing circuitry14generates the driving command of the motors of the joints J1-J3, and changes the posture of the nursing bed2.

The care recipient contacts the administrator in the management office A, if he/she is neither satisfied with the shape of the floor of the nursing bed2, nor the angle of the bed. The administrator who received the complaint operates the remote controller for user interface in the care room B or in the management office A to change the shape of the floor and the angle of the bed as the care recipient prefers. The command is inputted into the posture changing device10via the remote controller for user interface, and the posture of the nursing bed2is adjusted. The nursing bed system1acquires a state, such as the posture of the nursing bed2, which is updated by the care worker, and updates the bed posture mode information stored in the memory13corresponding to the specified demand described above. The state, such as the posture of the nursing bed2, can be identified based on the rotational positions of the joints J1-J3, the information captured by the camera4, etc. Thus, by sequentially updating the bed posture mode information, the updated posture of the nursing bed2is reproduced when a similar demand is issued next. Therefore, the posture of the nursing bed2can be changed not only according to the care recipient's preference but also according to the change in the care recipient's body state.

Third Embodiment

Next, a posture changing device10A of the nursing bed2of a third embodiment of the present disclosure is described with reference to a block diagram ofFIG.5. Note that, since a configuration of the nursing bed2is similar to the configuration (seeFIG.1) of the first embodiment, explanation thereof is omitted. As illustrated inFIG.5, the posture changing device10A includes the care recipient data acquiring circuitry11, the bed posture information generating circuitry22which is mainly comprised of a machine learning classifying circuitry17, and the posture changing circuitry14. Since the care recipient data acquiring circuitry11and the posture changing circuitry14of the posture changing device10A have the same or similar configuration as/to those of the posture changing device10of the first embodiment, explanation thereof is omitted. The posture changing device10A differs from the posture changing device10ofFIG.1in that it is mainly provided with the machine learning classifying circuitry17instead of the memory13, the operational information acquiring circuitry15, and the bed posture mode information updating circuitry16.

The machine learning classifying circuitry17is established with a plurality of teaching data in which the demand feature quantity for learning by which the care recipient data or the care recipient's demand is characterized is associated with the bed posture mode information for identifying the posture of the nursing bed2(the bed posture mode information as a correct answer). The machine learning classifying circuitry17is generated by a machine learning device30having an AI function as illustrated in a block diagram ofFIG.6. The machine learning device30includes teaching data acquiring circuitry31which acquires a plurality of teaching data, machine learning circuitry32which establishes a classifying circuitry of the machine learning by using the teaching data, and machine learning classifying circuitry outputting circuitry (classifying circuitry information outputting circuitry)33which outputs the information on the established machine learning classifying circuitry17.

The care recipient data acquired by the care recipient data acquiring circuitry11or its processed data is inputted into the machine learning classifying circuitry17, and the bed posture mode information is outputted from the machine learning classifying circuitry17. The processed data of the care recipient data includes the demand feature quantity generated based on at least one of the care recipient's voice data and the care recipient's image data (refer to the explanation of the first embodiment and the second embodiment). The posture changing circuitry14changes the posture of the nursing bed2based on the bed posture mode information outputted from the machine learning classifying circuitry17.

First, the care worker (person) changes the shape and the angle of the bed according to the care recipient's demand and time. Although the care recipient's demand is the demand by the care recipient's utterance, it may be the demand by the care recipient's gesture, for example. The care worker recognizes the care recipient's demand and the time at that time, and then adjusts the shape and the angle of the bed so that the care recipient becomes in a comfortable posture.

The care recipient's demand is converted into numerical data (demand data). Time at that time is also converted into numerical data (time data). The adjustment performed by the care worker according to the care recipient's demand data and the time data is also converted into numerical data (adjustment data). The care recipient's utterance can be acquired by the microphone3, and can be converted into the voice data. If the level of the sound inputted into the microphone3exceeds a threshold, voice data is then acquired from this timing for a fixed period of time (for example, 2 seconds), and it is converted into the voice data for learning. Further, the care recipient's gesture may be imaged by the camera4, and may be converted into the image data. If a change per time in the image captured by the camera4exceeds a threshold, it is considered to be a demand by gesture, and the image data is then acquired from this timing for a fixed period of time (for example, 3 seconds), and it is converted into the image data for learning. The angle data of the joint J1of the robotic arm21, and the angle data of the joints J2and J3of the floor of the bed, which are adjusted by the care worker, can be used as adjustment data for learning. By recording raw data set including the time, the demand from the care recipient, and the adjustment of the bed for every specific demand (adjustment by the care worker), over a long period of time, teaching data for learning of the machine learning (multi-class classification) in which the time data, the demand data, and the adjustment data corresponding to these data are grouped can be created. The teaching data may be data obtained by preprocessing the raw data set.

The machine learning device30acquires a large number of teaching data for learning by the teaching data acquiring circuitry31, and carries out the machine learning by the machine learning circuitry32. Each of the large number of teaching data includes a combination of input data containing the care recipient data (or its processed data) and output data containing the bed posture mode information according to the care recipient's demand, which is associated with the input data. The input data as the teaching data is generated from the time data and the demand data described above. The output data as the teaching data is generated from the adjustment data described above. The machine learning circuitry32identifies the feature which suggests the correlation between the input data and the output data based on the teaching data by using the given learning algorithm to learn a correlation model for estimating output data necessary for new input data. This correlation model becomes the learned model. The machine learning classifying circuitry outputting circuitry33outputs the thus-obtained learned model to the machine learning classifying circuitry17. The machine learning classifying circuitry17derives the bed posture mode information as the output data from the care recipient data (or its processed data) as the input data by using the learned model, and outputs what kind of adjustment should be made according to the care recipient's demand to the posture changing circuitry14. The posture changing circuitry14changes the joint angle of the floor and the joint angle of the robotic arm21according to the output.

If the adjustment (bed posture mode information) derived by the machine learning classifying circuitry17is satisfactory for the care recipient, the care recipient does not need to notify the administrator. The image data etc. at that time and the output value of the machine learning classifying circuitry17are saved as the next teaching data for learning. On the other hand, if the adjustment made by the machine learning classifying circuitry17is not satisfactory for the care recipient, the care recipient notifies the administrator. Then, the administrator corrects the bed to the correct shape and angle. Then, a set of the image data etc. at that time and the corrected data of the shape and the angle are saved as the next teaching data for learning.

Thus, when a set or a plurality of sets of new teaching data for learning are saved, a new data set for learning to which the teaching data are added is created, and the machine learning using the new data set is performed.

As described above, the nursing bed posture changing device10A according to this embodiment includes the care recipient data acquiring circuitry11which acquires at least one of the care recipient's voice data, the care recipient's image data, and the time data, which are generated by measuring the care recipient's voice or image, and the posture changing circuitry14which inputs the care recipient demand feature quantity generated based on at least one of the care worker's voice data, the care recipient's image data, and the time data, which are acquired, to the classifying circuitry17of the machine learning which is established with a plurality of teaching data in which the care recipient demand feature quantity for learning by which the care recipient's demand is characterized is associated with the bed posture mode information for identifying the posture of the nursing bed2which is the bed posture mode information as a correct answer corresponding to the care recipient demand feature quantity, and changes the posture of the nursing bed2based on the outputted bed posture mode information. The machine learning device30which generates the information on the classifying circuitry17used in the nursing bed posture changing device10A includes the teaching data acquiring circuitry31which acquires a plurality of teaching data in which the care recipient demand feature quantity for learning is associated with the bed posture mode information as a correct answer corresponding to the care recipient demand feature quantity, and the machine learning circuitry32which establishes the classifying circuitry17of the machine learning with the teaching data, and the classifying circuitry information outputting circuitry (machine learning classifying circuitry outputting circuitry33) which outputs the information on the established classifying circuitry17.

According to this embodiment, actual nursing is performed using the machine learning classifying circuitry17which becomes “learned” after it once learned. While changing and correcting the posture of the bed, the posture change data (including the corrected data) of the bed is also saved as the new correct answer data for the next machine learning. It is added to the data set for the machine learning used for the previous machine learning, and a further machine learning can be carried out to strengthen the performance of the machine learning classifying circuitry17.

SUMMARY

As described above, the nursing bed system1according to the first to third embodiments is provided with the nursing bed2configured to be changeable of the shape of the floor of the bed, and/or the posture related to the angle of the entire bed, and the nursing bed posture changing device10,10A, or10B. The nursing bed system1may be further provided with at least one of the microphone3which generates the voice data and the camera4which generates the image data.

The nursing bed posture changing device10,10A, or10B of the nursing bed system1according to the first to third embodiments is the device which changes the posture of the nursing bed2configured to be changeable of the shape of the floor of the bed, and/or the posture related to the angle of the entire bed. The device includes the care recipient data acquiring circuitry11which acquires the care recipient data containing at least one of the voice data of the care recipient who lies on the nursing bed2, and the image data obtained by imaging the care recipient, the bed posture information generating circuitry22which generates the bed posture mode information according to the care recipient's demand based on the care recipient data, and the posture changing circuitry14which changes the posture of the nursing bed2based on the bed posture mode information.

According to the nursing bed system1and the nursing bed posture changing devices10,10A, and10B, which have the configurations described above, the bed posture mode information according to the care recipient's demand is generated based on the demand (or its sign) issued by the care recipient, and the nursing bed2is operated based on the bed posture mode information. Therefore, the bed moves automatically corresponding to the care recipient's demand, and the care recipient's posture may be changed so that it is comfortable for the care recipient. Therefore, it is possible to ease the burden of the care worker for adjusting the care recipient's posture.

In the nursing bed posture changing devices10and10B of the nursing bed system1according to the first embodiment and the second embodiment, the bed posture information generating circuitry22includes the care recipient demand feature quantity extracting circuitry12which extracts the demand feature quantity by which the care recipient's demand is characterized from the care recipient data, the memory13which stores the plurality of kinds of demands of the care recipient, and the bed posture mode information for identifying the posture of the nursing bed associated with each of the plurality of kinds of demands, and the generating circuitry19which reads, from the memory13, the bed posture mode information associated with the care recipient's demand corresponding to the demand feature quantity extracted by the care recipient demand feature quantity extracting circuitry.

Further, as described in the second embodiment, the bed posture information generating circuitry22may be further provided with the demand identifying circuitry18which identifies the care recipient's demand based on the given specific rule based on the demand feature quantity. Therefore, the care recipient's demand can be identified for the demand feature quantities of various modes.

Further, as described in the second embodiment, the care recipient data may further include the time data indicative of the time at which at least one data of the voice data and the image data is generated. The demand identifying circuitry18may identify the care recipient's demand based on the demand feature quantity and the time data corresponding thereto. Therefore, the accuracy of identifying the care recipient's demand by the demand identifying circuitry18can be improved.

Further, as described in the first and second embodiments, the nursing bed system1may further include the operational information acquiring circuitry15which acquires the operational information when the posture of the nursing bed2is operated by the care worker corresponding to the care recipient's demand, and the bed posture mode information updating circuitry16which updates the bed posture mode information which is stored in the memory13while being associated with the demand, according to the operational information acquired by the operational information acquiring circuitry15. Therefore, since the bed posture mode information updating circuitry16is sequentially updated by the new information, the comfortable bed posture mode can be provided to the care recipient, even if the care recipient's physical situation is changed.

In the nursing bed posture changing device10A of the nursing bed system1according to the third embodiment, the bed posture information generating circuitry22includes the machine learning classifying circuitry17which has the learned model learned with the large number of teaching data in which the input data containing the care recipient data or its processed data is associated with the output data containing the bed posture mode information according to the care recipient's demand, and derives the output data corresponding to the input data to be recognized using the learned model. The input data may contain the demand feature quantity by which the care recipient's demand extracted from the care recipient data is characterized. Thus, by using the machine learning classifying circuitry17which includes the learned model as the bed posture information generating circuitry22, the bed posture mode information according to the care recipient's demand can be derived from the care recipient data (or its processed data) with high precision.

As described in the third embodiment, the nursing bed posture changing device10A may further include the teaching data acquiring circuitry31which acquires the large number of teaching data, each comprised of a combination of the input data containing the care recipient data or its processed data, and the output data containing the bed posture mode information according to the care recipient's demand as the correct answer to the input data, and the machine learning circuitry32which establishes the machine learning classifying circuitry17which associates the input data with the output data by using the large number of teaching data. Therefore, the machine learning classifying circuitry17is sequentially learned.

OTHER EMBODIMENTS

Note that, although in the above embodiments, the nursing bed2is provided with the three joints (seeFIG.1), it is not limited to this configuration, as long as the nursing bed2is provided with one or more joints, and is configured to be changeable of the shape of the floor of the bed, and/or the posture related to the angle of the entire bed. The nursing bed2may have the configuration disclosed in FIG. 1 of Patent Document 1, for example.

It is apparent for the person skilled in the art that many improvements and other embodiments of the present disclosure are possible from the above description. Therefore, the above description is to be interpreted only as illustration, and it is provided in order to teach the person skilled in the art the best mode that implements the present disclosure. The details of the structures and/or the functions may be changed substantially, without departing from the spirit of the present disclosure.

INDUSTRIAL APPLICABILITY

The present disclosure is useful at the nursing site, such as the nursing home.