WO2018212134A1 - Dementia care system - Google Patents

Dementia care system Download PDF

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Publication number
WO2018212134A1
WO2018212134A1 PCT/JP2018/018549 JP2018018549W WO2018212134A1 WO 2018212134 A1 WO2018212134 A1 WO 2018212134A1 JP 2018018549 W JP2018018549 W JP 2018018549W WO 2018212134 A1 WO2018212134 A1 WO 2018212134A1
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WO
WIPO (PCT)
Prior art keywords
stimulus
data
activity
supportee
support system
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PCT/JP2018/018549
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French (fr)
Japanese (ja)
Inventor
ハード、ニコラス、ウイリアム
加藤 潤一
北野 宏明
ゴーシュ、サミック
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株式会社Aikomi
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Publication of WO2018212134A1 publication Critical patent/WO2018212134A1/en

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/70ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61GTRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
    • A61G12/00Accommodation for nursing, e.g. in hospitals, not covered by groups A61G1/00 - A61G11/00, e.g. trolleys for transport of medicaments or food; Prescription lists
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • This application relates to a support system for effectively supporting a supportee who needs care or assistance.
  • the present invention provides a new system for reducing the burden on the supporter by enabling effective care and assistance for the onset of BPSD (Behavioral and Psychological Symptoms of Dementia), which is a cognitive symptom.
  • BPSD Behavioral and Psychological Symptoms of Dementia
  • an object of the present invention is to provide a new support system for connecting a supportee and a supporter to each other and assisting each other to reduce their mental and physical burdens. is there.
  • the present invention is at least interposed between a supported person who receives care or assistance and a support person who provides care or assistance to the supported person, and promotes healthy activation of the supported person.
  • the present invention provides a support system for preventing a decrease in QOL (Quality of Life) of a supporter, which includes at least one sensing device capable of sensing the activity of the supported person, and the supported person.
  • a stimulus transmitting device that directly or indirectly provides stimulation to at least one of the five senses, and the sensing device and an information processing device communicably connected to the stimulus transmitting device. It is configured to receive the activity from the supportee from the device and generate stimulus data relating to the stimulus transmitted from the stimulus transmitting device.
  • the stimulus and the stimulus response are stored as data in correlation with each other, or the stimulus can be provided to the supportee at a more appropriate time and content. become able to.
  • the present invention determines whether or not the sensed activity is a unique activity among the activities of the supportee, and when it is determined to be a unique activity, the subject receives a stimulus corresponding to the unique activity. It is configured to generate stimulus data for provision to a supporter.
  • the system can determine whether the supportee's activity is a peculiar action, automatically determine an appropriate response to the peculiar action, and give a stimulus to the supportee. It becomes possible. It is also possible to grasp the degree of progress of the supportee's case from data acquired by using the system of the present invention. Even when the supporter takes care, it becomes possible to objectively understand that the behavior of the supportee is the behavior caused by the symptoms. It is possible to alleviate the burden.
  • the present invention is a support system including a first interface device that can be used by the supporter, and the first interface device is configured to be communicable with an information processing device, for example, a personal computer, a smartphone, a tablet , An information processing terminal or the like.
  • an information processing device for example, a personal computer, a smartphone, a tablet , An information processing terminal or the like.
  • the first interface device it is configured so that at least a part of the stimulus information regarding the stimulus transmitted to the supportee and the information regarding the activity that is the stimulus response of the supportee to the stimulus can be received from the information processing apparatus and provided to the supporter.
  • the first interface device may be configured to have a communication function in order to enable interaction with a caregiver or assistance specialist, a doctor, or a supported person.
  • a communication function in order to enable interaction with a caregiver or assistance specialist, a doctor, or a supported person.
  • the time burden on the supporter is greatly reduced.
  • improvement of the activities of the supportee by providing effective stimulus from the support system to the supportee provides a mental margin for the supporter, and the dialogue between the supportee and the supporter allows the person to receive support. Supporter symptoms may be further alleviated.
  • the support system can provide advice to the support person from the support system to the support person, or conversely request selection of new stimulus information. If the support system gives a stimulus that is rather unsuitable for the supportee, it can also be corrected, enabling organic and supportive mutual support between the support system and the supporter. .
  • the support system is released autonomously by releasing the support system, but when it is necessary to communicate with the support person, or when it is necessary to call the support person urgently
  • the first interface device can be used.
  • the information processing apparatus of the support system generates new stimulus data based on the relationship between the stimulus given to the supportee and the activity of the supportee that becomes a stimulus response to the given stimulus. Therefore, it is possible to provide an appropriate stimulus corresponding to the content of the symptom of the supportee, the degree of progression, or improvement by treatment.
  • the present invention provides a support system configured to have personal information of a person to be supported and generate stimulation data based on the personal information.
  • the support system of the present invention can determine the specific behavior unique to the supportee based on personal information, and as a result, can provide more effective stimulation for the supportee.
  • the present invention can be configured such that the information processing apparatus determines whether or not the activity of the supportee is unique based on personal information of the supportee. For example, if the supported person has a physical disability, even if the person's movement is special compared to a healthy person, or even if he / she makes a loud voice on a daily basis, the personal information will be If the information on the physical disability is included, it is not erroneously determined as information specific to a movement or loud voice that is awkward compared to a healthy person, and more appropriate support action can be performed.
  • the personal information of the supportee can be configured to be provided to the information processing device via the first interface device.
  • the present invention accumulates the stimulus by the stimulus data obtained based on personal information and the activity of the supportee as the stimulus response as case data, and generates subsequent stimulus data based on the accumulated data. You may do it.
  • the support system improves the previously applied stimulus more autonomously based on the relationship between the stimulus and the stimulus response.
  • a series of loops for generating stimulus data related to the selected stimulus is formed, and more autonomous improvement is achieved. Maintaining the relationship between the stimulus delivery to the supportee and the activity that is the stimulus response can not only produce more appropriate stimulus for the progression of symptoms, but also alleviate the symptoms and improve It is also effective for a step-by-step treatment when heading to.
  • the recipient may be, for example, dementia, depression, PTSD, multiple sclerosis, Parkinson's disease, eating disorders, schizophrenia, drug dependence, alcohol dependence, obsessive compulsive disorder, or other care and / or
  • the support system has information on specific behavior that can be caused by the disease, such as BPSD, which is a dementia behavior or a psychological symptom. Based on the accumulated information, it can be configured to determine whether or not the behavior is unique corresponding to a symptom caused by a disease such as BPSD.
  • the support system of the present invention correlates the progression of symptoms with symptoms such as abnormal behavior due to diseases such as BPSD. It is particularly effective for grasping.
  • the support system of the present invention further includes a second interface device that can be used by a caregiver or assistance specialist or doctor for the supportee, and the second interface device is, for example, a personal computer, a smartphone, a tablet, or the like.
  • the above-mentioned specialist or doctor can be configured to have a communication function for making a call with at least one of the supportee and the supporter.
  • the present invention provides at least a part of personal information of the supportee, a stimulus based on stimulus data generated by the information processing device, and a stimulus response to the supportee's stimulus via the second interface device. It can also be configured such that at least part of the information of an activity is provided to a specialist or doctor.
  • a caregiver or assistance specialist or doctor can not only objectively grasp the behavior and symptoms of the supported person, but also be more effective for the supported person while checking with the supporter. Since it becomes possible to consult and provide support, it is possible to avoid labor due to unnecessary support.
  • the present invention provides a plurality of software modules having treatment algorithms corresponding to the type, degree, treatment course, etc. of each disease so that appropriate care and assistance are provided to each supportee.
  • the disease requires, for example, dementia, depression, PTSD, multiple sclerosis, Parkinson's disease, eating disorders, schizophrenia, drug dependence, alcoholism, obsessive compulsive disorder, or other care and / or assistance
  • the support system is configured to execute corresponding to at least one of the plurality of software modules prepared.
  • the software module can be a module that can be downloaded to the first interface device and executed, and the information processing device is configured to operate in accordance with the module so that the downloaded module functions. Is done.
  • FIG. 2 is a functional block diagram of the information processing apparatus 100 of FIG. 1 and a conceptual diagram of an interface with various external devices. It is an example of a processing process of the sensing activity processing unit 110. 3 is an example of a processing process of a stimulus data generation unit 120.
  • FIG. 4 is a diagram showing the relationship between the supporter applications (application 1 to application m) stored in the supporter information processing terminal 50, the stimulation generator 20 as a module, and the activity sensing device 10.
  • An example of the process of the sensing activity process part 110 with respect to a dementia patient is shown.
  • An example of the process of the stimulus data generation part 120 with respect to a dementia patient is shown.
  • FIG. 1 shows an overall configuration diagram of a support system 1 according to an embodiment of the present invention.
  • the support system 1 includes an information processing apparatus 100 for supporting care of a supportee, and one or a plurality of activity sensing devices 10 (1) to 10 (m) and one that form an interface with the supportee.
  • the activity sensing devices 10 (1) to 10 (m) and the stimulus generating devices 20 (1) to 20 (n) are connected to the router 40 by wired or wireless communication.
  • the router 40 and the information processing apparatus 100 are connected to a network 90 that represents the Internet, and the activity sensing apparatuses 10 (1) to 10 (m), the stimulus generation apparatuses 20 (1) to 20 (n), and the information processing apparatus. Electronic information communication with 100 is possible.
  • the incidental numbers m and n are integers, and for the sake of simplicity, the activity sensing devices 10 (1) to 10 (m) and the stimulus generators 20 (1) to 20 (n) are simply sensed. These are referred to as device 10 and stimulus generator 20.
  • the activity sensing device 10 and the stimulus generation device 20 are collectively referred to as a supportee interface.
  • the information processing apparatus 100 is configured to remotely communicate with the supportee interface via the Internet 90.
  • the information processing apparatus 100 is electrically connected to the supportee interface and a dedicated line. Communication may be performed.
  • the information processing apparatus 100 may be provided at a position closer to the supportee interface.
  • the information processing apparatus 100 is configured such that various functions to be described later are distributed and assigned to a plurality of processing apparatuses, which are electrically connected so as to be communicable and organically combined as a whole. The above function may be executed.
  • some functions of the information processing apparatus 100 may be provided in a distributed manner in the stimulus generation apparatus 20 or the activity sensing apparatus 10. Therefore, the information processing apparatus is not limited to the arrangement shown in FIG.
  • the information processing apparatus 100 can also perform electrical communication with the symptom data system 200.
  • the medical condition data system 200 may be connected to the information processing apparatus 100 by a dedicated line, but may be connected to a network such as the Internet 90.
  • An information processing terminal 50 for supporters and an information processing terminal 60 for professionals can be connected to the Internet 90, and these are connected to the supportee interface and the information processing apparatus 100 in addition to electrical communication performed between them. It is also possible to perform communication. As described above, this network configuration is an example, and various networks can be used as long as the function can be achieved.
  • the configuration of the activity sensing device 10 will be described with reference to FIG.
  • the activity sensing device 10 includes an interface 11 for wireless or wired connection, an activity sensing element 12, a controller 13, a timer 14, and a memory 15.
  • the interface 11 provides an interface for performing electrical communication between the activity sensing device 10 and an external device such as the router 40.
  • the activity sensing element 12 is an element or element for sensing the activity of the supportee (hereinafter simply referred to as “element” including the element).
  • This element is, for example, a microphone that senses sound, a light sensor that is not generated by the supported person, but that detects light such as visible light or infrared light that changes depending on various actions of the supported person, A vibration sensor for detecting vibration caused by a supporter's operation, a pressure sensor such as a piezoelectric sensor for detecting a pressure when a person is sitting or sleeping, an imaging device or a camera for detecting a supportee, This is a Doppler sensor for remotely detecting the heart rate, respiratory rate, activity level, etc. of the person being supported.
  • the medicine dispenser for providing medicine to the person to be supported is preliminarily provided with a piezoelectric sensor capable of detecting whether the medicine has been taken out, the piezoelectric sensor may be used as the activity sensing element 12. Is possible.
  • the activity of the supportee to be received by the activity sensing device 10 includes the activity of the supportee itself, for example, an event such as a motion or voice of the supportee, or any event caused by the activity, for example, the supportee. Sound generated by the movement of a person, an event of a sound change caused by turning on or off a TV or radio caused by an operation of a remote controller, an event of a sound generated when a supported person throws an object and hits something.
  • the activity sensing device 10 can use various sensors that can directly or indirectly grasp the activity of the supportee as an event. Furthermore, this event can also include an event (no event) that the supportee does not react at all to the sensing object.
  • the activity sensing device 10 preferably has a timer 14.
  • the timer 14 is for recording the time of recording the activity of the supportee, that is, the event due to the activity of the supportee (collectively referred to as “detectable activity”). This timer 14 can be compared with the time of the stimulus generated by the stimulus generator 20 described later, and is useful for grasping the correspondence and causality between the stimulus occurrence event and the activity event.
  • the timer 14 is not necessarily limited to a clock device such as a real-time clock inside the activity sensing device 10, and may be any one that can be obtained as time information in the activity sensing device 10.
  • time data may be obtained from the outside of the activity sensing device 10 or may be grasped by software from a count of clocks used for the operation of the controller 13.
  • the memory 15 stores an activity event (sensing activity) from the supported person sensed by the activity sensing element 12 as data.
  • the time information is added to the data by the timer 14, and the time of occurrence of the activity event corresponding to the activity data can be grasped.
  • the controller 13 controls the operation of the activity sensing device 10, receives a request from the information processing device 100, senses the activity of the supportee by the activity sensing element 12 in response to the request, and internally stores data. And the control of the activity sensing device 10 is performed such as returning the obtained sensing activity data to the information processing device 100.
  • the configuration of the stimulus generator 20 will be described with reference to FIG.
  • the stimulus generator 20 includes an interface 21 for wireless or wired connection, a stimulus generator 22, a controller 23, a timer 24, and a memory 25.
  • the interface 21 provides an interface for performing communication between the stimulus generator 20 and an external device such as the router 40.
  • the stimulus generating element 22 is an element for giving a stimulus to the supportee.
  • the stimulus includes a stimulus that works directly on the supportee and a stimulus that works indirectly on the supportee. Therefore, the stimulus generating element 22 includes an element or a device for directly or indirectly providing a physical event to the supportee.
  • Examples of the stimulus generating element 22 include a speaker that generates sound, a lamp that irradiates light to the supported person, and a command to the already installed lighting to turn on the lighting.
  • the stimulus generator 20 also has a timer 24.
  • the timer 24 is effective for scheduling the generation of a stimulus, such as generating a stimulus at a specified time received from the information processing apparatus 100. Then, it becomes possible to compare with the sensing time of the activity event (sensing activity) of the supportee sensed by the activity sensing device 10 after the occurrence of the stimulus, and to grasp the correspondence and causal relationship between the stimulus transmission event and the activity event.
  • the timer 24 is not necessarily limited to a clock device such as a real-time clock inside the stimulus generator 20, and may be anything that can be obtained as time information in the stimulus generator 20. For example, time data may be obtained from an external system such as the information processing apparatus 100 outside the stimulus generator 20, or may be grasped from the count of clocks used for the operation of the controller 23. .
  • the memory 25 stores stimulus data corresponding to the stimulus generated from the stimulus generating element 22. Stimulation data can be associated with time by the timer 24 to schedule stimulation generation.
  • the controller 23 controls the operation of the stimulus generator 20, receives a request from the information processing apparatus 100, generates a stimulus from the stimulus generator 22 in response to the request, and further generates a stimulus. Control is performed so that the function of the stimulus generator 20 is exhibited, such as notifying the information processing apparatus 100 of the fact that it has been performed.
  • FIG. 4 schematically shows the relationship between the activity sensing device 10, the stimulus generating device 20, and the information processing device 100.
  • the activity sensing device 10 When detecting an activity event (sensing activity) from the supportee, the activity sensing device 10 notifies the information processing device 100 that the activity has been sensed and shows data indicating what kind of activity it is. Send sensory activity data. Of course, it is possible to appropriately determine at what time to notify it and in what format and at what time to transmit the sensing activity data according to the processing to be used.
  • the activity sensing device 10 has functions of a device identifier F11, an activity sensing control F12, and an activity sensing notification F13 that can uniquely identify the device.
  • the device identifier F11 is used to specify a device from among the plurality of activity sensing devices 10.
  • the information processing apparatus 100 identifies the activity sensing device 10 by using the device identifier, and the activity sensing device 10 can determine whether or not the activity sensing device 10 is identified by the information processing device 100 based on the device identifier. Thus, the identified activity sensing device 10 can cooperate with an external device such as the information processing device 100.
  • the activity sensing control F12 has a function of controlling the operation of the activity sensing device 10 in response to a sensing request from the information processing device 100, and the activity sensing notification F13 indicates that the activity sensing device F has activity sensing. It has a function of notifying that there has been, and transmitting the activity data.
  • the sensing request from the information processing apparatus 100 may include data related to a sensing schedule indicating when to sense, and the activity is sensed at a predetermined schedule time by the activity sensing control F12.
  • the stimulus generator 20 When receiving the stimulus generation request and the stimulus data to be generated from the information processing apparatus 100, the stimulus generator 20 generates a stimulus for the supportee. As already described, the generation of a stimulus includes the generation of a stimulus for indirectly giving a stimulus to the supportee, in addition to the stimulus directly giving the supportee.
  • the stimulus request may also include data relating to a schedule indicating when the stimulus is generated.
  • the stimulus generator 20 When a stimulus is generated from the stimulus generator 20, the stimulus generator 20 issues a stimulus occurrence event notification for notifying that the occurrence has occurred to the information processing apparatus 100, and details of the generated stimulus Is transmitted as developmental stimulus data.
  • the time at which the stimulus is generated can be attached to the stimulus event notification or the generated stimulus data as a time stamp.
  • the stimulus generation device 20 uses each of the stimulus generation devices 20 (1) to 20 (n). It has functions of an identifiable device identifier F21, a stimulus generation control F22, and a stimulus generation event notification F23.
  • the information processing apparatus 100 will be described with reference to FIGS.
  • FIG. 5 shows a functional block diagram of the information processing apparatus 100.
  • the information processing apparatus 100 includes a sensing activity processing unit 110, a stimulus data generation unit 120, a symptom data acquisition / accumulation processing unit 130, a customization data acquisition / accumulation processing unit 140, a supporter information processing terminal interface 150, and a specialist It has an information processing terminal interface 160.
  • the sensing activity processing unit 110 is a processing unit for analyzing the sensing activity data received from the activity sensing device 10 to determine whether or not the activity data indicates any specific behavior, and the activity data analysis shown in FIG.
  • the functions of F111, specific behavior analysis F112, individual analysis F113, symptom case addition F114, and specific behavior determination F115 can be provided.
  • the activity data analysis F111 receives the data sensed by the activity sensing device 10, and analyzes and extracts whether the data is activity data generated for the supportee. For example, when the sensed data is audio data, various noises may be mixed in the audio data. In that case, the activity data of the supportee is specified by removing the noise and extracting only the voice part of the supportee. In another example, when the sensed data is moving image data, an image of the supportee is extracted from the moving image data, and the operation is specified as activity data.
  • the activity types that can be received by each activity sensing device 10 corresponding to the unique device identifier F11 of the activity sensing device 10 are managed by the information processing device 100, what kind of activity data is used for which activity sensing.
  • the activity data analysis F111 is provided as a function in the sensing activity processing unit 110 to extract the corresponding activity data, but requests other processing devices to process it via the network. You may do it. The same applies to other functions of the sensing activity processing unit 110 and the stimulus data generation unit 120 described below.
  • the activity data extracted by the activity data analysis F111 may be sent to the specific behavior determination F115.
  • the specific action determination F115 determines whether or not data indicating a specific action is not included in the activity data. For example, when the activity data is voice data, it is determined whether or not there is voice data of a predetermined volume or more in a certain duration, and if so, the activity data is peculiar activity data. to decide. If the activity data is facial expression image data, it is determined whether the facial expression image data is different from the normal state for a certain duration by a predetermined facial expression algorithm for the face.
  • the activity data is acceleration data
  • a sensor for detecting acceleration is incorporated in the stuffed toy or the like, and it is determined whether or not the stuffed toy has been sensed as having a predetermined acceleration or more. Further, when the activity data is video data, it is determined whether or not the movement pattern is different from the normal pattern, for example, the posture pattern or the motion pattern indicating the suffering state by a predetermined algorithm during a certain duration.
  • the data used as the basis for comparison for making this determination can be acquired from, for example, the external storage 220 configured to store the disease state database, or is set in advance in the information processing apparatus 100 itself and is not shown in the figure. You may store in.
  • the activity data analyzed by the activity data analysis F111 may be sent to the specific behavior analysis F112.
  • the activity data is analyzed in more detail to determine whether or not the data can be used as the determination data for the specific behavior. For example, for a sensed change in audio data, data as an associated event is obtained from the external storage 220 of the medical condition data system 200 via the symptom data acquisition processing unit 131.
  • the voice analyzed by the activity data analysis F111 has characteristics such as a shout or shout of the supportee
  • the data, acceleration as an event related to the shout or shout In the case of data, data on rapid acceleration such as throwing an object, in the case of facial expression image data, data on sadness and anger, and in the case of video data of posture, data on the posture, supported person
  • data regarding the walking pattern is obtained from the medical condition data system 200 via the symptom data acquisition processing unit 131.
  • the symptom data system 200 stores voice data corresponding to the hoarseness and cry, video data related to sadness and anger, various poses corresponding to postures, for example, video data related to a fallen state, walking patterns, etc. It can be used as classification data for determination by the specific behavior analysis F112. Based on this data, the peculiar behavior analysis F112 determines whether the data related to the hoarseness, cry, sadness, anger, posture, walking pattern, etc. can be used as classification data for judging peculiar behavior. to decide. When it is determined that the data can be used for the determination of the specific action, the data usable for the determination of the specific action processed by the activity data analysis F111 can be sent to the specific action determination F115.
  • the symptom data acquisition processing unit 131 is useful for inquiring an external database as to whether or not the data corresponds to data for making a determination as a specific action and acquiring the information.
  • the unique behavior determination F115 determines whether or not the behavior is unique from, for example, the hoarseness and cry patterns and strengths determined as the specific behavior, the same walking pattern repeated many times, and the like.
  • the data used as a basis for comparison for making this determination can be acquired from the external storage 220 via the symptom data acquisition processing unit 131, or can be stored in advance in the information processing apparatus 100 itself. It may be set and stored in a memory (not shown). Further, the information processing apparatus 100 may determine the specific behavior by using a known or future artificial intelligence technology. In addition, data serving as a criterion for determining specific behavior may be acquired from the external storage 220 via the symptom data acquisition processing unit 131, and a determination may be made based on the acquired data.
  • the specific behavior may be a specific behavior issued by any request of the supportee. It is also possible to determine whether it exists. For example, it is a type of peculiar behavior that appeals to communicate with a supporter, or a peculiar behavior caused by physiological problems such as excretion, and the data is general data, Alternatively, by accumulating as individual data in the external storage 220 or the customizing unique information storage 190, it becomes possible to perform a more accurate determination and a corresponding stimulus.
  • the sensing activity data received by the activity data analysis F111 is not limited to one, but may be different types of activity data obtained from a plurality of activity sensing devices 10.
  • image data and audio data are received by the activity data analysis F111, and both data are sent to the specific behavior analysis F112.
  • An example of a combination of image data and audio data is image data in which there is no one other than the supportee in the room, and audio data in which conversation continues with someone in the room, and the singular behavior analysis F112 determines the combination. Then, it is specified whether or not the action is a judgment target of the specific action.
  • sensing activity data examples include voice data indicating hoarseness and video data indicating violent behavior, video data suffering and data from a Doppler sensor indicating abnormal respiratory rate, and the like.
  • voice data indicating hoarseness and video data indicating violent behavior video data suffering and data from a Doppler sensor indicating abnormal respiratory rate, and the like.
  • video data suffering and data from a Doppler sensor indicating abnormal respiratory rate and the like.
  • the present invention is not limited to this.
  • the data analyzed by the specific behavior analysis F112 may be sent to the individual analysis F113. Further, the activity data analyzed from the activity data analysis F111 may be sent directly to the individual analysis F113 without being sent to the specific behavior analysis F112. This individual analysis F113 is combined with the specific behavior determination F115 to analyze the specific behavior based on the behavior specific to the supported person and determine whether the specific action is appropriate for the supported person. . For example, there may be movement patterns and voice patterns that are unique to the person, but if there is an abnormality in the characteristic movement pattern or voice pattern, the person being supported has changed. It is useful for judgment.
  • the symptom case addition F114 determines whether or not the characteristic behavior pattern is from the obtained data based on the data in the customization specific information storage 190 obtained through the customization data acquisition / accumulation processing unit 140. Extract and identify data corresponding to characteristic behavior. Therefore, this characteristic operation is registered in advance in the customizing unique information storage 190 so that it can be used as basic data for determination.
  • the data for customization personal information unique to the supportee is useful, so that an activity that should not be determined as a specific behavior can be avoided as a specific behavior. For example, if the person being supported has a physical disability such as hearing loss, the voice generally tends to become louder. However, if the information is stored as personal information, the loudness is peculiar. It is also possible not to be judged as an action.
  • the characteristic data specified by the individual analysis F113 is sent to the specific behavior determination F115, and the specific behavior determination F115 determines whether or not the data is specific behavior.
  • Data serving as a reference for determining whether or not the data is specific behavior may be acquired from the customizing unique information storage 190, or may be set in the information processing apparatus 100 by grasping the characteristics of the supportee in advance. It may be stored in a memory (not shown).
  • the data analyzed by the specific behavior analysis F112 may be sent directly to the specific behavior determination F115 without going through the individual analysis F113.
  • the data analyzed by the activity data analysis F111 may be sent to the individual analysis F113 without going through the specific behavior analysis F112.
  • the data obtained in the specific behavior analysis F112 or the individual analysis F113 is sent to the symptom case addition F114 to be accumulated as a symptom case, and the symptom data accumulation processing unit 132 or the customization data accumulation processing unit 142 You may make it accumulate
  • the data obtained from the specific behavior analysis F112 may be sent to the symptom case addition F114 without going through the individual analysis F113.
  • the specific action data is sent from the sensing activity processing unit 110 to the stimulus data generation unit 120.
  • the function of the stimulus data generation unit 120 will be described with reference to FIG.
  • the stimulus data generation unit 120 determines what kind of stimulus should be generated from the specific behavior data, generates the stimulus data, sends the stimulus data to the related stimulus generation device 20, and sends the stimulus via the specified stimulus generation device 20. It is a processing unit that functions to generate a stimulus corresponding to data.
  • the stimulus data generation unit 120 can include specific behavior data F121, corresponding stimulus analysis F122, individual corresponding stimulus analysis F123, and corresponding stimulus data generation F124.
  • the unique behavior data F121 receives unique behavior data.
  • the corresponding stimulus data generation F ⁇ b> 124 can generate stimulus data without receiving specific behavior data so that a daily regular or irregular stimulus can be generated via the stimulus generator 20. .
  • the unique behavior data may be sent directly to the corresponding stimulus data generation F124 without passing through the corresponding stimulus analysis F122 and the individual corresponding stimulus analysis F123.
  • Corresponding stimulus data generation F124 generates corresponding stimulus data from the specific data determined to be the specific action. For example, when it is determined from the time information that functions as a time stamp that can be included in the specific data that there is a sign that the specific action will occur at a certain time, the corresponding stimulus data generation F124 prior to that time, the specific stimulus data generation F124 Corresponding stimulus data for generating a stimulus for alleviating the occurrence of the above is generated.
  • the generated corresponding stimulus data is transmitted to the stimulus generator 20 specified according to the type of the stimulus, and a stimulus is generated based on the corresponding stimulus data.
  • the sensing activity processing unit 110 can sense a behavior with respect to this stimulus generation, and forms a so-called feedback loop with the stimulus data generation unit 120. It is clear. Therefore, the information processing apparatus 100 can also determine whether the generated stimulus is effective. Further, by continuing this loop, it is possible to generate stimulus data flexibly corresponding to a sensing activity that is a stimulus response that changes stepwise.
  • the specific behavior data F121 is related to the corresponding stimulus data generated by the corresponding stimulus data generation by associating the data in which the specific behavior has not occurred with the external storage 220 of the medical condition data system 200 via the symptom data storage processing unit 132, It can be sent to the customizing unique information storage 190 and stored as an improved response stimulus. It should be noted that the feedback functional diagrams of FIGS. 6 and 7 are examples and are not limited to this configuration.
  • the specific behavior data from the sensing activity processing unit 110 may be sent to the corresponding stimulus analysis F122.
  • the corresponding stimulus analysis F122 is a part that performs more detailed corresponding stimulus analysis. For example, in response to a certain change in a hoarseness or cry, data related to the event is obtained from the external storage 220 of the medical condition data system 200 via the symptom data acquisition processing unit 131. For example, when a hoarseness or scream, which is a voice analyzed by the peculiar behavior determination F115, is determined as peculiar behavior, data as an event related to the hoarseness or scream is obtained from the medical condition data system 200.
  • the correspondence stimulus analysis F122 determines what kind of response should be taken. And the action data which should respond
  • the correspondence stimulus analysis F122 transmits the specific behavior data by the symptom data acquisition processing unit 131 and inquires about the correspondence of the specific behavior by the disease state data system 200 even when the information processing apparatus 100 alone cannot determine what kind of response should be performed. The corresponding data can be acquired.
  • the symptom data acquisition processing unit 131 is useful for inquiring the external database about the response to the specific behavior and acquiring the information.
  • the stimulus correspondence information obtained by the analysis by the corresponding stimulus analysis F122 can be sent to the corresponding stimulus data generation F124, where the stimulus generator 20 that matches the stimulus correspondence information is identified and the stimulus to be generated is handled. Is generated and sent to the associated stimulus generator 20.
  • the stimulus data is not limited to one stimulus generator 20, but is transmitted to a plurality of stimulus generators 20, and the plurality of stimulus generators 20 work together in accordance with the schedule of the stimulus data. be able to.
  • the types of stimuli that can be generated corresponding to the unique device identifier F21 of the stimulus generation device 20 are managed by the information processing device 100. Therefore, which type of data is sent to which stimulus generation device 20 depends on the stimulus. It can be specified by the unique device identifier F21 of the generation device 20.
  • the corresponding stimulus data generation F124 itself can determine and determine what kind of corresponding stimulus should be performed from the specific action data.
  • the data used as the basis for making the determination may be acquired from the external storage 220 in advance, or may be preset in the information processing apparatus 100 itself and stored in a memory (not shown).
  • the corresponding stimulus data determined by the corresponding stimulus analysis F122 may be sent to the individual corresponding stimulus analysis F123.
  • the individual corresponding stimulus analysis F123 is useful for generating a unique and more effective corresponding stimulus for the supportee. For example, it is possible to determine the corresponding stimulus in consideration of information related to the person, such as the person's unique preference, past experience, behavior immediately before, and upbringing. Accordingly, the customization data acquisition / accumulation processing unit 140 accumulates information related to the person to be supported as the customization data, and can use it as basic data for individual correspondence.
  • the individual corresponding stimulus data specified by the individual corresponding stimulus analysis F123 is sent to the corresponding stimulus data generation F124, and the corresponding stimulus data generation F124 responds to the specific stimulus data (including the case where there is no specific action data). Is determined and generated.
  • the data analyzed by the corresponding stimulus analysis F122 may be sent directly to the corresponding stimulus data generation F124 without going through the individual corresponding stimulus analysis F123.
  • the data from the specific action determination data F121 may be sent to the individual corresponding stimulus analysis F123 without passing through the corresponding stimulus analysis F122.
  • the data obtained by the corresponding stimulus analysis F122 and the individual corresponding stimulus analysis F123 is sent to the corresponding stimulus data generation F124 to be stored as a symptom case, and the symptom data storage processing unit 132 or the customized data storage processing unit 142 is sent. Accordingly, the information may be stored in the external storage 220 of the symptom data system 200 or the customization specific information storage 190.
  • the data generated by the corresponding stimulus data generation F124 may also be stored in the external storage 220 or the customization specific information storage 190 via the symptom data storage processing unit 132 or the customization data storage processing unit 142.
  • the data obtained from the corresponding stimulus analysis F122 may be sent to the corresponding stimulus data generation F124 without going through the individual corresponding stimulus analysis F123.
  • the corresponding stimulus may be determined by using a known or future artificial intelligence in the corresponding stimulus analysis F122 and the individual corresponding stimulus analysis F123.
  • FIG. 8 shows functional blocks operable on the information processing terminal 50 for supporter.
  • An information processing terminal interface 150 for the supporter of the information processing apparatus 100 is provided so that this functional block can be executed.
  • the supporter information processing terminal 50 has an activity data monitor 51, a supportee communication mode 52, a customization data input mode 53, a communication mode 54, and a supportee stimulus providing mode 55.
  • the activity data monitor 51 has a function of monitoring and confirming activity data from the activity sensing device 10.
  • the activity data monitor 51 accepts a request from an activity data continuous reception mode 51a in which activity data can be continuously confirmed as stream data and a supporter using the information processing terminal 50 for supporter, and responds to the request. And a supporter request reception mode 51b for receiving the activity data. It is also possible for the supporter to specify which activity sensing device 10 receives data.
  • the activity data monitor 51 detects the specific action in the information processing apparatus 100, it notifies the supporter information processing terminal 50 that the specific activity has occurred, and sends the activity data to the supporter.
  • Specific action detection notification mode 51c that is sent to the information processing terminal 50 for confirmation by the supporter.
  • the supporter information processing terminal 50 may be able to confirm what kind of stimulation has occurred according to the sensing activity.
  • the supportee communication mode 52 is a function that enables communication such as dialogue with the supportee through the stimulus generation device 20 and the activity detection device 10 or through a device other than the stimulus generation device 20 (not shown). This can be used when something suddenly occurs in the supported person or when communication with the supported person is desired.
  • the sensing activity processing unit 110 and the stimulus data generation unit 120 described above can perform communication when it is determined that the behavior of the supportee does not generate specific behavior and is relatively mild, support is provided. The burden on the person's heart and the pressure are further reduced, and it is possible to support the care of the supporter as well as the supportee.
  • the supporter when it is determined by the analysis of the sensing activity processing unit 110 and the stimulus data generation unit 120 that the action is a peculiar action of the type appealing to communicate with the supporter, the supporter By responding, it is possible to efficiently provide mental support for the supportee. Therefore, since the supporter can efficiently have time to be freed from communication with the supportee, mutual care can be achieved.
  • the customization data input mode 53 is a function for inputting information related to the supportee.
  • the input customization data can be used as customization data in the customization data acquisition / accumulation processing unit 140 described with reference to FIGS.
  • the communication mode 54 is a function for communicating with doctors, care professionals, etc. based on the behavior and support information related to the supportee already described, obtaining advice from doctors, etc., and conveying various information such as progress It is. Moreover, you may make it have a function for aiming at communication with the counseling and the friend who performs the same support. In that case, a security barrier that restricts the information to be provided can be set in the information.
  • the supported person stimulus providing mode 55 is a mode in which a stimulus is arbitrarily given from the support person.
  • a function of the activity data monitor 51 provides the stimulus from the arbitrarily selected stimulus generator 20 in parallel with the operation of automatically generating the stimulus by the information processing apparatus 100 or by interrupting the operation. It becomes possible to confirm through.
  • FIG. 9 shows an example of items that can be input in the customization data input mode 53.
  • items that can be input in the customization data input mode 53 For example, age, gender, family structure at birth, current family structure, history of birth, history of illness, etc., hobbies and preferences, personality characteristics regardless of objective or objective, physical disability, etc. .
  • the present invention is not limited to this example, and as long as it can be used for generating corresponding stimulus information, information related directly or indirectly can be used in addition to the personal information of the individual.
  • the accumulation in the customization specific information storage 190 is not limited to the menu in the customization data input mode 53, and the actions up to the latest can be accumulated as the personal information.
  • a medicine dispenser device when a medicine dispenser device is installed near the patient, when the medicine is taken out from the equipment, the information is used as information from the activity sensing device 10, and personal information of the act of taking out the information is received. You may make it input into the specific information storage 190 for customization as data for customization of a supporter. And if the behavior that is judged as the specific behavior after that is detected when the use of the drug is not detected and can be identified, it becomes possible to associate the customized information that the drug is not used with the specific behavior. Stimulation information that encourages the use of can be provided. This series of processes can also be used to determine drug effectiveness. In other words, it is possible to determine whether the prescribed medicine is effective.
  • information related to the individual such as the date and time of stimulating the supported person, the name of a familiar person, and photos and information that are nostalgic to the supported person, such as photos and information that are nostalgic by the supported person, are personal. May be included as information.
  • produces with respect to the to-be-supported person demonstrated later can contain the information acquired by the personal information.
  • FIG. 10 shows functional blocks operable on the professional information processing terminal 60. And the information processing terminal interface 160 for professionals of the information processing apparatus 100 is provided so that this functional block can be performed.
  • the professional information processing terminal 60 has an activity data monitor 61, a symptom data search mode 62, a supportee communication mode 63, a supporter communication mode 64, and a supportee stimulus providing mode 65.
  • the activity data monitor 61 has a function of monitoring and confirming activity data from the activity sensing device 10.
  • the activity data monitor 61 accepts a request from an expert who uses the activity data continuous reception mode 61a in which the activity data can be continuously confirmed as stream data and the expert information processing terminal 60, and responds to the request.
  • Activity data request reception mode 61b for receiving activity data. It is also possible for an expert to specify which activity sensing device 10 receives data.
  • the activity data monitor 61 detects the unique behavior in the information processing apparatus 100, it notifies the specialist information processing terminal 60 that the particular activity has occurred, and the activity data is used as the specialist information. It has a unique behavior detection notification mode 61c that is sent to the processing terminal 60 so that an expert can check it.
  • symptom data search mode 62 information for enabling an expert such as a doctor to take an appropriate action in light of the symptom of the supportee can be obtained from an external storage device, for example, the external storage 220 or the unique information storage 190 for customization. It is what you want to do.
  • the supportee communication mode 63 is a function that enables communication such as dialogue with the supportee through the stimulus generation device 20 and the activity detection device 10 or through a device other than the stimulus generation device 20 (not shown). This can be used when something suddenly occurs in the supported person or when communication with the supported person is desired. Obtaining trust from the supportee is an important factor in the treatment of the supportee, and can be used to keep communication close.
  • the supporter communication mode 64 can be used to provide advice to the supporter or advice to the information terminal used by the supporter in order to care for the supporter.
  • the supported person stimulus providing mode 65 is a mode in which a stimulus is arbitrarily given from an expert. In parallel with or automatically interrupting the generation of a stimulus by the information processing device 100, the stimulus is transmitted from the arbitrarily selected stimulus generator 20, and the response of the supportee to the stimulus is activated. This can be confirmed through the function of the data monitor 61.
  • ⁇ Stimulus data stimulates at least one of the five senses that the supportee can feel.
  • the five senses are classified into auditory, visual, tactile, gustatory, and olfactory senses, and it is necessary to specifically provide data that appeals to each sense.
  • a speaker is used as a physical element, device, or apparatus for stimulating hearing.
  • elements, devices, and devices are not clearly defined and are not mutually exclusive.
  • an element includes an apparatus, a device, and the like.
  • the apparatus or device may also include an element.
  • the information of the stimulus data is referred to as content.
  • Table 2 is used to illustrate the activity sensing element.
  • the activity sensing element can be composed of a combination of a plurality of elements, or can be composed of a combination of one or a plurality of stimulus generating elements.
  • the elements that provide the stimulus may be of interest to the person being supported by introducing external light into the room or changing the surrounding environment. Can be classified as an indirect stimulating element that provides a simple environment.
  • the stimulation data from the information processing apparatus 100 includes, for example, data that prompts the supportee to provide “flowers” to an information processing terminal used by a supporter or a caregiver or assistance specialist, or “curtain”. It can also be data that encourages people to open and take in outside light.
  • the configuration of the remote-operation type stimulus generation device and the activity detection device that operate by remote operation of the information processing device 100 in cooperation with the information processing device 100 is illustrated. .
  • the operation may be performed more spontaneously regardless of the operation of the information processing apparatus 100.
  • the programmed operation type generation elements shown in the direct stimulation type elements of Table 3 are generation elements that can operate more actively according to pre-programmed operations, and the self-sustained operation type stimulation generation elements are even more independent. This is a generating element that operates as described above.
  • an activity sensing element an element that passively operates from the information processing apparatus 100, a program operation type element that moves more actively, and a self-supporting element that operates more independently.
  • a configuration of a mold element is also possible.
  • Table 3 further illustrates the hardware configuration.
  • the previously described embodiments of the present invention show a stand-alone device in which the stimulus generating element and the activity sensing element are independent of each other, but the stimulus and sensing are integrated into one rather than each being present alone. It is possible to use a robot-type device, for example, a robot-type device in which a variety of activity sensing devices and stimulus generation devices are incorporated to operate more spontaneously. . Furthermore, it is also possible to develop an IOT technology such as an IOT sensor and an IOT speaker so that the activity sensing device and the stimulus generation device are highly networked, and the processing can be performed by artificial intelligence having higher affinity.
  • Different level modules can be configured from the elements shown in Tables 2 and 3 or by a combination of the elements.
  • the simplest module level is one where each exists alone (also referred to as a module in this application), but a module that combines multiple stimulus generators and elements, as well as activity sensing devices and elements. It is also possible to make modules of various patterns, such as modules.
  • the activity sensing device 10 and the stimulus generation device 20 can use various effective elements according to their characteristics.
  • the “element” in the present application may be a concept including such elements.
  • the above function is useful for providing stimulation to the supportee.
  • the supporter information processing terminal 50 can be configured to correspond to various combinations of the elements.
  • FIG. 11 provides stimulus generation as a module, and provides one or more sensing devices as a set corresponding to the module.
  • a set including a sensing device may be a module.
  • the functions enabled for the set are managed as an application to be installed in the information processing terminal 50 for supporter. This makes it clear what kind of stimulation information is provided, and makes it possible to provide the clarified stimulation information as content.
  • the supporter only needs to select a combination set of the application and the module from a plurality of sets, and the information processing apparatus 100 may determine the stimulation information according to the set. Furthermore, when the symptom worsens or is reduced, the support may be continued by adding the set or canceling a part of the set or replacing it with another set.
  • This software module senses the stimulus to the supportee and the stimulus response of the supportee based on the non-drug treatment algorithm corresponding to the symptoms of the supportee, for example, dementia behavior or BPSD. It becomes possible to do.
  • multiple software modules with treatment algorithms corresponding to the type, degree, and course of treatment of each disease are prepared so that appropriate care and assistance can be provided to each recipient.
  • the disease is, for example, depression, PTSD, multiple sclerosis, Parkinson's disease, eating disorders, schizophrenia, drug dependence, alcohol dependence, obsessive compulsive disorder, or other diseases that require care and / or assistance
  • At least one module is downloaded to the supporter information processing terminal 50 from the plurality of prepared software modules, and the information processing apparatus 100 operates so as to correspond to the execution of the downloaded module.
  • FIG. 12 shows how the functions of the sensing activity processing unit 110 in FIG. 6 perform when the sensed data is audio data or image data, using case data of BPSD symptoms of a dementia patient. This is an example. Of course, this is an example, and the present invention is not limited to this.
  • the sensing activity processing unit 110 Upon receiving the sensed voice data from the activity sensing device 10, the sensing activity processing unit 110 performs activity data analysis such as voice pattern recognition, language analysis, and action time specification (F111).
  • the voice pattern recognition analyzes the nature of the voice, for example, the frequency level, voice strength, temporal change, and the like.
  • spatial frequency analysis, image data analysis such as facial feature extraction, facial expression extraction, facial color and the like are performed (F111).
  • image data analysis in addition to an angry expression, a sad expression, an expressionless state, a temporal change in the expression, etc., and the correlation between these analysis data and BPSD symptom data is obtained ( F112).
  • personal information is received from the customizing unique information storage 190 as necessary.
  • the level of the normal voice of the supportee is compared with the level of the sensed voice data, and when the symptoms of the BPSD patient from the external storage 220 develop, the data indicating the difference in the voice level change And determine whether the trends match. If there is a match, it is determined whether there is any correlation with the nature of the voice pattern, and if so, what kind of BPSD symptom data is included. In addition, from the language analysis, the meaning of the word is analyzed and similarly correlated with the BPSD symptom data. And it is judged whether the meaning content corresponds to a BPSD symptom.
  • the behavior time of the supportee is specified, and it is determined from the BPSD symptom data whether the time has a correlation with the behavior time when the symptom of the BPSD patient is developed. In this way, correlation of various information is performed, weighting is performed when necessary, and whether or not the BPSD symptom depends on whether the total score exceeds a predetermined threshold, its weight, The degree of progress is specified (F113). And when it is judged that it is the BPSD symptom, the action which has the correlation is judged as specific action (F115).
  • FIG. 13 shows what each function of the stimulus data generation unit 120 in FIG. 7 shows when the specific behavior is determined as a rant among the cases of BPSD symptoms of a dementia patient from the voice data sensed in FIG. This is an example of whether to perform processing. Of course, this is also an example, and the present invention is not limited to this.
  • the stimulus data generation unit 120 passes the data to the corresponding stimulus analysis F122, and the corresponding stimulus analysis F122 inquires of the medical condition data system 200 about the BPSD symptoms of the rant.
  • the symptom data system 200 stores, via the symptom data acquisition / accumulation processing unit 130, processing corresponding to the BPSD symptom, that is, what is generated as a corresponding stimulus, from the external storage 220 configured to store the disease state database. Return to the corresponding stimulus analysis F122. For example, it is assumed that the medical condition data system 200 provides the transmission of “settled music” and the distribution of “settled image” as corresponding stimuli that suppress the action against rant.
  • the stimulus data generation unit 120 inquires customization data in the individual correspondence stimulus analysis F123, and acquires personal data of the supportee.
  • the individual correspondence stimulus analysis F123 specifying the hobby “rock” determines the transmission of the “rock tone” song and the live video of the “favorite band group” as the correspondence stimulus.
  • the corresponding stimulus data generation F124 acquires data corresponding to the stimulus from a content providing site (not shown) via the Internet 90, generates it as stimulus data, and transmits it to the stimulus generator 20.
  • the content may be acquired from a site other than the support system 1 or may be prepared in advance in the customization specific information storage 190 as personal data of the supportee.
  • the support system according to the present invention is effective in stopping and further mitigating the progress of symptoms of a supportee who has developed a disease, but the present invention is not yet manifested as a symptom of a disease. It is also effective for prevention.

Abstract

Provided is a novel assistance system for reducing the mental and physical burdens by connecting an assistance recipient who receives care or nursing and an assistance provider with each other so as to assist each other. The assistance system at least links the assistance recipient who receives care or nursing and the assistance provider who provides care or nursing to the assistance recipient, and is configured to make the assistance recipient healthy and active and prevent reduction in QOL of not only the assistance recipient but also the assistance provider. This system is provided with: at least one sensing device that can sense the activity of the assistance recipient; a stimulus transmission device that directly or indirectly provides a stimulus in to form of at least one of the five senses to the assistance recipient; and an information processing device that can connect and communicate with the sensing device and the stimulus transmission device, wherein the information processing device is configured to receive the activity of the assistance recipient from the sensing device, and generate stimulus data relating to the stimulus transmitted from the stimulus transmission device.

Description

認知症ケアシステムDementia care system
 本願は、介護や介助等が必要となった被支援者に対して有効に支援するための支援システムに関する。特に本発明は、認知症状であるBPSD(Behavioral and Psychological Symptoms of Dementia)発症に対して有効な介護や介助等を可能として、支援者への負担を軽減するための新たなシステムを提供する。 This application relates to a support system for effectively supporting a supportee who needs care or assistance. In particular, the present invention provides a new system for reducing the burden on the supporter by enabling effective care and assistance for the onset of BPSD (Behavioral and Psychological Symptoms of Dementia), which is a cognitive symptom.
 高年齢化に伴い、今日介護の問題は多く頻繁に取り上げられるほどの緊急の課題となっている。介護や補佐の負担は、被支援者のみならず支援者に多くの時間を割くことが求められ、身体的・精神的な負担が大きくのしかかっている。 】 With the aging of society, the problem of nursing care has become an urgent issue that is frequently taken up today. As for the burden of care and assistant, it is required to spend a lot of time not only on the supportee but also on the supporter, and the physical and mental burden is increasing greatly.
 一方、被支援者にとっても、精神的または認知的な障害の進行によって自己を抑制できず、あるいは自己の表現ができずに、支援者にとってぶしつけな態度と思われるような行為をせざるをえない場合もある。その結果、社会から隔離されて、より孤独な状態へと追いやられることで、その障害が進行する、という悪循環をきたしてしまっている。 On the other hand, for the supportees, they are unable to suppress themselves or to express themselves because of the progression of mental or cognitive disabilities, and are forced to act in a way that seems to be a conflicting attitude for the supporter. There are cases where it is not possible. The result is a vicious circle in which the failure progresses by being isolated from society and being driven into a more lonely state.
 介護や補助を必要とする被支援者とのコミュニケーションを図るのは非常に難しく、被支援者にとって良いと考えて行った行為が、却って被支援者に苦痛などの精神的負担を与えることも少なくない。善意に対し、被支援者から否定的な応答を返されることによる、支援者の落胆も計り知れない。それによって、ますます支援者と被支援者との間の精神的な繋がりが断絶することとなる。 It is very difficult to communicate with a supportee who needs care or assistance, and actions that are considered good for the supportee rarely give the supporter a mental burden such as pain. Absent. The supporter's disappointment due to a negative response from the supportee to good intentions cannot be measured. As a result, the spiritual connection between the supporter and the supportee is increasingly broken.
 お互いの意思が十分通わずに、精神的な負担が強いられる日々が続くと、被支援者ばかりか、支援者の精神にも影響をきたしてしまうことは、よく知られる現実となっている。 と It is a well-known reality that if each day's willingness to bear a mental burden continues without being able to communicate well with each other, it will affect not only the recipient but also the spirit of the supporter.
 このような緊急の課題に対応するように、被支援者へのケアを補助するための手法や手段が今日多く見受けられるが、必ずしも十分ではなく、上記問題は依然と解決されないでいる。 ・ To deal with such urgent issues, many techniques and means for assisting care for the supportees can be seen today, but they are not always sufficient, and the above problems are still not solved.
特開2015-96140号公報JP2015-96140A 特開2012-198726号公報JP2012-198726A
 従って、本発明は、被支援者と支援者とを相互につなぎ、お互いを補佐して、それぞれの精神的、身体的な負担を軽減する新たな支援システムを提供することを目的とするものである。 Accordingly, an object of the present invention is to provide a new support system for connecting a supportee and a supporter to each other and assisting each other to reduce their mental and physical burdens. is there.
 本発明は、介護または介助を受ける被支援者と、その被支援者への介護又は介助を行う支援者との間に少なくとも介在し、被支援者の健全な活性化を図り、被支援者のみならず支援者のQOL(Quality of Life)の低下を阻止するための支援システムを提供するものであり、当該システムは、被支援者の活動を感知可能な少なくとも一つの感知装置と、被支援者に五感のうちの少なくとも一つへの刺激を直接または間接的に提供する刺激発信装置と、上記感知装置および刺激発信装置と通信接続可能な情報処理装置とからなり、その情報処理装置は、感知装置から被支援者からの活動を受信し、刺激発信装置から発信する刺激に関する刺激データを生成するように構成されている。 The present invention is at least interposed between a supported person who receives care or assistance and a support person who provides care or assistance to the supported person, and promotes healthy activation of the supported person. In addition, the present invention provides a support system for preventing a decrease in QOL (Quality of Life) of a supporter, which includes at least one sensing device capable of sensing the activity of the supported person, and the supported person. A stimulus transmitting device that directly or indirectly provides stimulation to at least one of the five senses, and the sensing device and an information processing device communicably connected to the stimulus transmitting device. It is configured to receive the activity from the supportee from the device and generate stimulus data relating to the stimulus transmitted from the stimulus transmitting device.
 この感知装置と刺激発信装置とを同時に提供することで、刺激とその刺激応答とが相互に関連してデータとして蓄積され、あるいはより適正な時期と内容で刺激を被支援者に提供することができるようになる。 By providing the sensing device and the stimulus transmitting device at the same time, the stimulus and the stimulus response are stored as data in correlation with each other, or the stimulus can be provided to the supportee at a more appropriate time and content. become able to.
 さらに本発明は、感知した活動が被支援者の活動のうちの特異な活動であるかどうかを判断し、さらに、特異な活動であると判断したとき、当該特異な活動に対応する刺激を被支援者に提供するための刺激データを生成するように構成されている。 Furthermore, the present invention determines whether or not the sensed activity is a unique activity among the activities of the supportee, and when it is determined to be a unique activity, the subject receives a stimulus corresponding to the unique activity. It is configured to generate stimulus data for provision to a supporter.
 この構成により、システムは、被支援者の活動が特異な行動であるかどうかを判断し、その特異行動に対する適切な対応を自動的に決定して、被支援者に対して刺激を与えることが可能となる。また、本発明のシステムの利用により取得されるデータから被支援者の症例の進行の程度を把握することも可能となる。支援者がケアする場合にも、被支援者の行動がその症状に起因した行動であることが客観的に把握できるようになることから、被支援者への理解も進み、支援者自体の精神的な負担も軽減することが可能となる。 With this configuration, the system can determine whether the supportee's activity is a peculiar action, automatically determine an appropriate response to the peculiar action, and give a stimulus to the supportee. It becomes possible. It is also possible to grasp the degree of progress of the supportee's case from data acquired by using the system of the present invention. Even when the supporter takes care, it becomes possible to objectively understand that the behavior of the supportee is the behavior caused by the symptoms. It is possible to alleviate the burden.
 さらに本発明は、前記支援者が利用可能な第1のインタフェース装置からなる支援システムであり、上記第1のインタフェース装置は、情報処理装置と通信可能に構成され、例えば、パーソナルコンピュータ、スマートフォン、タブレット、情報処理端末等、とすることができる。 Furthermore, the present invention is a support system including a first interface device that can be used by the supporter, and the first interface device is configured to be communicable with an information processing device, for example, a personal computer, a smartphone, a tablet , An information processing terminal or the like.
 そして、被支援者に発信する刺激に関する刺激情報と、その刺激に対する被支援者の刺激応答である活動に関する情報の少なくとも一部を情報処理装置から受信し、支援者に提供できるように構成された第1のインタフェース装置を利用することで、この支援システムがどのようなケアを支援者を介さずに行っているかを確認することができるために、その介護等の負担が軽減される。 And it is configured so that at least a part of the stimulus information regarding the stimulus transmitted to the supportee and the information regarding the activity that is the stimulus response of the supportee to the stimulus can be received from the information processing apparatus and provided to the supporter. By using the first interface device, it is possible to check what kind of care the support system performs without going through the supporter, so that the burden of care or the like is reduced.
 また、この第1のインタフェース装置は、介護や介助の専門家や医師、被支援者との対話を可能とするために通信機能を有するように構成されていてもよい。支援システムの補助のもとに、被支援者との対話を可能とすることで、支援者の時間的負担も大きく軽減されることとなる。また、支援システムから被支援者への有効な刺激提供によって、被支援者の活動が改善することは、支援者の精神的余裕が図られるとともに、被支援者と支援者との対話によって、被支援者の症状がさらに緩和されることとなり得る。 In addition, the first interface device may be configured to have a communication function in order to enable interaction with a caregiver or assistance specialist, a doctor, or a supported person. By enabling dialogue with the supportee under the assistance of the support system, the time burden on the supporter is greatly reduced. In addition, improvement of the activities of the supportee by providing effective stimulus from the support system to the supportee provides a mental margin for the supporter, and the dialogue between the supportee and the supporter allows the person to receive support. Supporter symptoms may be further alleviated.
 また、支援システムから支援者に対して被支援者への対応のアドバイスを提供したり、あるいは逆に新たな刺激情報の選択を要求することも可能である。支援システムがその被支援者にとってはむしろ適性でない刺激を与えていた場合に、その修正も図ることができ、支援システムと支援者との有機的で補佐的な相互のサポートが可能となるのである。通常は、支援システムが自律的に働くことにより支援者が常時関与することを解放させるが、支援者とのコミュニケーションを図る必要がある場合、さらには、緊急に支援者を呼び出す必要が生じた場合に、第1のインタフェース装置を利用することが可能となる。 Also, it is possible to provide advice to the support person from the support system to the support person, or conversely request selection of new stimulus information. If the support system gives a stimulus that is rather unsuitable for the supportee, it can also be corrected, enabling organic and supportive mutual support between the support system and the supporter. . Usually, the support system is released autonomously by releasing the support system, but when it is necessary to communicate with the support person, or when it is necessary to call the support person urgently In addition, the first interface device can be used.
 さらに本発明では、支援システムの情報処理装置は、被支援者に与えた刺激とその与えた刺激に対する刺激応答となる前記被支援者の活動との関係に基づいて新たな刺激データを生成するように構成することができるため、被支援者の症状の内容や進行の程度、あるいは治療による改善に応じた適正な刺激を提供することが可能となる。 Furthermore, in the present invention, the information processing apparatus of the support system generates new stimulus data based on the relationship between the stimulus given to the supportee and the activity of the supportee that becomes a stimulus response to the given stimulus. Therefore, it is possible to provide an appropriate stimulus corresponding to the content of the symptom of the supportee, the degree of progression, or improvement by treatment.
 さらに本発明は、被支援者のパーソナルな情報を有し、当該パーソナルな情報に基づいて刺激データを生成するように構成された支援システムを提供する。 Furthermore, the present invention provides a support system configured to have personal information of a person to be supported and generate stimulation data based on the personal information.
 この構成により、本発明の支援システムは、パーソナルな情報に基づいた被支援者に固有の特異行動を判断でき、その結果として、その被支援者にとってより有効な刺激を与えることが可能となる。 With this configuration, the support system of the present invention can determine the specific behavior unique to the supportee based on personal information, and as a result, can provide more effective stimulation for the supportee.
 さらに、本発明は、情報処理装置が、被支援者の活動が被支援者のパーソナルな情報に基づいて特異か否かを判断するように構成することができる。例えば、被支援者が、身体障害を有していた場合、健常者に比べるとその動作が特殊であったり、あるいは日常的に大声をあげてしまっていたとしても、予めそのパーソナルな情報にその身体障害の情報を含んでいれば、健常者と比べてぎこちない動作や大声に対して特異な情報として誤って判断することが無くなり、より適切な支援行動を行うことが可能となるのである。 Furthermore, the present invention can be configured such that the information processing apparatus determines whether or not the activity of the supportee is unique based on personal information of the supportee. For example, if the supported person has a physical disability, even if the person's movement is special compared to a healthy person, or even if he / she makes a loud voice on a daily basis, the personal information will be If the information on the physical disability is included, it is not erroneously determined as information specific to a movement or loud voice that is awkward compared to a healthy person, and more appropriate support action can be performed.
 尚、この被支援者のパーソナルな情報は、第1のインタフェース装置を介して情報処理装置に提供するように構成することができる。 Note that the personal information of the supportee can be configured to be provided to the information processing device via the first interface device.
 さらに本発明は、パーソナルな情報に基づいて得られた刺激データによる刺激とその刺激応答である被支援者の活動を症例データとして蓄積し、その蓄積されたデータに基づきその後の刺激データを生成するようにしてもよい。
 このように症例データとして蓄積して利用することで、いずれはパーソナルな情報を必要とせず、支援システムがより自律的に刺激と刺激応答との関係に基づいて、先に与えた刺激をより改善した刺激に関する刺激データを生成する、という一連のループが形成され、より自律的な改善が図られる。被支援者への刺激発信とその刺激応答である活動との関連性を維持することは、症状の進行に対してもより適正な刺激生成を行うことができるばかりか、症状が緩和して改善に向かった場合の段階的な処置にも有効である。
Furthermore, the present invention accumulates the stimulus by the stimulus data obtained based on personal information and the activity of the supportee as the stimulus response as case data, and generates subsequent stimulus data based on the accumulated data. You may do it.
By accumulating and using case data in this way, no personal information is required, and the support system improves the previously applied stimulus more autonomously based on the relationship between the stimulus and the stimulus response. A series of loops for generating stimulus data related to the selected stimulus is formed, and more autonomous improvement is achieved. Maintaining the relationship between the stimulus delivery to the supportee and the activity that is the stimulus response can not only produce more appropriate stimulus for the progression of symptoms, but also alleviate the symptoms and improve It is also effective for a step-by-step treatment when heading to.
 さらに本発明では、被支援者は例えば、認知症、うつ、PTSD、多発性硬化症、パーキンソン病、摂食障害、統合失調、薬物依存、アルコール依存、強迫性障害、またはその他の介護及び/または介助を必要とする疾患を有し、支援システムは、認知症の行動または心理症状であるBPSDなど、疾患によって生じうる特異行動に関する情報を蓄積するものであり、感知した被支援者活動が、その蓄積した情報に基づきBPSD等の疾患による症状に対応した特異な行動であるかどうかを判断するように構成することができる。 Further in the present invention, the recipient may be, for example, dementia, depression, PTSD, multiple sclerosis, Parkinson's disease, eating disorders, schizophrenia, drug dependence, alcohol dependence, obsessive compulsive disorder, or other care and / or The support system has information on specific behavior that can be caused by the disease, such as BPSD, which is a dementia behavior or a psychological symptom. Based on the accumulated information, it can be configured to determine whether or not the behavior is unique corresponding to a symptom caused by a disease such as BPSD.
 認知症状を代表するように、精神的、認知的な疾患は今日大きな問題であり、本発明の支援システムは、その症状の進行を、例えば、BPSD等の疾患による異常行動などの症状と関連付けて把握できるために特に有効である。 As represented by cognitive symptoms, mental and cognitive diseases are a major problem today, and the support system of the present invention correlates the progression of symptoms with symptoms such as abnormal behavior due to diseases such as BPSD. It is particularly effective for grasping.
 さらに本発明の支援システムは、さらに被支援者への介護または介助の専門家または医師が利用可能な第2のインタフェース装置からなり、その第2のインタフェース装置は、例えば、パーソナルコンピュータ、スマートフォン、タブレット等の情報処理端末であり、上記専門家または医師が、被支援者および支援者の少なくともいずれかと通話を図るための通信機能を有するように構成することができる。 Further, the support system of the present invention further includes a second interface device that can be used by a caregiver or assistance specialist or doctor for the supportee, and the second interface device is, for example, a personal computer, a smartphone, a tablet, or the like. The above-mentioned specialist or doctor can be configured to have a communication function for making a call with at least one of the supportee and the supporter.
 さらに、本発明は、第2のインタフェース装置を介して、被支援者のパーソナルな情報の少なくとも一部と、情報処理装置によって生成された刺激データによる刺激と被支援者の当該刺激に対する刺激応答である活動の情報の少なくとも一部が専門家または医師に提供されるように構成することもできる。 Furthermore, the present invention provides at least a part of personal information of the supportee, a stimulus based on stimulus data generated by the information processing device, and a stimulus response to the supportee's stimulus via the second interface device. It can also be configured such that at least part of the information of an activity is provided to a specialist or doctor.
 支援システムの補助のもと、介護または介助の専門家または医師は、客観的に被支援者の行動や症状を把握できるばかりか、支援者とともに確認しながら被支援者に対してより効果的な支援を相談、提供できるようになることから、無為な支援による徒労を回避することも可能となる。 Under the assistance of the support system, a caregiver or assistance specialist or doctor can not only objectively grasp the behavior and symptoms of the supported person, but also be more effective for the supported person while checking with the supporter. Since it becomes possible to consult and provide support, it is possible to avoid labor due to unnecessary support.
 さらに本発明は、それぞれの被支援者に対して適正な介護や介助が行われるように、個々の疾患の種類、程度、治療経過などに対応した治療アルゴリズムを有したソフトウェアモジュールが複数用意される。その疾患は、例えば、認知症、うつ、PTSD、多発性硬化症、パーキンソン病、摂食障害、統合失調、薬物依存、アルコール依存、強迫性障害、またはその他の介護及び/または介助を必要とする疾患であり、上記支援システムは、それらの複数用意されたソフトウェアモジュールから少なくとも一つのモジュールに対応して実行するように構成されている。 Furthermore, the present invention provides a plurality of software modules having treatment algorithms corresponding to the type, degree, treatment course, etc. of each disease so that appropriate care and assistance are provided to each supportee. . The disease requires, for example, dementia, depression, PTSD, multiple sclerosis, Parkinson's disease, eating disorders, schizophrenia, drug dependence, alcoholism, obsessive compulsive disorder, or other care and / or assistance The support system is configured to execute corresponding to at least one of the plurality of software modules prepared.
 このような複数のソフトウェアモジュールを用意することで、症状の内容や、進行の程度、逆に治療による改善に応じて段階的な治療を行うことができる。そして、支援者からは現在どのような治療アルゴリズムに沿って支援を行っているか、あるいは将来的にどのような治療アルゴリズムで行えばよいかを把握できるために、従来のような、無作為に支援の活動を行うことで、方向性を見失って精神的な負担や苦痛が進んでしまう、という弊害から解放される。 By preparing such a plurality of software modules, it is possible to perform step-by-step treatment according to the contents of symptoms, the degree of progression, and conversely, improvement by treatment. And, in order to know what treatment algorithm is currently being supported by the supporter, or what kind of treatment algorithm should be used in the future, support is randomized as before. By doing this activity, you are freed from the harmful effects of losing your direction and increasing your mental burden and suffering.
 尚、このソフトウェアモジュールは、第1のインタフェース装置にダウンロードされて実行可能なモジュールとすることができ、そのダウンロードしたモジュールが機能するように、情報処理装置もそのモジュールに応じて動作するように構成される。 The software module can be a module that can be downloaded to the first interface device and executed, and the information processing device is configured to operate in accordance with the module so that the downloaded module functions. Is done.
本発明の一実施形態による支援システムの構成図である。It is a block diagram of the assistance system by one Embodiment of this invention. 図1の実施形態による支援システムで利用し得る活動感知装置10のハードウェア構成図の一例である。It is an example of the hardware block diagram of the activity sensing apparatus 10 which can be utilized with the assistance system by embodiment of FIG. 図1の実施形態による支援システムで使用し得る刺激発生装置20のハードウェア構成図の一例である。It is an example of the hardware block diagram of the irritation | stimulation apparatus 20 which can be used with the assistance system by embodiment of FIG. 図2および図3の活動感知装置10および刺激発生装置20の機能ブロックと、情報処理装置100との情報授受の関係を示す。The functional blocks of the activity sensing device 10 and the stimulus generation device 20 in FIGS. 2 and 3 and the information exchange relationship with the information processing device 100 are shown. 図1の情報処理装置100の機能ブロック図と各種外部機器とのインタフェースの概念図である。FIG. 2 is a functional block diagram of the information processing apparatus 100 of FIG. 1 and a conceptual diagram of an interface with various external devices. 感知活動処理部110の処理プロセスの一例である。It is an example of a processing process of the sensing activity processing unit 110. 刺激データ生成部120の処理プロセスの一例である。3 is an example of a processing process of a stimulus data generation unit 120. 支援者用情報処理端末50の機能ブロック図である。It is a functional block diagram of information processing terminal 50 for supporters. カスタマイズ用データ入力モード53への入力データの一例である。It is an example of the input data to the data input mode for customization 53. 専門家用情報処理端末60の機能ブロック図である。It is a functional block diagram of information processing terminal for professionals 60. 支援者用情報処理端末50に格納する支援者用アプリケーション(アプリ1~アプリm)と刺激発生装置20のモジュール化、そして活動感知装置10との関係図である。FIG. 4 is a diagram showing the relationship between the supporter applications (application 1 to application m) stored in the supporter information processing terminal 50, the stimulation generator 20 as a module, and the activity sensing device 10. 認知症患者に対しての感知活動処理部110の処理の一例を示す。An example of the process of the sensing activity process part 110 with respect to a dementia patient is shown. 認知症患者に対しての刺激データ生成部120の処理の一例を示す。An example of the process of the stimulus data generation part 120 with respect to a dementia patient is shown.
 本発明のシステム及び方法の一実施形態を図を参照して説明する。 An embodiment of the system and method of the present invention will be described with reference to the drawings.
 図1は、本発明の一実施形態である、支援システム1の全体構成図を示す。 FIG. 1 shows an overall configuration diagram of a support system 1 according to an embodiment of the present invention.
 支援システム1は、被支援者へのケアを支援するための情報処理装置100と、被支援者とのインタフェースを形成する一つまたは複数の活動感知装置10(1)~10(m)および一つまたは複数の刺激発生装置20(1)~20(n)とを有する。 The support system 1 includes an information processing apparatus 100 for supporting care of a supportee, and one or a plurality of activity sensing devices 10 (1) to 10 (m) and one that form an interface with the supportee. One or a plurality of stimulus generators 20 (1) to 20 (n).
 活動感知装置10(1)~10(m)および刺激発生装置20(1)~20(n)は、有線または無線通信によりルータ40に接続されている。ルータ40および情報処理装置100は、インターネットを代表するネットワーク90に接続されており、活動感知装置10(1)~10(m)および刺激発生装置20(1)~20(n)と情報処理装置100との間の電子的な情報通信を可能としている。 The activity sensing devices 10 (1) to 10 (m) and the stimulus generating devices 20 (1) to 20 (n) are connected to the router 40 by wired or wireless communication. The router 40 and the information processing apparatus 100 are connected to a network 90 that represents the Internet, and the activity sensing apparatuses 10 (1) to 10 (m), the stimulus generation apparatuses 20 (1) to 20 (n), and the information processing apparatus. Electronic information communication with 100 is possible.
 尚、付帯番号m、nは整数であり、説明を簡単にするために、活動感知装置10(1)~10(m)および刺激発生装置20(1)~20(n)をそれぞれ単に活動感知装置10、刺激発生装置20と称する。そして、活動感知装置10と刺激発生装置20とを合わせて被支援者インタフェースと簡略化して呼ぶ。 The incidental numbers m and n are integers, and for the sake of simplicity, the activity sensing devices 10 (1) to 10 (m) and the stimulus generators 20 (1) to 20 (n) are simply sensed. These are referred to as device 10 and stimulus generator 20. The activity sensing device 10 and the stimulus generation device 20 are collectively referred to as a supportee interface.
 この例では、情報処理装置100はインターネット90を介して被支援者インタフェースと遠隔で通信する構成を示しているが、この構成以外に、情報処理装置100は、被支援者インタフェースと専用線で電気的な通信を行うようにしてもよい。また。情報処理装置100は被支援者インタフェースにより近い位置に設けるようにしてもよい。さらに、情報処理装置100は、後述する各種機能が分散されて、複数の処理装置に割り当てるように構成し、それらが電気的に通信可能に接続されて、全体的に有機的に結合して所望の機能を実行するようにしてもよい。例えば、刺激発生装置20や、活動感知装置10の内部に情報処理装置100の一部の機能が分散して設けられるようにしてもよい。従って、情報処理装置は、図1に記載の配置には限定されない。 In this example, the information processing apparatus 100 is configured to remotely communicate with the supportee interface via the Internet 90. In addition to this configuration, the information processing apparatus 100 is electrically connected to the supportee interface and a dedicated line. Communication may be performed. Also. The information processing apparatus 100 may be provided at a position closer to the supportee interface. Furthermore, the information processing apparatus 100 is configured such that various functions to be described later are distributed and assigned to a plurality of processing apparatuses, which are electrically connected so as to be communicable and organically combined as a whole. The above function may be executed. For example, some functions of the information processing apparatus 100 may be provided in a distributed manner in the stimulus generation apparatus 20 or the activity sensing apparatus 10. Therefore, the information processing apparatus is not limited to the arrangement shown in FIG.
 情報処理装置100は、症状データシステム200と電気的な通信を行うこともできる。病状データシステム200は専用線によって情報処理装置100と接続するようにしてもよいが、インターネット90等のネットワークに接続するようにしてもよい。 The information processing apparatus 100 can also perform electrical communication with the symptom data system 200. The medical condition data system 200 may be connected to the information processing apparatus 100 by a dedicated line, but may be connected to a network such as the Internet 90.
 インターネット90には、支援者用情報処理端末50および専門家用情報処理端末60が接続可能であり、これらは、お互いの間で行う電気的な通信のほか、被支援者インタフェースや情報処理装置100との通信を行うことも可能である。先に述べたように、このネットワーク構成は例示であり、その機能を達成できるのであれば、多様なネットワークを利用することができる。 An information processing terminal 50 for supporters and an information processing terminal 60 for professionals can be connected to the Internet 90, and these are connected to the supportee interface and the information processing apparatus 100 in addition to electrical communication performed between them. It is also possible to perform communication. As described above, this network configuration is an example, and various networks can be used as long as the function can be achieved.
 図2を使用して活動感知装置10の構成について説明する。活動感知装置10は、無線または有線接続する為のインタフェース11と、活動感知素子12、コントローラ13、タイマ14、メモリ15を有する。 The configuration of the activity sensing device 10 will be described with reference to FIG. The activity sensing device 10 includes an interface 11 for wireless or wired connection, an activity sensing element 12, a controller 13, a timer 14, and a memory 15.
 インタフェース11は、活動感知装置10とルータ40等の外部機器との電気的な通信を行うためのインタフェースを提供するものである。 The interface 11 provides an interface for performing electrical communication between the activity sensing device 10 and an external device such as the router 40.
 活動感知素子12は、被支援者の活動を感知するための素子または要素(以下、要素も含め単に「素子」という)である。この素子は、例えば、音を感知するマイク、被支援者から発生されるものではないが、被支援者の種々の動作によって変化する可視光や赤外線などの光を感知するための光センサ、被支援者の動作によって生じる振動を検知するための振動センサ、人が座ったり、あるいは寝たりした場合の押圧を感知する圧電センサ等の圧力センサ、被支援者を検出する為の撮像装置またはカメラ、被支援者の心拍、呼吸数、活動量等を遠隔から検知するためのドップラーセンサなどである。その他、薬を被支援者に提供するための薬ディスペンサには、薬を取り出したかどうかが検知可能な圧電センサが予め設けられているために、その圧電センサを活動感知素子12として利用することも可能である。 The activity sensing element 12 is an element or element for sensing the activity of the supportee (hereinafter simply referred to as “element” including the element). This element is, for example, a microphone that senses sound, a light sensor that is not generated by the supported person, but that detects light such as visible light or infrared light that changes depending on various actions of the supported person, A vibration sensor for detecting vibration caused by a supporter's operation, a pressure sensor such as a piezoelectric sensor for detecting a pressure when a person is sitting or sleeping, an imaging device or a camera for detecting a supportee, This is a Doppler sensor for remotely detecting the heart rate, respiratory rate, activity level, etc. of the person being supported. In addition, since the medicine dispenser for providing medicine to the person to be supported is preliminarily provided with a piezoelectric sensor capable of detecting whether the medicine has been taken out, the piezoelectric sensor may be used as the activity sensing element 12. Is possible.
 活動感知装置10が受信対象とする被支援者の活動には、被支援者自体の活動、例えば被支援者の動作や声などのイベントのほか、その活動によって生じた何らかの事象、たとえば、被支援者の移動によって生じる音、リモコンの操作によって生じるTVやラジオをON,OFFのよる音声変化のイベント、被支援者が物を投げて何かにぶつかった時に生じる音のイベントなども含まれる。 The activity of the supportee to be received by the activity sensing device 10 includes the activity of the supportee itself, for example, an event such as a motion or voice of the supportee, or any event caused by the activity, for example, the supportee. Sound generated by the movement of a person, an event of a sound change caused by turning on or off a TV or radio caused by an operation of a remote controller, an event of a sound generated when a supported person throws an object and hits something.
 従って、活動感知装置10は、被支援者の活動を直接または間接的にイベントとして把握できる多様なセンサを利用することができる。さらに、このイベントには、被支援者が何も反応しない、という事象(無のイベント)をも感知対象に含むことができる。 Therefore, the activity sensing device 10 can use various sensors that can directly or indirectly grasp the activity of the supportee as an event. Furthermore, this event can also include an event (no event) that the supportee does not react at all to the sensing object.
 活動感知装置10にはタイマ14を有することが好ましい。タイマ14は、その被支援者の活動、すなわち、被支援者の活動によるイベント(感知可能な活動として、総称して「感知活動」という)を記録した時間を記録するためのものである。このタイマ14により、後に説明する刺激発生装置20によって発生した刺激の時間と対比することが可能となり、刺激発生イベントと活動イベントとの対応関係、因果関係の把握に役立つ。ただし、タイマ14は、必ずしも活動感知装置10内部のリアルタイムクロックなどのクロックデバイスに限定するものではなく、活動感知装置10において時間情報として得られるものであればよい。例えば、活動感知装置10の外部から時間データを得るようにしてもよく、コントローラ13が動作するための使用されるクロックのカウントからソフトウェア的に把握できるようにしてもよい。 The activity sensing device 10 preferably has a timer 14. The timer 14 is for recording the time of recording the activity of the supportee, that is, the event due to the activity of the supportee (collectively referred to as “detectable activity”). This timer 14 can be compared with the time of the stimulus generated by the stimulus generator 20 described later, and is useful for grasping the correspondence and causality between the stimulus occurrence event and the activity event. However, the timer 14 is not necessarily limited to a clock device such as a real-time clock inside the activity sensing device 10, and may be any one that can be obtained as time information in the activity sensing device 10. For example, time data may be obtained from the outside of the activity sensing device 10 or may be grasped by software from a count of clocks used for the operation of the controller 13.
 メモリ15は、活動感知素子12が感知した被支援者からの活動イベント(感知活動)をデータとして格納する。データはタイマ14によって時間情報が付加されて、その活動データに対応する活動イベントの発生時刻を把握することが可能となる。 The memory 15 stores an activity event (sensing activity) from the supported person sensed by the activity sensing element 12 as data. The time information is added to the data by the timer 14, and the time of occurrence of the activity event corresponding to the activity data can be grasped.
 コントローラ13は、活動感知装置10の動作を制御するものであり、情報処理装置100からの要求を受信し、その要求に応じて活動感知素子12によって被支援者の活動を感知して内部にデータとして受信し、得られた感知活動のデータを情報処理装置100に返信するなど、活動感知装置10の機能を発揮するように制御する。 The controller 13 controls the operation of the activity sensing device 10, receives a request from the information processing device 100, senses the activity of the supportee by the activity sensing element 12 in response to the request, and internally stores data. And the control of the activity sensing device 10 is performed such as returning the obtained sensing activity data to the information processing device 100.
 図3を使用して刺激発生装置20の構成について説明する。刺激発生装置20は、無線または有線接続する為のインタフェース21と、刺激発生素子22、コントローラ23、タイマ24、メモリ25を有する。 The configuration of the stimulus generator 20 will be described with reference to FIG. The stimulus generator 20 includes an interface 21 for wireless or wired connection, a stimulus generator 22, a controller 23, a timer 24, and a memory 25.
 インタフェース21は、刺激発生装置20とルータ40等の外部機器との通信を行うためのインタフェースを提供するものである。 The interface 21 provides an interface for performing communication between the stimulus generator 20 and an external device such as the router 40.
 刺激発生素子22は、被支援者に対して刺激を与えるための素子である。刺激には、被支援者に直接的に働きかける刺激のほか、間接的に被支援者に働きかける刺激も含む。従って、刺激発生素子22は、物理的な事象を被支援者に直接または間接的に提供するための素子や装置を含む。 The stimulus generating element 22 is an element for giving a stimulus to the supportee. The stimulus includes a stimulus that works directly on the supportee and a stimulus that works indirectly on the supportee. Therefore, the stimulus generating element 22 includes an element or a device for directly or indirectly providing a physical event to the supportee.
 刺激発生素子22の例として、音を発生するスピーカや、あるいは被支援者に光を照射するランプのほか、すでに施設されている照明に対して指令して照明をONするなど、被支援者に動作を促すためのもの、温度を生きているかのように変化させるためのヒータ等を内蔵したぬいぐるみ等である。 Examples of the stimulus generating element 22 include a speaker that generates sound, a lamp that irradiates light to the supported person, and a command to the already installed lighting to turn on the lighting. A stuffed animal with a built-in heater or the like for urging the operation and changing the temperature as if alive.
 刺激発生装置20もタイマ24を有することが好ましい。タイマ24は、情報処理装置100から受けた指定時間に刺激を発生するなど、刺激発生のスケジューリングに有効である。そして、刺激発生後に、活動感知装置10によって感知する被支援者の活動イベント(感知活動)の感知時間と対比することが可能となり、刺激発信イベントと活動イベントとの対応関係、因果関係の把握に役立つ。ただし、タイマ24はタイマ14と同様に、必ずしも刺激発生装置20内部のリアルタイムクロックなどのクロックデバイスに限定するものではなく、刺激発生装置20において時間情報として得られるものであればよい。例えば、刺激発生装置20の外部にある情報処理装置100等の外部システムから時間データを得るようにしてもよく、コントローラ23が動作するための使用されるクロックのカウントから把握できるようにしてもよい。 It is preferable that the stimulus generator 20 also has a timer 24. The timer 24 is effective for scheduling the generation of a stimulus, such as generating a stimulus at a specified time received from the information processing apparatus 100. Then, it becomes possible to compare with the sensing time of the activity event (sensing activity) of the supportee sensed by the activity sensing device 10 after the occurrence of the stimulus, and to grasp the correspondence and causal relationship between the stimulus transmission event and the activity event. Useful. However, like the timer 14, the timer 24 is not necessarily limited to a clock device such as a real-time clock inside the stimulus generator 20, and may be anything that can be obtained as time information in the stimulus generator 20. For example, time data may be obtained from an external system such as the information processing apparatus 100 outside the stimulus generator 20, or may be grasped from the count of clocks used for the operation of the controller 23. .
 メモリ25は、刺激発生素子22から発生する刺激に対応する刺激データを格納する。刺激データはタイマ24による時間と関連付けることで、刺激発生のスケジューリングが可能となる。 The memory 25 stores stimulus data corresponding to the stimulus generated from the stimulus generating element 22. Stimulation data can be associated with time by the timer 24 to schedule stimulation generation.
 コントローラ23は、例えば、刺激発生装置20の動作を制御するものであり、情報処理装置100からの要求を受信し、その要求に応じて刺激発生素子22からの刺激を発生させ、さらに刺激発生を行ったことを情報処理装置100に通知するなど、刺激発生装置20の機能を発揮するように制御する。 For example, the controller 23 controls the operation of the stimulus generator 20, receives a request from the information processing apparatus 100, generates a stimulus from the stimulus generator 22 in response to the request, and further generates a stimulus. Control is performed so that the function of the stimulus generator 20 is exhibited, such as notifying the information processing apparatus 100 of the fact that it has been performed.
 図4は、活動感知装置10および刺激発生装置20と情報処理装置100との関係を概略的に示したものである。 FIG. 4 schematically shows the relationship between the activity sensing device 10, the stimulus generating device 20, and the information processing device 100.
 被支援者からの活動イベント(感知活動)を感知すると、活動感知装置10は、情報処理装置100に対して、その活動感知があったことを通知し、どのような活動かを示すデータを示す感知活動データを送信する。もちろん、どの時期にそれを通知するかや、どのような形式でどの時間に感知活動データを送信するかは、その使用する処理に応じて適宜決め得る。 When detecting an activity event (sensing activity) from the supportee, the activity sensing device 10 notifies the information processing device 100 that the activity has been sensed and shows data indicating what kind of activity it is. Send sensory activity data. Of course, it is possible to appropriately determine at what time to notify it and in what format and at what time to transmit the sensing activity data according to the processing to be used.
 活動感知装置10の一連の処理を可能とするために、活動感知装置10は、装置を一意に識別可能な装置識別子F11、活動感知制御F12、そして活動感知通知F13の機能を有する。装置識別子F11は、複数の活動感知装置10のなかから装置を特定するために使用される。情報処理装置100は、装置識別子を使用することで活動感知装置10を特定し、活動感知装置10はその装置識別子によって自らが情報処理装置100によって特定されたものであるかどうかを決定でき、これによって、特定された活動感知装置10は、情報処理装置100等の外部装置との協働動作が可能となる。 In order to enable a series of processing of the activity sensing device 10, the activity sensing device 10 has functions of a device identifier F11, an activity sensing control F12, and an activity sensing notification F13 that can uniquely identify the device. The device identifier F11 is used to specify a device from among the plurality of activity sensing devices 10. The information processing apparatus 100 identifies the activity sensing device 10 by using the device identifier, and the activity sensing device 10 can determine whether or not the activity sensing device 10 is identified by the information processing device 100 based on the device identifier. Thus, the identified activity sensing device 10 can cooperate with an external device such as the information processing device 100.
 さらに、活動感知制御F12は、情報処理装置100からの感知要求に応じて活動感知装置10の動作を制御する機能を有し、活動感知通知F13は、情報処理装置100に対して、活動感知があったことを通知し、その活動データを送信する機能を有する。
尚、情報処理装置100からの感知要求には、何時感知すべきか示す感知スケジュールに関するデータを含んでも良く、活動感知制御F12によって、所定のスケジュール時間に活動を感知する。
Furthermore, the activity sensing control F12 has a function of controlling the operation of the activity sensing device 10 in response to a sensing request from the information processing device 100, and the activity sensing notification F13 indicates that the activity sensing device F has activity sensing. It has a function of notifying that there has been, and transmitting the activity data.
The sensing request from the information processing apparatus 100 may include data related to a sensing schedule indicating when to sense, and the activity is sensed at a predetermined schedule time by the activity sensing control F12.
 刺激発生装置20は、情報処理装置100から刺激発生要求と発生すべき刺激データを受けると、被支援者に対して刺激発生を行う。尚、すでに説明したとおり、刺激発生には被支援者に直接刺激を与えるもの以外に、被支援者に間接的に刺激を与えるための刺激発生も含む。また、刺激要求には、何時刺激を発生するかを示すスケジュールに関するデータを有することもできる。 When receiving the stimulus generation request and the stimulus data to be generated from the information processing apparatus 100, the stimulus generator 20 generates a stimulus for the supportee. As already described, the generation of a stimulus includes the generation of a stimulus for indirectly giving a stimulus to the supportee, in addition to the stimulus directly giving the supportee. The stimulus request may also include data relating to a schedule indicating when the stimulus is generated.
 刺激発生装置20から刺激発生を行った場合、刺激発生装置20は、情報処理装置100に対して、その発生があったことを通知するための刺激発生イベント通知を発行し、発生した刺激の内容を発生刺激データとして送信する。刺激イベント通知または発生刺激データには、刺激発生を行った時刻をタイムスタンプとして添付することができる。 When a stimulus is generated from the stimulus generator 20, the stimulus generator 20 issues a stimulus occurrence event notification for notifying that the occurrence has occurred to the information processing apparatus 100, and details of the generated stimulus Is transmitted as developmental stimulus data. The time at which the stimulus is generated can be attached to the stimulus event notification or the generated stimulus data as a time stamp.
 刺激発生要求を受けて所定の装置から刺激を発生し、そして刺激発生したことのイベント通知を行うために、刺激発生装置20は、刺激発生装置20(1)~20(n)の各装置を識別可能な装置識別子F21、刺激発生制御F22、そして刺激発生イベント通知F23の機能を有する。 In order to generate a stimulus from a predetermined device in response to a stimulus generation request and to notify the event that the stimulus has occurred, the stimulus generation device 20 uses each of the stimulus generation devices 20 (1) to 20 (n). It has functions of an identifiable device identifier F21, a stimulus generation control F22, and a stimulus generation event notification F23.
 図5乃至図7を使用して情報処理装置100について説明する。 The information processing apparatus 100 will be described with reference to FIGS.
 図5は情報処理装置100の機能ブロック図を示す。情報処理装置100は、感知活動処理部110と、刺激データ生成部120、症状データ取得/蓄積処理部130、カスタマイズ用データ取得/蓄積処理部140、支援者用情報処理端末インタフェース150、および専門家用情報処理端末インタフェース160を有する。 FIG. 5 shows a functional block diagram of the information processing apparatus 100. The information processing apparatus 100 includes a sensing activity processing unit 110, a stimulus data generation unit 120, a symptom data acquisition / accumulation processing unit 130, a customization data acquisition / accumulation processing unit 140, a supporter information processing terminal interface 150, and a specialist It has an information processing terminal interface 160.
 感知活動処理部110は、活動感知装置10より受信した感知活動データを解析して、活動データが何らかの特異行動を示しているかどうかを判断するための処理部であり、図6に示す活動データ解析F111と、特異行動解析F112と、個別解析F113と、症状事例追加F114、そして特異行動判断F115の機能を有することができる。 The sensing activity processing unit 110 is a processing unit for analyzing the sensing activity data received from the activity sensing device 10 to determine whether or not the activity data indicates any specific behavior, and the activity data analysis shown in FIG. The functions of F111, specific behavior analysis F112, individual analysis F113, symptom case addition F114, and specific behavior determination F115 can be provided.
 活動データ解析F111は、活動感知装置10によって感知したデータを受信し、そのデータの中で、被支援者にとって生じた活動データであるかどうかを解析、抽出する。例えば、感知したデータが音声データの場合に、その音声データに各種の雑音が混入する場合がある。その場合に、その雑音を除去し、被支援者の音声部分のみを抽出することで、被支援者の活動データを特定する。他の例では、感知したデータが、動画データであった場合には、その動画データの中から被支援者の画像を抽出して、その動作を活動データとして特定する。ここで、活動感知装置10の固有の装置識別子F11に対応して各活動感知装置10が受信可能な活動種別は、情報処理装置100によって管理されているため、どの種類の活動データをどの活動感知装置10から受け取ることができるかは、活動感知装置10の固有の装置識別子F11によって特定することが可能となる。もっとも、この図6では、活動データ解析F111は感知活動処理部110の内部に機能として設けられて該当する活動データを抽出しているが、ネットワークを介して他の処理装置にその処理を依頼するようにしてもよい。以下で説明する感知活動処理部110および刺激データ生成部120の他の各機能についても同様である。 The activity data analysis F111 receives the data sensed by the activity sensing device 10, and analyzes and extracts whether the data is activity data generated for the supportee. For example, when the sensed data is audio data, various noises may be mixed in the audio data. In that case, the activity data of the supportee is specified by removing the noise and extracting only the voice part of the supportee. In another example, when the sensed data is moving image data, an image of the supportee is extracted from the moving image data, and the operation is specified as activity data. Here, since the activity types that can be received by each activity sensing device 10 corresponding to the unique device identifier F11 of the activity sensing device 10 are managed by the information processing device 100, what kind of activity data is used for which activity sensing. Whether it can be received from the device 10 can be specified by the unique device identifier F11 of the activity sensing device 10. However, in FIG. 6, the activity data analysis F111 is provided as a function in the sensing activity processing unit 110 to extract the corresponding activity data, but requests other processing devices to process it via the network. You may do it. The same applies to other functions of the sensing activity processing unit 110 and the stimulus data generation unit 120 described below.
 活動データ解析F111によって抽出した活動データは、特異行動判断F115に送るようにしてもよい。特異行動判断F115は、活動データに特異な行動を示すデータが含まれていないかどうかを判断する。例えば、活動データが音声データの場合には、ある継続時間に所定の音量以上の音声データが入っていないかどうかを判断し、もし入っていれば、その活動データは特異な活動データであると判断する。また、活動データが表情画像データの場合には、顔に関する所定の表情アルゴリズムによりある継続時間の間通常状態とは異なる表情画像データかどうかを判断する。また、活動データが加速度データの場合、ぬいぐるみ等に加速度を感知するセンサを内蔵し、そのぬいぐるみに所定以上の加速度が生じたことが感知されたかどうかを判断する。また、活動データが映像データの場合には、ある継続時間に所定のアルゴリズムにより通常とは異なる動きのパターン、例えば、苦しむ状態を示す姿勢パターンや動作パターンかどうかを判断する。 The activity data extracted by the activity data analysis F111 may be sent to the specific behavior determination F115. The specific action determination F115 determines whether or not data indicating a specific action is not included in the activity data. For example, when the activity data is voice data, it is determined whether or not there is voice data of a predetermined volume or more in a certain duration, and if so, the activity data is peculiar activity data. to decide. If the activity data is facial expression image data, it is determined whether the facial expression image data is different from the normal state for a certain duration by a predetermined facial expression algorithm for the face. If the activity data is acceleration data, a sensor for detecting acceleration is incorporated in the stuffed toy or the like, and it is determined whether or not the stuffed toy has been sensed as having a predetermined acceleration or more. Further, when the activity data is video data, it is determined whether or not the movement pattern is different from the normal pattern, for example, the posture pattern or the motion pattern indicating the suffering state by a predetermined algorithm during a certain duration.
 もちろん、以上は例示であって、どのような事象が特異な活動データであると判断するかは、任意に決めることができる。この判断を行うための比較の基礎となるデータは、例えば、病状データベースを格納するようにした外部ストレージ220から取得することもできるし、あるいは情報処理装置100自身に予め設定されて、図示しないメモリに格納しておいてもよい。 Of course, the above is an example, and what event is judged to be unique activity data can be arbitrarily determined. The data used as the basis for comparison for making this determination can be acquired from, for example, the external storage 220 configured to store the disease state database, or is set in advance in the information processing apparatus 100 itself and is not shown in the figure. You may store in.
 活動データ解析F111によって解析された活動データは、特異行動解析F112に送るようにしてもよい。特異行動解析F112では、活動データをより詳細に解析して特異行動の判断データとして利用可能かどうかを判断する部分である。例えば、ある感知した音声データの変化に対して、その関連する事象となるデータを症状データ取得処理部131を介して、病状データシステム200の外部ストレージ220から得るようにする。より具体的な例としては、活動データ解析F111によって解析された音声が、被支援者の罵声や叫び、といった特徴を有していた場合に、その罵声や叫びに関連した事象としてのデータ、加速度データの場合には物を投げた場合等の急加速に関するデータ、表情画像データの場合には、悲しみ、怒りに関するデータ、そして、姿勢の映像データの場合には、その姿勢に関するデータ、被支援者の歩行の映像の場合には歩行パターンに関するデータ、を病状データシステム200から症状データ取得処理部131を介して得る。 The activity data analyzed by the activity data analysis F111 may be sent to the specific behavior analysis F112. In the specific behavior analysis F112, the activity data is analyzed in more detail to determine whether or not the data can be used as the determination data for the specific behavior. For example, for a sensed change in audio data, data as an associated event is obtained from the external storage 220 of the medical condition data system 200 via the symptom data acquisition processing unit 131. As a more specific example, when the voice analyzed by the activity data analysis F111 has characteristics such as a shout or shout of the supportee, the data, acceleration as an event related to the shout or shout In the case of data, data on rapid acceleration such as throwing an object, in the case of facial expression image data, data on sadness and anger, and in the case of video data of posture, data on the posture, supported person In the case of an image of walking, data regarding the walking pattern is obtained from the medical condition data system 200 via the symptom data acquisition processing unit 131.
 症状データシステム200には、その罵声や叫びに対応した音声データ、悲しみや怒りに関する映像データ、姿勢に対応した多様なポーズ、例えば、転倒した状態に関する映像データ、歩行パターン等を蓄積することで、特異行動解析F112による判断のための分類データとして利用されるようにすることができる。このデータをもとに、特異行動解析F112は、この罵声や叫び、悲しみや怒り、姿勢、歩行パターン等に関するデータが、特異行動の判断のための分類データとして使用し得るものであるかどうかを判断する。そして、特異行動の判断のために使用できるデータであると判断した場合には、活動データ解析F111によって処理された特異行動の判断に利用可能なデータを特異行動判断F115に送ることができる。 The symptom data system 200 stores voice data corresponding to the hoarseness and cry, video data related to sadness and anger, various poses corresponding to postures, for example, video data related to a fallen state, walking patterns, etc. It can be used as classification data for determination by the specific behavior analysis F112. Based on this data, the peculiar behavior analysis F112 determines whether the data related to the hoarseness, cry, sadness, anger, posture, walking pattern, etc. can be used as classification data for judging peculiar behavior. to decide. When it is determined that the data can be used for the determination of the specific action, the data usable for the determination of the specific action processed by the activity data analysis F111 can be sent to the specific action determination F115.
 活動データ解析F111によって得られたデータがどのような種類のデータに該当するかが特異行動解析F112では判断できない場合には、症状データ取得処理部131にそのデータを送信し、病状データシステム200によってそのデータが特異行動の判断として使用できるカテゴリのデータであるかどうかを得るようにしてもよい。このように、症状データ取得処理部131は、特異行動として判断を行うためのデータに該当するかどうかを外部データベースに問い合わせてその情報を取得するのに役立つ。 If the specific behavior analysis F112 cannot determine what kind of data the data obtained by the activity data analysis F111 corresponds to, the data is transmitted to the symptom data acquisition processing unit 131, and the disease state data system 200 You may make it acquire whether the data are the data of the category which can be used as judgment of peculiar action. As described above, the symptom data acquisition processing unit 131 is useful for inquiring an external database as to whether or not the data corresponds to data for making a determination as a specific action and acquiring the information.
 特異行動判断F115は、例えば、特異行動として判断されたその罵声や叫びのパターンや強弱、何度も同じ歩行パターンを繰り返す等から、特異行動であるかどうかを判断する。先に説明したとおり、この判断を行うための比較の基礎となるデータは、例えば、症状データ取得処理部131を介して外部ストレージ220から取得することもできるし、あるいは情報処理装置100自身に予め設定されて、図示しないメモリに格納しておいてもよい。また、情報処理装置100は、既知のあるいは将来発展する人工知能技術を利用して特異行動を判断するようにしてもよい。また、症状データ取得処理部131を介して、外部ストレージ220から特異行動の判断基準となるデータを取得し、それによって判断を行うようにしてもよい。また、症状データ取得処理部131から得られる症状データやカスタマイズ用データ取得部140から得られるカスタマイズ用データの内容によっては、その特異行動が被支援者のどのような要求により出された特異行動であるかを判断することも可能となる。例えば、支援者とのコミュニケーションを図りたいことを訴える種別の特異行動であったり、あるいは排泄等の生理的な問題によって発せられる特異行動といったような種別であり、そのデータを一般的なデータとして、あるいは個別のデータとして、外部ストレージ220やカスタマイズ用固有情報ストレージ190に蓄積することで、より精度の高い判断とそれに伴う刺激対応を行うことが可能となる。 The unique behavior determination F115 determines whether or not the behavior is unique from, for example, the hoarseness and cry patterns and strengths determined as the specific behavior, the same walking pattern repeated many times, and the like. As described above, the data used as a basis for comparison for making this determination can be acquired from the external storage 220 via the symptom data acquisition processing unit 131, or can be stored in advance in the information processing apparatus 100 itself. It may be set and stored in a memory (not shown). Further, the information processing apparatus 100 may determine the specific behavior by using a known or future artificial intelligence technology. In addition, data serving as a criterion for determining specific behavior may be acquired from the external storage 220 via the symptom data acquisition processing unit 131, and a determination may be made based on the acquired data. Further, depending on the content of the symptom data obtained from the symptom data acquisition processing unit 131 and the customization data obtained from the customization data acquisition unit 140, the specific behavior may be a specific behavior issued by any request of the supportee. It is also possible to determine whether it exists. For example, it is a type of peculiar behavior that appeals to communicate with a supporter, or a peculiar behavior caused by physiological problems such as excretion, and the data is general data, Alternatively, by accumulating as individual data in the external storage 220 or the customizing unique information storage 190, it becomes possible to perform a more accurate determination and a corresponding stimulus.
 活動データ解析F111に受信する感知活動データは一つに限らず、複数の活動感知装置10から得た異なる種類の活動データでも良い。例えば、画像データと音声データとを活動データ解析F111で受信し、その両データを特異行動解析F112に送る。画像データと音声データの組み合わせの例としては、部屋に被支援者以外には誰もいない画像データと、その中で誰かと会話を続ける音声データであり、特異行動解析F112は、その組み合わせて判断し、その行動が特異行動の判断対象であるかどうかを特定する。このような2種類以上の感知活動データの他の例としては、罵声を示す音声データと暴力行為を示す映像データや、苦しむ映像データと異常な呼吸数を示すドップラーセンサからのデータなどが挙げられるが、これに限定されるものではない。 The sensing activity data received by the activity data analysis F111 is not limited to one, but may be different types of activity data obtained from a plurality of activity sensing devices 10. For example, image data and audio data are received by the activity data analysis F111, and both data are sent to the specific behavior analysis F112. An example of a combination of image data and audio data is image data in which there is no one other than the supportee in the room, and audio data in which conversation continues with someone in the room, and the singular behavior analysis F112 determines the combination. Then, it is specified whether or not the action is a judgment target of the specific action. Other examples of such two or more types of sensing activity data include voice data indicating hoarseness and video data indicating violent behavior, video data suffering and data from a Doppler sensor indicating abnormal respiratory rate, and the like. However, the present invention is not limited to this.
 特異行動解析F112によって解析されたデータは、個別解析F113に送るようにしてもよい。また、活動データ解析F111から解析した活動データを特異行動解析F112に送らず、直接個別解析F113に送るようにしてもよい。この個別解析F113は、特異行動判断F115と合わさって、その被支援者に特有の行動をもとに特異行動の解析を行い、その被支援者に応じた特異行動かどうかを判断するものである。例えば、その人固有の動作パターンや音声パターンなどを有する場合があるが、その特徴的な動作パターンや音声パターンに異常が生じているかどうかをみれば、その被支援者に変化が生じていることの判断に有用である。症状事例追加F114は、得られたデータから、特徴的な行動パターンが何であるかどうかをカスタマイズ用データ取得/蓄積処理部140を介して得られたカスタマイズ用固有情報ストレージ190のデータをもとに抽出して、特徴的な行動に対応するデータを特定する。従って、この特徴的な動作は、カスタマイズ用固有情報ストレージ190に予め登録され、判断の基礎データとして利用できるようにしている。カスタマイズ用データとしては、被支援者固有のパーソナルな情報が有用であり、それによって、特異行動として判断すべきでない活動が特異行動とされることから回避できる。例えば、被支援者が難聴等の身体障害を有していた場合では、通常、声が一般的に大きくなりがちであるが、その情報をパーソナルな情報として蓄積していれば、その大声によって特異行動と判断されないようにすることも可能である。 The data analyzed by the specific behavior analysis F112 may be sent to the individual analysis F113. Further, the activity data analyzed from the activity data analysis F111 may be sent directly to the individual analysis F113 without being sent to the specific behavior analysis F112. This individual analysis F113 is combined with the specific behavior determination F115 to analyze the specific behavior based on the behavior specific to the supported person and determine whether the specific action is appropriate for the supported person. . For example, there may be movement patterns and voice patterns that are unique to the person, but if there is an abnormality in the characteristic movement pattern or voice pattern, the person being supported has changed. It is useful for judgment. The symptom case addition F114 determines whether or not the characteristic behavior pattern is from the obtained data based on the data in the customization specific information storage 190 obtained through the customization data acquisition / accumulation processing unit 140. Extract and identify data corresponding to characteristic behavior. Therefore, this characteristic operation is registered in advance in the customizing unique information storage 190 so that it can be used as basic data for determination. As the data for customization, personal information unique to the supportee is useful, so that an activity that should not be determined as a specific behavior can be avoided as a specific behavior. For example, if the person being supported has a physical disability such as hearing loss, the voice generally tends to become louder. However, if the information is stored as personal information, the loudness is peculiar. It is also possible not to be judged as an action.
 個別解析F113によって特定された特徴的なデータは特異行動判断F115に送られ、特異行動判断F115では、そのデータが特異行動であるかどうかを判断する。データが特異行動であるかどうかの基準となるデータは、カスタマイズ用固有情報ストレージ190から取得するようにしてもよく、あるいはあらかじめその被支援者の特徴を把握して情報処理装置100自身に設定して、図示しないメモリに格納しておいてもよい。 The characteristic data specified by the individual analysis F113 is sent to the specific behavior determination F115, and the specific behavior determination F115 determines whether or not the data is specific behavior. Data serving as a reference for determining whether or not the data is specific behavior may be acquired from the customizing unique information storage 190, or may be set in the information processing apparatus 100 by grasping the characteristics of the supportee in advance. It may be stored in a memory (not shown).
 図6において、特異行動解析F112で解析したデータは個別解析F113を経ずに直接特異行動判断F115に送るようにしてもよい。また、活動データ解析F111で解析したデータは、特異行動解析F112を経ないで、個別解析F113に送るようにしてもよい。 In FIG. 6, the data analyzed by the specific behavior analysis F112 may be sent directly to the specific behavior determination F115 without going through the individual analysis F113. The data analyzed by the activity data analysis F111 may be sent to the individual analysis F113 without going through the specific behavior analysis F112.
 特異行動解析F112や個別解析F113で得られたデータは、症状事例として蓄積するために、症状事例追加F114に送られて症状データ蓄積処理部132やカスタマイズ用データ蓄積処理部142を介して、症状データシステム200の外部ストレージ220やあるいは、カスタマイズ用固有情報ストレージ190に蓄積するようにしてもよい。尚、図6には示されていないが、特異行動解析F112から得られたデータを個別解析F113を介さずに、症状事例追加F114に送るようにしてもよい。 The data obtained in the specific behavior analysis F112 or the individual analysis F113 is sent to the symptom case addition F114 to be accumulated as a symptom case, and the symptom data accumulation processing unit 132 or the customization data accumulation processing unit 142 You may make it accumulate | store in the external storage 220 of the data system 200, or the specific information storage 190 for customization. Although not shown in FIG. 6, the data obtained from the specific behavior analysis F112 may be sent to the symptom case addition F114 without going through the individual analysis F113.
 特異行動判断F115において特異行動を判断された場合には、その特異行動データは感知活動処理部110から刺激データ生成部120へと送られる。 When the specific action is determined in the specific action determination F115, the specific action data is sent from the sensing activity processing unit 110 to the stimulus data generation unit 120.
 図7を参照して刺激データ生成部120の機能を説明する。 The function of the stimulus data generation unit 120 will be described with reference to FIG.
 刺激データ生成部120は、特異行動データからどのような刺激を発生すべきかを判断し、その刺激データを生成して関連する刺激発生装置20に送り、その特定した刺激発生装置20を介して刺激データに対応した刺激を発生するように機能する処理部である。刺激データ生成部120は、特異行動データF121と、対応刺激解析F122と、個別対応刺激解析F123、そして対応刺激データ生成F124とを有することができる。 The stimulus data generation unit 120 determines what kind of stimulus should be generated from the specific behavior data, generates the stimulus data, sends the stimulus data to the related stimulus generation device 20, and sends the stimulus via the specified stimulus generation device 20. It is a processing unit that functions to generate a stimulus corresponding to data. The stimulus data generation unit 120 can include specific behavior data F121, corresponding stimulus analysis F122, individual corresponding stimulus analysis F123, and corresponding stimulus data generation F124.
 特異行動データF121は、特異行動データを受信する。ただし、対応刺激データ生成F124は、日常のレギュラーな又はイレギュラーな刺激が刺激発生装置20を介して発生できるように、特異行動データの受信がなくても刺激データを生成することが可能である。 The unique behavior data F121 receives unique behavior data. However, the corresponding stimulus data generation F <b> 124 can generate stimulus data without receiving specific behavior data so that a daily regular or irregular stimulus can be generated via the stimulus generator 20. .
 特異行動データは、対応刺激解析F122および個別対応刺激解析F123を経ずに、直接対応刺激データ生成F124に送るようにしてもよい。対応刺激データ生成F124は、特異な行動であるとして判断されたその特異データから、対応刺激データを生成する。例えば、特異データに含むことのできるタイムスタンプとして機能する時間情報から、ある時間になると特異行動を起こす兆候があると判断されると、対応刺激データ生成F124は、その時間に先立って、特異行動の発生を緩和させるための刺激を発生させるための対応刺激データを生成する。 The unique behavior data may be sent directly to the corresponding stimulus data generation F124 without passing through the corresponding stimulus analysis F122 and the individual corresponding stimulus analysis F123. Corresponding stimulus data generation F124 generates corresponding stimulus data from the specific data determined to be the specific action. For example, when it is determined from the time information that functions as a time stamp that can be included in the specific data that there is a sign that the specific action will occur at a certain time, the corresponding stimulus data generation F124 prior to that time, the specific stimulus data generation F124 Corresponding stimulus data for generating a stimulus for alleviating the occurrence of the above is generated.
 そして、その生成された対応刺激データは、刺激の種類に応じて特定された刺激発生装置20に送信されて、その対応刺激データに基づいて刺激が発生される。 The generated corresponding stimulus data is transmitted to the stimulus generator 20 specified according to the type of the stimulus, and a stimulus is generated based on the corresponding stimulus data.
 図6と図7とを合わせて参照すると、感知活動処理部110は、この刺激発生に対して行動を感知することができ、刺激データ生成部120との間でいわゆる帰還ループを形成していることが明らかである。従って、情報処理装置100は、その発生した刺激が有効であったかどうかを判断することも可能となる。また、このループを継続することで、段階的に変化する刺激応答である感知活動に対して柔軟に対応した刺激データを生成することができる。 Referring to FIG. 6 and FIG. 7 together, the sensing activity processing unit 110 can sense a behavior with respect to this stimulus generation, and forms a so-called feedback loop with the stimulus data generation unit 120. It is clear. Therefore, the information processing apparatus 100 can also determine whether the generated stimulus is effective. Further, by continuing this loop, it is possible to generate stimulus data flexibly corresponding to a sensing activity that is a stimulus response that changes stepwise.
 図7の刺激データ生成部120に送られる特異行動データは、特異行動として判断されなかった行動データを含むことができるし、あるいは特異行動として判断されなかった行動データのみであってもよい。特異行動データF121は、その特異行動が生じなかったデータを、その対応刺激データ生成で生成された対応刺激データと関連付けて症状データ蓄積処理部132を介して病状データシステム200の外部ストレージ220や、カスタマイズ用固有情報ストレージ190へと送り、改善された対応刺激として蓄積することができる。尚、図6および図7のフィードバックの機能図は事例であり、この構成には限定されないことはいうまでもない。 7 may include behavior data that has not been determined as specific behavior, or may include only behavior data that has not been determined as specific behavior. The specific behavior data F121 is related to the corresponding stimulus data generated by the corresponding stimulus data generation by associating the data in which the specific behavior has not occurred with the external storage 220 of the medical condition data system 200 via the symptom data storage processing unit 132, It can be sent to the customizing unique information storage 190 and stored as an improved response stimulus. It should be noted that the feedback functional diagrams of FIGS. 6 and 7 are examples and are not limited to this configuration.
 感知活動処理部110からの特異行動データは、対応刺激解析F122に送るようにしてもよい。対応刺激解析F122では、より詳細な対応刺激解析を行う部分である。例えば、ある感知した罵声や叫びの変化に対して、その関連する事象となるデータを症状データ取得処理部131を介して、病状データシステム200の外部ストレージ220から得るようにする。例えば、特異行動判断F115によって解析された音声である罵声や叫びが特異行動として判断されたときに、その罵声や叫びに関連した事象としてのデータを病状データシステム200から得る。症状データシステム200には、その罵声や叫びに関連したデータと被支援者に対してその対応すべき行動、ケア内容(通常は一般的な行動)が蓄積されており、このデータをもとに、対応刺激解析F122は、どのような対応をすべきかを判断する。そして、その特異行動に対して対応すべき行動データを対応刺激データ生成F124に送ることができる。対応刺激解析F122は、情報処理装置100のみではどのような対応をすべきか判断できない場合でも、症状データ取得処理部131によってその特異行動データを送信し、病状データシステム200によって特異行動の対応を問い合わせ、その対応データを取得することができる。このように、症状データ取得処理部131は、特異行動に対する対応を外部データベースに問い合わせてその情報を取得するのに役立つ。 The specific behavior data from the sensing activity processing unit 110 may be sent to the corresponding stimulus analysis F122. The corresponding stimulus analysis F122 is a part that performs more detailed corresponding stimulus analysis. For example, in response to a certain change in a hoarseness or cry, data related to the event is obtained from the external storage 220 of the medical condition data system 200 via the symptom data acquisition processing unit 131. For example, when a hoarseness or scream, which is a voice analyzed by the peculiar behavior determination F115, is determined as peculiar behavior, data as an event related to the hoarseness or scream is obtained from the medical condition data system 200. In the symptom data system 200, data related to the hoarseness and scream, actions to be taken for the supportee, and care contents (usually general actions) are accumulated. Based on this data, The correspondence stimulus analysis F122 determines what kind of response should be taken. And the action data which should respond | correspond with respect to the specific action can be sent to the corresponding stimulus data generation F124. The correspondence stimulus analysis F122 transmits the specific behavior data by the symptom data acquisition processing unit 131 and inquires about the correspondence of the specific behavior by the disease state data system 200 even when the information processing apparatus 100 alone cannot determine what kind of response should be performed. The corresponding data can be acquired. As described above, the symptom data acquisition processing unit 131 is useful for inquiring the external database about the response to the specific behavior and acquiring the information.
 対応刺激解析F122による解析で得られた刺激対応情報は、対応刺激データ生成F124に送ることができ、そこでは、その刺激対応情報に適合する刺激発生装置20の特定と、発生すべき刺激に対応する刺激データを生成して、関連する刺激発生装置20に送られる。もちろん、刺激データは、一つの刺激発生装置20に限定されず、複数の刺激発生装置20へと送信して、その複数の刺激発生装置20は、刺激データのスケジュールに合わせて共同して作用することができる。刺激発生装置20の固有の装置識別子F21に対応して発生可能な刺激種別は情報処理装置100によって管理されているために、したがって、どの種類のデータをどの刺激発生装置20に送るかは、刺激発生装置20の固有の装置識別子F21によって特定することが可能となる。 The stimulus correspondence information obtained by the analysis by the corresponding stimulus analysis F122 can be sent to the corresponding stimulus data generation F124, where the stimulus generator 20 that matches the stimulus correspondence information is identified and the stimulus to be generated is handled. Is generated and sent to the associated stimulus generator 20. Of course, the stimulus data is not limited to one stimulus generator 20, but is transmitted to a plurality of stimulus generators 20, and the plurality of stimulus generators 20 work together in accordance with the schedule of the stimulus data. be able to. The types of stimuli that can be generated corresponding to the unique device identifier F21 of the stimulus generation device 20 are managed by the information processing device 100. Therefore, which type of data is sent to which stimulus generation device 20 depends on the stimulus. It can be specified by the unique device identifier F21 of the generation device 20.
 尚、先に説明したように、対応刺激データ生成F124自体が、特異行動データから、どのような対応刺激を行うべきかを判断して決定することができるように、この適正な刺激データ生成の判断を行うための基礎となるデータは、例えば、あらかじめ外部ストレージ220から取得することもできるし、あるいは情報処理装置100自身に予め設定されて、図示しないメモリに格納しておいてもよい。 In addition, as explained above, the corresponding stimulus data generation F124 itself can determine and determine what kind of corresponding stimulus should be performed from the specific action data. For example, the data used as the basis for making the determination may be acquired from the external storage 220 in advance, or may be preset in the information processing apparatus 100 itself and stored in a memory (not shown).
 対応刺激解析F122によって判断された対応刺激データは、個別対応刺激解析F123に送るようにしてもよい。この個別対応刺激解析F123は、その被支援者に対して、固有のより有効な対応刺激を生成するのに役立つ。例えば、その人固有の嗜好や過去の経験や直前までの行動、生い立ち、など、その人に関連した情報を考慮して対応刺激を決定することができる。従って、カスタマイズ用データ取得/蓄積処理部140には、このカスタマイズ用データとしてその被支援者に関連する情報が蓄積され、個別対応の基礎データとして利用できるようにしている。 The corresponding stimulus data determined by the corresponding stimulus analysis F122 may be sent to the individual corresponding stimulus analysis F123. The individual corresponding stimulus analysis F123 is useful for generating a unique and more effective corresponding stimulus for the supportee. For example, it is possible to determine the corresponding stimulus in consideration of information related to the person, such as the person's unique preference, past experience, behavior immediately before, and upbringing. Accordingly, the customization data acquisition / accumulation processing unit 140 accumulates information related to the person to be supported as the customization data, and can use it as basic data for individual correspondence.
 個別対応刺激解析F123によって特定された個別対応刺激データは、対応刺激データ生成F124に送られ、対応刺激データ生成F124は、特異行動データ(特異行動データがない場合も含む)に応じて対応刺激データを決定して生成する。 The individual corresponding stimulus data specified by the individual corresponding stimulus analysis F123 is sent to the corresponding stimulus data generation F124, and the corresponding stimulus data generation F124 responds to the specific stimulus data (including the case where there is no specific action data). Is determined and generated.
 図7において、対応刺激解析F122で解析したデータは個別対応刺激解析F123を経ずに直接対応刺激データ生成F124に送るようにしてもよい。また、特異行動判断データF121からのデータは、対応刺激解析F122を経ないで、個別対応刺激解析F123に送るようにしてもよい。 In FIG. 7, the data analyzed by the corresponding stimulus analysis F122 may be sent directly to the corresponding stimulus data generation F124 without going through the individual corresponding stimulus analysis F123. The data from the specific action determination data F121 may be sent to the individual corresponding stimulus analysis F123 without passing through the corresponding stimulus analysis F122.
 対応刺激解析F122及び個別対応刺激解析F123で得られたデータは、症状事例として蓄積するために、対応刺激データ生成F124に送るとともに、症状データ蓄積処理部132やあるいは、カスタマイズデータ蓄積処理部142を介して、症状データシステム200の外部ストレージ220やあるいは、カスタマイズ用固有情報ストレージ190に蓄積するようにしてもよい。また、対応刺激データ生成F124で生成されたデータも、症状データ蓄積処理部132やカスタマイズデータ蓄積処理部142を介して外部ストレージ220やカスタマイズ用固有情報ストレージ190に格納するようにしてもよい。尚、図7には示されていないが、対応刺激解析F122から得られたデータを個別対応刺激解析F123を介さずに、対応刺激データ生成F124に送るようにしてもよい。また、対応刺激解析F122および個別対応刺激解析F123において、あるいはそれに限らず、既知のまたは将来発展するであろう人工知能を使用して対応刺激を決定するようにしてもよい。 The data obtained by the corresponding stimulus analysis F122 and the individual corresponding stimulus analysis F123 is sent to the corresponding stimulus data generation F124 to be stored as a symptom case, and the symptom data storage processing unit 132 or the customized data storage processing unit 142 is sent. Accordingly, the information may be stored in the external storage 220 of the symptom data system 200 or the customization specific information storage 190. The data generated by the corresponding stimulus data generation F124 may also be stored in the external storage 220 or the customization specific information storage 190 via the symptom data storage processing unit 132 or the customization data storage processing unit 142. Although not shown in FIG. 7, the data obtained from the corresponding stimulus analysis F122 may be sent to the corresponding stimulus data generation F124 without going through the individual corresponding stimulus analysis F123. In addition, the corresponding stimulus may be determined by using a known or future artificial intelligence in the corresponding stimulus analysis F122 and the individual corresponding stimulus analysis F123.
 図8は、支援者用情報処理端末50で動作可能な機能ブロックを示している。そして、この機能ブロックを実行可能なように、情報処理装置100の支援者用情報処理端末インタフェース150が設けられている。 FIG. 8 shows functional blocks operable on the information processing terminal 50 for supporter. An information processing terminal interface 150 for the supporter of the information processing apparatus 100 is provided so that this functional block can be executed.
 支援者用情報処理端末50には、活動データモニター51と、被支援者通信モード52、カスタマイズ用データ入力モード53、コミュニケーションモード54、および被支援者刺激提供モード55を有する。活動データモニター51は、活動感知装置10からも活動データをモニターして確認する機能である。活動データモニター51には、ストリームデータとして継続的に活動データを確認できる活動データコンティニアス受信モード51aと、支援者用情報処理端末50を利用する支援者からのリクエストを受け付けて、そのリクエストに対応して活動データを受信する支援者リクエスト受付モード51bを有する。どの活動感知装置10からのデータを受け付けるかを支援者によって指定することも可能である。さらに、活動データモニター51には、情報処理装置100において特異行動として検知された場合に、支援者用情報処理端末50に対してその特異活動が発生したことを通知し、その活動データを支援者用情報処理端末50に送って支援者が確認できるようにする特異行動検知通知モード51cを有する。さらに、支援者用情報処理端末50は、感知活動に従って、どのような刺激が発生したかを確認できるようにしてもよい。 The supporter information processing terminal 50 has an activity data monitor 51, a supportee communication mode 52, a customization data input mode 53, a communication mode 54, and a supportee stimulus providing mode 55. The activity data monitor 51 has a function of monitoring and confirming activity data from the activity sensing device 10. The activity data monitor 51 accepts a request from an activity data continuous reception mode 51a in which activity data can be continuously confirmed as stream data and a supporter using the information processing terminal 50 for supporter, and responds to the request. And a supporter request reception mode 51b for receiving the activity data. It is also possible for the supporter to specify which activity sensing device 10 receives data. Further, when the activity data monitor 51 detects the specific action in the information processing apparatus 100, it notifies the supporter information processing terminal 50 that the specific activity has occurred, and sends the activity data to the supporter. Specific action detection notification mode 51c that is sent to the information processing terminal 50 for confirmation by the supporter. Further, the supporter information processing terminal 50 may be able to confirm what kind of stimulation has occurred according to the sensing activity.
 被支援者通信モード52は、刺激発生装置20および活動感知装置10を通して、あるいは図示しない刺激発生装置20以外の装置を通して、被支援者との対話等の通信を行える機能である。突発的になんらかの異常などが被支援者に生じたときに、あるいは、被支援者とのコミュニケーションを図りたいときに利用できる。特に、上記した感知活動処理部110および刺激データ生成部120によって被支援者の行動が特異行動を発生しておらず、比較的温和と判断されたときに、コミュニケーションを行えるようにすれば、支援者の心の負担、重圧がさらに軽減され、被支援者のみならず、支援者の心のケアをも支えることが可能となる。また、感知活動処理部110および刺激データ生成部120の解析により、支援者とのコミュニケーションを図りたいことを訴える種別の特異行動であると判断された場合には、その判断に応じて支援者が対応することによって、被支援者の精神的なサポートを効率的に行うことができるのである。従って、支援者にとっても、被支援者とのコミュニケーションから解放される時間を効率的に有することができるために、相互のケアが図れることとなる。 The supportee communication mode 52 is a function that enables communication such as dialogue with the supportee through the stimulus generation device 20 and the activity detection device 10 or through a device other than the stimulus generation device 20 (not shown). This can be used when something suddenly occurs in the supported person or when communication with the supported person is desired. In particular, if the sensing activity processing unit 110 and the stimulus data generation unit 120 described above can perform communication when it is determined that the behavior of the supportee does not generate specific behavior and is relatively mild, support is provided. The burden on the person's heart and the pressure are further reduced, and it is possible to support the care of the supporter as well as the supportee. In addition, when it is determined by the analysis of the sensing activity processing unit 110 and the stimulus data generation unit 120 that the action is a peculiar action of the type appealing to communicate with the supporter, the supporter By responding, it is possible to efficiently provide mental support for the supportee. Therefore, since the supporter can efficiently have time to be freed from communication with the supportee, mutual care can be achieved.
 カスタマイズ用データ入力モード53は、被支援者に関連する情報を入力する機能である。この入力されたカスタマイズ用データは、図6および図7で説明したカスタマイズ用データ取得/蓄積処理部140でのカスタマイズ用データとして利用することができる。 The customization data input mode 53 is a function for inputting information related to the supportee. The input customization data can be used as customization data in the customization data acquisition / accumulation processing unit 140 described with reference to FIGS.
 コミュニケーションモード54は、すでに説明した被支援者に関する行動や支援情報に基づいて、医師や介護専門家などとのコミュニケーションを図り、医師等から助言を得たり経過内容などの各種情報を伝えるための機能である。また、カウンセリングや同様の支援を行っている仲間達とのコミュニケーションを図るための機能を有するようにしてもよい。その場合には、提供する情報を制限するようなセキュリティバリアを情報のなかに設定することも可能である。 The communication mode 54 is a function for communicating with doctors, care professionals, etc. based on the behavior and support information related to the supportee already described, obtaining advice from doctors, etc., and conveying various information such as progress It is. Moreover, you may make it have a function for aiming at communication with the counseling and the friend who performs the same support. In that case, a security barrier that restricts the information to be provided can be set in the information.
 被支援者刺激提供モード55は、支援者から任意に刺激を与えるようにするモードである。情報処理装置100によって自動的に刺激を発生する動作と並行して、あるいは、その動作を中断して、任意に選択した刺激発生装置20から刺激を提供し、その反応を活動データモニター51の機能を通して確認することが可能となる。 The supported person stimulus providing mode 55 is a mode in which a stimulus is arbitrarily given from the support person. A function of the activity data monitor 51 provides the stimulus from the arbitrarily selected stimulus generator 20 in parallel with the operation of automatically generating the stimulus by the information processing apparatus 100 or by interrupting the operation. It becomes possible to confirm through.
 図9は、カスタマイズ用データ入力モード53での入力可能な項目の例を示したものである。例えば、年齢、性別、生まれたときに家族構成、現在の家族構成、生い立ち履歴、病気等の発症履歴、趣味や嗜好、主観的、客観的を問わず人格的特徴、身体的障害、等である。ただし、この例に限定されず、対応刺激情報の生成に利用できるものであれば、その個人のパーソナルな情報以外に、直接または間接的に関連する情報を利用し得る。また、カスタマイズ用固有情報ストレージ190に蓄積するのは、このカスタマイズ用データ入力モード53のメニュに限定されず、直近までの行動もそのパーソナルな情報として蓄積し得る。例えば、患者の近くに薬ディスペンサ機器を設置し、薬がその機器から取り出されたときに、その情報を活動感知装置10からの情報として利用し、さらにその取り出した、という行為のパーソナル情報を被支援者のカスタマイズ用データとしてカスタマイズ用固有情報ストレージ190に入力するようにしてもよい。そして、もしその薬の利用が感知されないときにその後の特異行動として判断される行動が生じて特定できた場合には、薬の未使用というカスタマイズ情報と特異行動とを関連づけることが可能となり、薬の使用を促す刺激情報を提供することができる。また、この一連のプロセスは、薬の有効性の判断にも利用できる。すなわち、処方した薬が効いているかどうかの判断も行うことができるのである。 FIG. 9 shows an example of items that can be input in the customization data input mode 53. For example, age, gender, family structure at birth, current family structure, history of birth, history of illness, etc., hobbies and preferences, personality characteristics regardless of objective or objective, physical disability, etc. . However, the present invention is not limited to this example, and as long as it can be used for generating corresponding stimulus information, information related directly or indirectly can be used in addition to the personal information of the individual. Further, the accumulation in the customization specific information storage 190 is not limited to the menu in the customization data input mode 53, and the actions up to the latest can be accumulated as the personal information. For example, when a medicine dispenser device is installed near the patient, when the medicine is taken out from the equipment, the information is used as information from the activity sensing device 10, and personal information of the act of taking out the information is received. You may make it input into the specific information storage 190 for customization as data for customization of a supporter. And if the behavior that is judged as the specific behavior after that is detected when the use of the drug is not detected and can be identified, it becomes possible to associate the customized information that the drug is not used with the specific behavior. Stimulation information that encourages the use of can be provided. This series of processes can also be used to determine drug effectiveness. In other words, it is possible to determine whether the prescribed medicine is effective.
 このほかに、被支援者に刺激を与える日時や身近な人の名前や、被支援者の回想療法に繋げるために、被支援者によって懐かしい写真や情報など、その個人に関連する情報はパーソナルな情報として含みうる。そして、後に説明する被支援者に対して発生する刺激情報として提供するためのコンテンツは、そのパーソナルな情報により取得された情報を含むことができる。 In addition, information related to the individual, such as the date and time of stimulating the supported person, the name of a familiar person, and photos and information that are nostalgic to the supported person, such as photos and information that are nostalgic by the supported person, are personal. May be included as information. And the content for providing as stimulus information which generate | occur | produces with respect to the to-be-supported person demonstrated later can contain the information acquired by the personal information.
 図10は、専門家用情報処理端末60で動作可能な機能ブロックを示している。そして、この機能ブロックを実行可能なように、情報処理装置100の専門家用情報処理端末インタフェース160が設けられている。 FIG. 10 shows functional blocks operable on the professional information processing terminal 60. And the information processing terminal interface 160 for professionals of the information processing apparatus 100 is provided so that this functional block can be performed.
 専門家用情報処理端末60には、活動データモニター61と、症状データ検索モード62と、被支援者通信モード63と、支援者通信モード64、そして被支援者刺激提供モード65を有する。活動データモニター61は、活動感知装置10からも活動データをモニターして確認する機能である。活動データモニター61には、ストリームデータとして継続的に活動データを確認できる活動データコンティニアス受信モード61aと、専門家用情報処理端末60を利用する専門家からのリクエストを受け付けて、そのリクエストに対応して活動データを受信する活動データリクエスト受付モード61bを有する。どの活動感知装置10からのデータを受け付けるかを専門家によって指定することも可能である。さらに、活動データモニター61には、情報処理装置100において特異行動として検知された場合に、専門家用情報処理端末60に対してその特異活動が発生したことを通知し、その活動データを専門家用情報処理端末60に送って専門家が確認できるようにする特異行動検知通知モード61cを有する。 The professional information processing terminal 60 has an activity data monitor 61, a symptom data search mode 62, a supportee communication mode 63, a supporter communication mode 64, and a supportee stimulus providing mode 65. The activity data monitor 61 has a function of monitoring and confirming activity data from the activity sensing device 10. The activity data monitor 61 accepts a request from an expert who uses the activity data continuous reception mode 61a in which the activity data can be continuously confirmed as stream data and the expert information processing terminal 60, and responds to the request. Activity data request reception mode 61b for receiving activity data. It is also possible for an expert to specify which activity sensing device 10 receives data. Furthermore, when the activity data monitor 61 detects the unique behavior in the information processing apparatus 100, it notifies the specialist information processing terminal 60 that the particular activity has occurred, and the activity data is used as the specialist information. It has a unique behavior detection notification mode 61c that is sent to the processing terminal 60 so that an expert can check it.
 症状データ検索モード62は、医師等の専門家が被支援者の症状に照らして適切な対応を可能とするための情報を外部記憶装置、例えば外部ストレージ220やカスタマイズ用固有情報ストレージ190から得られるようにするものである。 In the symptom data search mode 62, information for enabling an expert such as a doctor to take an appropriate action in light of the symptom of the supportee can be obtained from an external storage device, for example, the external storage 220 or the unique information storage 190 for customization. It is what you want to do.
 被支援者通信モード63は、刺激発生装置20および活動感知装置10を通して、あるいは図示しない刺激発生装置20以外の装置を通して、被支援者との対話等の通信を行える機能である。突発的になんらかの異常などが被支援者に生じたときに、あるいは、被支援者とのコミュニケーションを図りたいときに利用できる。被支援者からの信頼を得るようにすることは被支援者の治療によって重要な要素であることから、コミュニケーションを緊密に保つためにも利用できる。 The supportee communication mode 63 is a function that enables communication such as dialogue with the supportee through the stimulus generation device 20 and the activity detection device 10 or through a device other than the stimulus generation device 20 (not shown). This can be used when something suddenly occurs in the supported person or when communication with the supported person is desired. Obtaining trust from the supportee is an important factor in the treatment of the supportee, and can be used to keep communication close.
 支援者通信モード64は、支援者の心のケアを図るために、支援者が利用する情報端末に対して支援者への助言やアドバスを提供するのに利用することができる。 The supporter communication mode 64 can be used to provide advice to the supporter or advice to the information terminal used by the supporter in order to care for the supporter.
 被支援者刺激提供モード65は、専門家から任意に刺激を与えるようにするモードである。情報処理装置100によって自動的に刺激を発生することと並行して、あるいは、それを中断して、任意に選択した刺激発生装置20から刺激を発信し、その刺激に対する被支援者の反応を活動データモニター61の機能を通して確認することが可能となる。 The supported person stimulus providing mode 65 is a mode in which a stimulus is arbitrarily given from an expert. In parallel with or automatically interrupting the generation of a stimulus by the information processing device 100, the stimulus is transmitted from the arbitrarily selected stimulus generator 20, and the response of the supportee to the stimulus is activated. This can be confirmed through the function of the data monitor 61.
 刺激データは、被支援者が感ずることのできる5感の少なくもいずれかを刺激するものである。5感は、聴覚、視覚、触覚、味覚、嗅覚で分類されるが、それぞれの感覚に訴えるデータを具体的に提供することが必要となる。例えば、聴覚を刺激するための物理的な素子、デバイスまたは装置として、スピーカである。尚、本願では、素子、装置、デバイスをそれぞれ明確に規定するものではなく、互いに排他的なものではなく、本願で「素子」といった場合に、素子は、装置、デバイス等を含んだ意味と解し得るし、装置、デバイスといった場合に、その装置、デバイスは素子をも含み得る。 刺激 Stimulus data stimulates at least one of the five senses that the supportee can feel. The five senses are classified into auditory, visual, tactile, gustatory, and olfactory senses, and it is necessary to specifically provide data that appeals to each sense. For example, a speaker is used as a physical element, device, or apparatus for stimulating hearing. In the present application, elements, devices, and devices are not clearly defined and are not mutually exclusive. In the present application, in the case of “element”, it is understood that an element includes an apparatus, a device, and the like. In the case of an apparatus or a device, the apparatus or device may also include an element.
 ここで、素子であるスピーカからどのような音を発するかを決定しない限り、素子を特定しただけでは、被支援者には五感を刺激する情報としては提供されない。そこで、本願では、その刺激データの情報をコンテンツと呼ぶ。 Here, unless it is determined what kind of sound is emitted from the speaker, which is an element, simply specifying the element does not provide information to stimulate the senses to the supportee. Therefore, in the present application, the information of the stimulus data is referred to as content.
 そのコンテンツとしていくつかを表1に例示する。 Some examples are shown in Table 1.
Figure JPOXMLDOC01-appb-T000001

 つぎに表2を使用して活動感知素子を例示する。
Figure JPOXMLDOC01-appb-T000001

Next, Table 2 is used to illustrate the activity sensing element.
Figure JPOXMLDOC01-appb-T000002

 ここで、活動感知素子は、複数の素子の組み合わせから構成することもできるし、さらには、一つのまたは複数の刺激発生素子と組み合わされた構成とすることもできる。
Figure JPOXMLDOC01-appb-T000002

Here, the activity sensing element can be composed of a combination of a plurality of elements, or can be composed of a combination of one or a plurality of stimulus generating elements.
 次に、表3を使用して刺激発生素子についてその例を示しながら説明する。 Next, using Table 3, the stimulus generating element will be described with an example.
Figure JPOXMLDOC01-appb-T000003

 刺激を提供する素子としては、被支援者に直接刺激を発信する直接刺激型素子のほか、室内に外光を取り入れたり、あるいは周囲の環境に変化を与えて、被支援者が興味を引き起こすような環境を提供するという間接刺激型素子に分類することができる。
Figure JPOXMLDOC01-appb-T000003

In addition to direct stimulation type elements that send stimuli directly to the person being supported, the elements that provide the stimulus may be of interest to the person being supported by introducing external light into the room or changing the surrounding environment. Can be classified as an indirect stimulating element that provides a simple environment.
 例えば、表3の間接刺激型素子で例示した「花壇」や「花」、「カーテン」などである。花壇の設置や花の提供、カーテンの開け閉めは、通常は人の手を必要とするものであり、このような間接的な刺激データの生成および発信も本システムは可能としている。従って、情報処理装置100からの刺激データは、例えば、支援者や介護や介助の専門家が使用する情報処理端末に対して、「花」を被支援者に提供を促すデータや、「カーテン」を開けて外光を取り入れるように促すデータでもあり得る。 For example, “flower bed”, “flower”, “curtain”, etc. exemplified in the indirect stimulation type element of Table 3. Installation of flower beds, provision of flowers, and opening and closing of curtains usually require human hands, and this system can also generate and transmit such indirect stimulation data. Therefore, the stimulation data from the information processing apparatus 100 includes, for example, data that prompts the supportee to provide “flowers” to an information processing terminal used by a supporter or a caregiver or assistance specialist, or “curtain”. It can also be data that encourages people to open and take in outside light.
 すでに説明した本発明による実施形態では、情報処理装置100と連携して、いわば情報処理装置100の遠隔的な操作によって動作する遠隔操作型刺激発生装置および活動感知装置の構成を例示したものである。しかし、情報処理装置100の操作によらず、より自発的に動作するようにしてもよい。表3の直接刺激型素子において示されたプログラム動作型発生素子は、予めプログラムされた動作に従い、より能動的に動作を可能とした発生素子であり、自立動作型刺激発生素子は、さらにより自立して動作する発生素子である。尚、表2では示してはいないが、活動感知素子でも、情報処理装置100から受動的に動作する素子、より能動的に動くようにしたプログラム動作型素子、さらにはより自立的に動作する自立型素子の構成とすることも可能である。 In the embodiment according to the present invention described above, the configuration of the remote-operation type stimulus generation device and the activity detection device that operate by remote operation of the information processing device 100 in cooperation with the information processing device 100 is illustrated. . However, the operation may be performed more spontaneously regardless of the operation of the information processing apparatus 100. The programmed operation type generation elements shown in the direct stimulation type elements of Table 3 are generation elements that can operate more actively according to pre-programmed operations, and the self-sustained operation type stimulation generation elements are even more independent. This is a generating element that operates as described above. Although not shown in Table 2, even with an activity sensing element, an element that passively operates from the information processing apparatus 100, a program operation type element that moves more actively, and a self-supporting element that operates more independently. A configuration of a mold element is also possible.
 表3ではさらに、ハードウェア構成を例示している。すでに説明した本発明による実施形態では、刺激発生素子と活動感知素子がそれぞれ独立である独立型装置を示しているが、それぞれが単独に存在するよりも、その刺激と感知とを一体的に組み込んだ構造とすることもできるし、さらにはより発展的に、多様な活動感知装置と刺激発生装置とが組み込まれて、より高度に自発的に動作するような、例えばロボット型の装置としてもよい。さらには、IOTセンサやIOTスピーカなど、IOT技術を発展させて活動感知装置と刺激発生装置とを高度にネットワーク化し、より親和性が高い人工知能により処理を図るようにすることも可能である。 Table 3 further illustrates the hardware configuration. The previously described embodiments of the present invention show a stand-alone device in which the stimulus generating element and the activity sensing element are independent of each other, but the stimulus and sensing are integrated into one rather than each being present alone. It is possible to use a robot-type device, for example, a robot-type device in which a variety of activity sensing devices and stimulus generation devices are incorporated to operate more spontaneously. . Furthermore, it is also possible to develop an IOT technology such as an IOT sensor and an IOT speaker so that the activity sensing device and the stimulus generation device are highly networked, and the processing can be performed by artificial intelligence having higher affinity.
 表2および表3で示した各素子から、あるいはそれらを組み合わせた構成によって、異なったレベルのモジュールを構成することができる。最も単純なモジュールレベルは、それぞれが単独で存在するものであるが(本願ではそれもモジュールと呼ぶ)、複数の刺激発生装置や素子が組み合わさったモジュール、さらには、活動感知装置や素子も組み合わさったモジュールなど、多様なパターンのモジュールとすることも可能である。 Different level modules can be configured from the elements shown in Tables 2 and 3 or by a combination of the elements. The simplest module level is one where each exists alone (also referred to as a module in this application), but a module that combines multiple stimulus generators and elements, as well as activity sensing devices and elements. It is also possible to make modules of various patterns, such as modules.
 そこで、それらのモジュールを効果的に利用できるように、活動感知装置と刺激発生装置および支援者用情報処理端末に組み込まれる機能をアプリとして提供して、支援手法を拡張させる新たな方法およびシステムの例を示す。 Therefore, in order to effectively use these modules, a new method and system for extending the support method by providing the functions incorporated in the activity detection device, the stimulus generation device, and the supporter information processing terminal as an application. An example is shown.
 尚、すでに説明したように、活動感知装置10および刺激発生装置20はその特性に応じて有効な様々な素子が利用できる。また、被支援者の症状を緩和するためには、機械または電気的な素子ばかりではなく、癒しの対象となる動物や植物は、被支援者の自己の存在感などの自己形成を維持させ、社会に対して心を開かせる有用な機能を潜在的に内在している要素でもある。よって、本願での[素子」にはこのような要素をも含む概念とし得る。上記機能は被支援者に対して刺激を与えるためには有用である。また、刺激を与える素子が多様であると同時に、症状を感知するための素子も多様である。そして、支援者用情報処理端末50は、その素子の多様な組み合わせに対応するように機能を構成することができるようになっている。 As described above, the activity sensing device 10 and the stimulus generation device 20 can use various effective elements according to their characteristics. In addition, in order to alleviate the symptoms of the supportee, not only mechanical or electrical elements, but also animals and plants to be healed maintain the self-formation of the supportee's self, It is also an element that potentially contains useful functions that open up the mind to society. Therefore, the “element” in the present application may be a concept including such elements. The above function is useful for providing stimulation to the supportee. In addition, there are a variety of devices for sensing a symptom and various devices for sensing symptoms. The supporter information processing terminal 50 can be configured to correspond to various combinations of the elements.
 例えば、図11は、刺激発生をモジュールとして提供し、そのモジュールに対応して、一つまたは複数の感知装置をセットとして提供する。また、感知装置も含んだセットをモジュールとしてもよい。そして、そのセットに対して可能となる機能を支援者用情報処理端末50にインストールするアプリケーションとして管理するようにした。これによって、どのような刺激情報を提供するかも明確となり、明確となった刺激情報をコンテンツとしても提供できるようになる。 For example, FIG. 11 provides stimulus generation as a module, and provides one or more sensing devices as a set corresponding to the module. A set including a sensing device may be a module. Then, the functions enabled for the set are managed as an application to be installed in the information processing terminal 50 for supporter. This makes it clear what kind of stimulation information is provided, and makes it possible to provide the clarified stimulation information as content.
 この組み合わせを提供することで、刺激情報や、活動感知装置10、刺激発生装置20などの雑多な情報からどれを選ぶかを迷いうことがない。支援者は、アプリとモジュールとの組み合わせのセットを複数のセットから選べばよく、そのセットに応じた刺激情報の決定を情報処理装置100は行えばよい。さらに、症状が悪くなったり、あるいは逆に軽減した場合には、そのセットを追加しまたは一部のセットを解除し若しくは他のセットに代えるなどして、支援を継続していけばよい。 By providing this combination, there is no doubt about which one to select from various information such as stimulus information, activity sensing device 10 and stimulus generator 20. The supporter only needs to select a combination set of the application and the module from a plurality of sets, and the information processing apparatus 100 may determine the stimulation information according to the set. Furthermore, when the symptom worsens or is reduced, the support may be continued by adding the set or canceling a part of the set or replacing it with another set.
 このように、それぞれの被支援者に対して適正な介護や対応が行われるように、そしてさらには、介護や治療の経過に応じて段階的な介護や対応が行われるように、個々の被支援者の症状、例えば、認知症の行動やBPSDの症状に対応する非薬物等の治療アルゴリズムを有したソフトウェアモジュールを異なるアプリとして複数用意し、そのソフトウェアモジュールに対応して、活動感知装置および刺激発生装置のモジュールも提供するように構成することができる。このとき、コンテンツはそのアプリに必須の付帯データとする必要はなく、アプリが求めるコンテンツを利用者がPC内にロードするようにしてもよく、あるいはアプリがそのアルゴリズムと特異行動に応じてネットワークを通じてロードするようにしてもよい。 In this way, individual care recipients are provided so that appropriate care and response are provided to each person being supported, and further, step-by-step care and response are provided according to the progress of care and treatment. Prepare multiple software modules with treatment algorithms such as non-drugs corresponding to the symptoms of supporters, such as dementia behavior and BPSD, as well as activity sensing devices and stimuli corresponding to the software modules A generator module may also be provided. At this time, the content does not have to be supplementary data essential to the application, and the user may load the content requested by the application into the PC, or the application may be transmitted through the network according to the algorithm and unique behavior. You may make it load.
 このソフトウェアモジュールによって、被支援者の症状、例えば認知症の行動やBPSDの症状に対応した非薬物等の治療アルゴリズムに基づき、被支援者に対しての刺激と、被支援者の刺激応答を感知することが可能となる。 This software module senses the stimulus to the supportee and the stimulus response of the supportee based on the non-drug treatment algorithm corresponding to the symptoms of the supportee, for example, dementia behavior or BPSD. It becomes possible to do.
 それぞれの被支援者に対して適正な介護や介助が行われるように、認知症以外にも、個々の疾患の種類、程度、治療経過などに対応した治療アルゴリズムを有したソフトウェアモジュールを複数用意することもできる。その疾患は、例えば、うつ、PTSD、多発性硬化症、パーキンソン病、摂食障害、統合失調、薬物依存、アルコール依存、強迫性障害、またはその他の介護及び/または介助を必要とする疾患であり、複数用意されたソフトウェアモジュールから少なくとも一つのモジュールが支援者用情報処理端末50にダウンロードされ、情報処理装置100は、そのダウンロードされたモジュールの実行に対応するように動作する。 In addition to dementia, multiple software modules with treatment algorithms corresponding to the type, degree, and course of treatment of each disease are prepared so that appropriate care and assistance can be provided to each recipient. You can also. The disease is, for example, depression, PTSD, multiple sclerosis, Parkinson's disease, eating disorders, schizophrenia, drug dependence, alcohol dependence, obsessive compulsive disorder, or other diseases that require care and / or assistance At least one module is downloaded to the supporter information processing terminal 50 from the plurality of prepared software modules, and the information processing apparatus 100 operates so as to correspond to the execution of the downloaded module.
 図12は、感知したデータが音声データや画像データである場合に、図6の感知活動処理部110の各機能がどのような処理を行うかを認知症患者のBPSD症状の症例データを利用して例示したものである。もちろんこれは例示であってこれに限定されるものではない。 FIG. 12 shows how the functions of the sensing activity processing unit 110 in FIG. 6 perform when the sensed data is audio data or image data, using case data of BPSD symptoms of a dementia patient. This is an example. Of course, this is an example, and the present invention is not limited to this.
 感知活動処理部110は、感知音声データを活動感知装置10から受けると、-音声パターン認識、言語解析、行動時間の特定などの活動データ解析を行う(F111)。音声パターン認識は、その音声の性質、例えば、周波数の高低、音声の強さ、時間的な変化などを解析する。また、感知画像データを他の活動感知装置10から受けると、空間の周波数分析、顔特徴抽出等の画像データ解析、表情抽出、顔色等の特定などを行う(F111)。画像パターン解析では、怒りの表情や、悲しみの表情のほか、無表情な状態、表情の時間的な変化などを解析する、そして、それらの解析データと、BPSD症状のデータとの相関をとる(F112)。また、必要に応じてカスタマイズ用固有情報ストレージ190からパーソナルな情報を受信する。例えば、音声データでは被支援者の通常の音声の高低と感知音声データの高低とを比較し、外部ストレージ220からのBPSD患者の症状を発症したときに、音声の高低の変化の違いを示すデータを取得し、その傾向が一致しているかどうかを判断する。一致している場合には、そこから音声パターンの性質と何らかの相関を有するかどうかを判定し、相関するとしたら、どの種のBPSD症状データに含まれるかを判断する。また、言語解析から、その言葉の意味を解析し、同様にBPSD症状のデータとの相関をとる。そして、その意味内容がBPSD症状に該当するかどうかを判断する。さらに、被支援者の行動時間を特定し、BPSD症状データから、その時間がBPSD患者の症状を発症したときの行動時間と相関関係を有するかどうかを判断する。このように多様な情報の相関関係をとり、必要な場合には重みづけを行い、その総合的な点数が、ある所定の閾値を超えているかどうかによってBPSD症状であるかどうか、その重さ、進行状況がどの程度であるかどうかを特定する(F113)。そして、そのBPSD症状であると判断されたとき、その相関関係を有する行動を特定行動として判断する(F115)。 Upon receiving the sensed voice data from the activity sensing device 10, the sensing activity processing unit 110 performs activity data analysis such as voice pattern recognition, language analysis, and action time specification (F111). The voice pattern recognition analyzes the nature of the voice, for example, the frequency level, voice strength, temporal change, and the like. When the sensed image data is received from another activity sensing device 10, spatial frequency analysis, image data analysis such as facial feature extraction, facial expression extraction, facial color and the like are performed (F111). In the image pattern analysis, in addition to an angry expression, a sad expression, an expressionless state, a temporal change in the expression, etc., and the correlation between these analysis data and BPSD symptom data is obtained ( F112). Further, personal information is received from the customizing unique information storage 190 as necessary. For example, in the voice data, the level of the normal voice of the supportee is compared with the level of the sensed voice data, and when the symptoms of the BPSD patient from the external storage 220 develop, the data indicating the difference in the voice level change And determine whether the trends match. If there is a match, it is determined whether there is any correlation with the nature of the voice pattern, and if so, what kind of BPSD symptom data is included. In addition, from the language analysis, the meaning of the word is analyzed and similarly correlated with the BPSD symptom data. And it is judged whether the meaning content corresponds to a BPSD symptom. Further, the behavior time of the supportee is specified, and it is determined from the BPSD symptom data whether the time has a correlation with the behavior time when the symptom of the BPSD patient is developed. In this way, correlation of various information is performed, weighting is performed when necessary, and whether or not the BPSD symptom depends on whether the total score exceeds a predetermined threshold, its weight, The degree of progress is specified (F113). And when it is judged that it is the BPSD symptom, the action which has the correlation is judged as specific action (F115).
 図13は、図12で感知した音声データから、特異行動が認知症患者のBPSD症状の症例のうちの暴言と判断された場合に、図7の刺激データ生成部120の各機能がどのような処理を行うかを例示したものである。もちろんこれも例示でありこれに限定されるものではない。 FIG. 13 shows what each function of the stimulus data generation unit 120 in FIG. 7 shows when the specific behavior is determined as a rant among the cases of BPSD symptoms of a dementia patient from the voice data sensed in FIG. This is an example of whether to perform processing. Of course, this is also an example, and the present invention is not limited to this.
 刺激データ生成部120は、特異行動判断データF121が特異行動データを受けると、対応刺激解析F122にそのデータを渡し、対応刺激解析F122は、その暴言のBPSD症状を病状データシステム200に問い合わせる。症状データシステム200はその病状データベースを格納するようにした外部ストレージ220より、BPSD症状の暴言に対応する処理、すなわち、対応刺激として何を発生するかを症状データ取得/蓄積処理部130を介して対応刺激解析F122に返す。例えば、病状データシステム200は、暴言に対してその行動を抑える対応刺激として「落ち着いた曲」の発信と「落ち着いた画像」の配信を提供したと仮定する。次に、刺激データ生成部120は、個別対応刺激解析F123においてカスタマイズ用データを問い合わせて、被支援者のパーソナルデータを取得する。そのなかから、趣味である「ロック」を特定した個別対応刺激解析F123は、対応刺激として「ロック調」の曲の発信と「好みのバンドグループ」のライブ映像を決定する。この決定を受けた対応刺激データ生成F124は、その刺激に対応するデータをインターネット90を介して図示しないコンテンツ提供サイトから取得し、刺激データとして生成して、刺激発生装置20に送信する。尚、コンテンツは、支援システム1以外の他サイトから取得してもよく、あるいは、被支援者のパーソナルデータとして、カスタマイズ用固有情報ストレージ190にあらかじめ用意するようにしてもよい。対応刺激データの生成と被支援者への発生(発信)と、その発信に対する被支援者の対応行動である活動データとが一連のループを形成しており、先に発信した刺激データが十分でないと判断された場合には、カスタマイズ用データに基づき別なコンテンツを選択し、刺激データして生成するようにすればよく、これによって、被支援者が求める、あるいは被支援者の特異行動をより抑える刺激を発生することができる。その結果、支援者への精神的な負担、時間的な負担を大いに軽減することが可能となるのである。 When the specific action determination data F121 receives the specific action data, the stimulus data generation unit 120 passes the data to the corresponding stimulus analysis F122, and the corresponding stimulus analysis F122 inquires of the medical condition data system 200 about the BPSD symptoms of the rant. The symptom data system 200 stores, via the symptom data acquisition / accumulation processing unit 130, processing corresponding to the BPSD symptom, that is, what is generated as a corresponding stimulus, from the external storage 220 configured to store the disease state database. Return to the corresponding stimulus analysis F122. For example, it is assumed that the medical condition data system 200 provides the transmission of “settled music” and the distribution of “settled image” as corresponding stimuli that suppress the action against rant. Next, the stimulus data generation unit 120 inquires customization data in the individual correspondence stimulus analysis F123, and acquires personal data of the supportee. Among them, the individual correspondence stimulus analysis F123 specifying the hobby “rock” determines the transmission of the “rock tone” song and the live video of the “favorite band group” as the correspondence stimulus. Upon receiving this determination, the corresponding stimulus data generation F124 acquires data corresponding to the stimulus from a content providing site (not shown) via the Internet 90, generates it as stimulus data, and transmits it to the stimulus generator 20. The content may be acquired from a site other than the support system 1 or may be prepared in advance in the customization specific information storage 190 as personal data of the supportee. Generation of response stimulus data, generation (transmission) to the supportee, and activity data that is the supportee's response action to the transmission form a series of loops, and the stimulus data sent earlier is not sufficient If it is determined, it is sufficient to select another content based on the customization data and generate the stimulus data. Suppressing stimuli can be generated. As a result, the mental burden and time burden on the supporter can be greatly reduced.
 本発明による支援システムは、疾患を発症した被支援者の症状の進行を食い止め、さらには緩和させるのに有効であるが、本発明をまだ疾患の症状として現れてきていない被支援者の発症の予防を図るためにも有効である。 The support system according to the present invention is effective in stopping and further mitigating the progress of symptoms of a supportee who has developed a disease, but the present invention is not yet manifested as a symptom of a disease. It is also effective for prevention.
 1 支援システム
 10、10(1)~10(m) 活動感知装置
 11 インタフェース
 12 活動感知素子
 13 コントローラ
 14 タイマ
 20、20(1)~20(n) 刺激発生装置
 21 インタフェース
 22 刺激発生素子
 23 コントローラ
 24 タイマ
 25 メモリ
 40 ルータ
 50 支援者用情報処理端末
 51 活動データモニター
 51a 活動データコンティニア受信モード
 51b 支援者リクエスト受付モード
 51c 特異行動検知通知モード
 52 被支援者通信モード
 53 カスタマイズ用データ入力モード
 54 コミュニケーションモード
 55 被支援者刺激提供モード
 60 専門家用情報処理端末
 61 活動データモニター
 61a 活動データコンティニア受信モード
 61b 活動データリクエスト受付モード
 61c 特異データ検索モード
 62 症状データ検索モード
 63 被支援者通信モード
 64 支援者通信モード
 65 被支援者刺激提供モード
 90 インターネット
 100 情報処理装置
 110 感知活動処理部
 120 刺激データ生成部
 130 症状データ取得/蓄積処理部
 131 症状データ取得処理部
 132 症状データ蓄積処理部
 140 カスタマイズ用データ取得/蓄積処理部
 141 カスタマイズ用データ取得処理部
 142 カスタマイズ用データ蓄積処理部
 150 支援者用情報処理端末インタフェース
 160 専門家用情報処理端末インタフェース
 190 カスタマイズ用固有情報ストレージ
 200 病状データシステム
 220 外部ストレージ
DESCRIPTION OF SYMBOLS 1 Support system 10, 10 (1) -10 (m) Activity sensing apparatus 11 Interface 12 Activity sensing element 13 Controller 14 Timer 20, 20 (1) -20 (n) Stimulation generator 21 Interface 22 Stimulation generation element 23 Controller 24 Timer 25 Memory 40 Router 50 Information processing terminal for supporter 51 Activity data monitor 51a Activity data continuous reception mode 51b Supporter request reception mode 51c Singular behavior detection notification mode 52 Supported user communication mode 53 Data input mode for customization 54 Communication mode 55 Support person stimulation providing mode 60 Information processing terminal for professionals 61 Activity data monitor 61a Activity data continuous reception mode 61b Activity data request acceptance mode 61c Singular data search mode 62 symptom data search mode 63 supportee communication mode 64 supporter communication mode 65 supportee stimulus providing mode 90 internet 100 information processing device 110 sensing activity processing unit 120 stimulus data generation unit 130 symptom data acquisition / accumulation processing unit 131 symptom Data acquisition processing unit 132 Symptom data storage processing unit 140 Data acquisition / storage processing unit for customization 141 Data acquisition processing unit for customization 142 Data storage processing unit for customization 150 Information processing terminal interface for supporter 160 Information processing terminal interface for professionals 190 Customization Specific information storage 200 medical condition data system 220 external storage

Claims (15)

  1.  介護または介助を受ける被支援者と、その被支援者への介護又は介助を行う支援者との間に少なくとも介在し、被支援者の健全な活性化を図り、被支援者のみならず支援者のQOLの低下を阻止するための支援システムであって、当該システムは、
     前記被支援者の活動を感知可能な少なくとも一つの感知装置と、
     前記被支援者に五感のうちの少なくとも一つへの刺激を直接または間接的に提供する刺激発信装置と、
     前記感知装置および前記刺激発信装置と通信接続可能な情報処理装置と、からなり、
     前記情報処理装置は、前記感知装置から前記被支援者からの活動を受信し、前記刺激発信装置から発信する刺激に関する刺激データを生成するように構成されている、支援システム。
    At least intervening between the supportee who receives care or assistance and the supporter who provides care or assistance to the supportee, and promotes the healthy activation of the supportee, not only the supportee but also the supporter A support system for preventing a decline in QOL of the system,
    At least one sensing device capable of sensing the activity of the supported person;
    A stimulus transmitter for directly or indirectly providing a stimulus to at least one of the five senses to the supportee;
    An information processing device communicably connected to the sensing device and the stimulus transmission device,
    The information processing apparatus is configured to receive an activity from the supportee from the sensing device and generate stimulation data related to a stimulus transmitted from the stimulus transmission device.
  2.  前記情報処理装置は、感知した活動が特異な活動であるかどうかを判断し、
     前記特異な活動であると判断したとき、当該特異な活動に対処するための前記刺激データを生成する、請求項1に記載の支援システム。
    The information processing apparatus determines whether the sensed activity is a unique activity,
    The support system according to claim 1, wherein when it is determined that the unique activity is detected, the stimulation data for generating the unique activity is generated.
  3.  前記支援システムは、さらに前記支援者が利用可能な第1のインタフェース装置からなり、
     前記第1のインタフェース装置は、前記情報処理装置と通信可能に構成され、例えば、パーソナルコンピュータ、スマートフォン、タブレット、情報処理端末等、である、請求項1または2に記載の支援システム。
    The support system further comprises a first interface device that can be used by the supporter,
    The support system according to claim 1, wherein the first interface device is configured to be communicable with the information processing device, and is, for example, a personal computer, a smartphone, a tablet, an information processing terminal, or the like.
  4.  前記第1のインタフェース装置は、前記被支援者に発信する刺激に関する刺激情報と、その刺激に対する前記被支援者の刺激応答である活動に関する情報の少なくとも一部を前記情報処理装置から受信し、前記支援者に提供できるように構成された、請求項3に記載の支援システム。 The first interface device receives, from the information processing device, stimulation information related to a stimulus transmitted to the supportee and at least a part of information related to an activity that is a stimulus response of the supportee to the stimulus, The support system according to claim 3, wherein the support system is configured to be provided to a support person.
  5.  前記情報処理装置は、前記被支援者に与えた刺激とその与えた刺激に対する刺激応答となる前記被支援者の活動との関係に基づいて前記刺激データを生成する、請求項1乃至4のいずれかに記載の支援システム。 5. The information processing apparatus according to claim 1, wherein the information processing device generates the stimulus data based on a relationship between a stimulus given to the supported person and an activity of the supported person that is a stimulus response to the given stimulus. The support system described in Crab.
  6.  前記支援システムは、前記被支援者のパーソナルな情報を有し、当該パーソナルな情報に基づいて前記刺激データを生成する、請求項1乃至5のいずれかに記載の支援システム。 The support system according to any one of claims 1 to 5, wherein the support system has personal information of the supportee and generates the stimulus data based on the personal information.
  7.  請求項3を引用する請求項6に記載の支援システムであって、前記第1のインタフェース装置は、前記被支援者のパーソナルな情報を前記支援者によって入力可能であって、当該支援システムは、当該入力された被支援者のパーソナルな情報を前記情報処理装置に提供するように構成されている、支援システム。 The support system according to claim 6, wherein the first interface device can input personal information of the supportee by the supporter, and the support system includes: A support system configured to provide the information processing apparatus with personal information of the input supportee.
  8.  請求項2に従属する請求項6及び7のいずれかに記載の支援システムであって、
     前記情報処理装置は、前記特異な活動が前記被支援者のパーソナルな情報に基づいて特異か否かを判断する、支援システム。
    The support system according to any one of claims 6 and 7 dependent on claim 2,
    The information processing apparatus is a support system that determines whether or not the unique activity is unique based on personal information of the supportee.
  9.  前記パーソナルな情報に基づいて得られた刺激データによる刺激とその刺激応答である被支援者の活動を症例データとして蓄積し、当該蓄積されたデータに基づきその後の刺激データを生成する、請求項6乃至8のいずれかに記載の支援システム。 The stimulation by the stimulation data obtained based on the personal information and the activity of the supportee as the stimulation response are accumulated as case data, and subsequent stimulation data is generated based on the accumulated data. The support system in any one of thru | or 8.
  10.  前記被支援者は、例えば、認知症、うつ、PTSD、多発性硬化症、パーキンソン病、摂食障害、統合失調、薬物依存、アルコール依存、強迫性障害、またはその他の介護及び/または介助を必要とする疾患を有し、
     前記支援システムは、前記疾患の症状、例えば認知症の行動または心理症状であるBPSD、の特異行動に関する情報を蓄積し、前記感知した活動が、当該蓄積した情報に基づき、前記疾患による症状に基づく特異な行動であるかどうかを判断する、請求項2または請求項2を引用する請求項3乃至9のいずれかに記載の支援システム。
    The recipient needs, for example, dementia, depression, PTSD, multiple sclerosis, Parkinson's disease, eating disorders, schizophrenia, drug dependence, alcohol dependence, obsessive compulsive disorder, or other care and / or assistance Have the disease
    The support system accumulates information on specific symptoms of the disease symptoms such as BPSD, which is dementia behavior or psychological symptoms, and the sensed activity is based on the accumulated information and based on the symptoms of the disease The support system according to claim 2, wherein the support system determines whether or not the action is unique.
  11.  前記被支援者は認知症を有し、前記支援システムは、認知症の行動または心理症状であるBPSDに対応した刺激情報を有し、前記被支援者の前記刺激に対する刺激応答と前記第1のインタフェース装置から得られたパーソナルな情報、または前記被支援者の前記刺激に対する刺激応答のみに基づき、更なる刺激に対応する刺激データを生成するように構成された、請求項2または請求項2を引用する請求項3乃至10のいずれかに記載の支援システム。 The supported person has dementia, and the support system has stimulus information corresponding to BPSD which is a behavioral or psychological symptom of dementia, the stimulus response to the stimulus of the supported person and the first 3. The apparatus according to claim 2 or 2, wherein the apparatus is configured to generate stimulation data corresponding to further stimulation based only on personal information obtained from an interface device or the stimulation response of the supported person to the stimulation. The support system according to any one of claims 3 to 10, which is cited.
  12.  前記支援システムは、さらに前記被支援者への介護または介助の専門家または医師が利用可能な第2のインタフェース装置からなり、
     当該第2のインタフェース装置は、例えば、パーソナルコンピュータ、スマートフォン、タブレット等の情報処理端末であり、当該専門家または医師が、前記被支援者および前記支援者の少なくともいずれかと通話を図るための通信機能を有する、請求項1乃至11のいずれかに記載の支援システム。
    The support system further includes a second interface device that can be used by a caregiver or assistance specialist or doctor for the supportee,
    The second interface device is, for example, an information processing terminal such as a personal computer, a smartphone, or a tablet, and a communication function for the expert or doctor to make a call with at least one of the supportee and the supporter. The support system according to claim 1, comprising:
  13.  専門家または医師によるさらなる適正な介護または介助を行うために、前記第2のインタフェース装置を介して、前記被支援者のパーソナルな情報の少なくとも一部と、前記情報処理装置によって生成された刺激データによる刺激と前記被支援者の当該刺激に対する刺激応答である活動の情報の少なくとも一部が前記専門家または医師に提供されるように構成された、請求項12に記載の支援システム。 In order to provide further appropriate care or assistance by an expert or doctor, at least a part of personal information of the supportee and stimulation data generated by the information processing device via the second interface device The support system according to claim 12, wherein at least a part of information of an activity that is a stimulus by the support person and a stimulus response of the supportee to the stimulus is provided to the expert or doctor.
  14.  それぞれの被支援者に対して適正な介護及び/または介助が行われるように、個々の疾患の種類、程度及び/または治療経過に対応した治療アルゴリズムを有したソフトウェアモジュールが複数用意され、
     前記疾患は、例えば、認知症、うつ、PTSD、多発性硬化症、パーキンソン病、摂食障害、統合失調、薬物依存、アルコール依存、強迫性障害、またはその他の介護及び/または介助を必要とする疾患であり、
     前記支援システムは、前記複数用意されたソフトウェアモジュールから少なくとも一つのモジュールに対応して実行するように構成されている、請求項1乃至13のいずれかに記載の支援システム。
    A plurality of software modules having treatment algorithms corresponding to the type, degree, and / or treatment course of each disease are prepared so that appropriate care and / or assistance is provided to each supportee,
    The disease requires, for example, dementia, depression, PTSD, multiple sclerosis, Parkinson's disease, eating disorders, schizophrenia, drug dependence, alcoholism, obsessive compulsive disorder, or other care and / or assistance Is a disease,
    The support system according to any one of claims 1 to 13, wherein the support system is configured to execute corresponding to at least one of the plurality of software modules prepared.
  15.  前記ソフトウェアモジュールは、前記第1のインタフェース装置にダウンロードされて実行可能なモジュールであり、前記情報処理装置は、当該ダウンロードされたモジュールに対応して動作するように構成されている、請求項3に少なくとも従属する請求項14に記載の支援システム。 The software module is a module that can be downloaded and executed by the first interface device, and the information processing device is configured to operate corresponding to the downloaded module. 15. The support system according to claim 14, which is at least dependent.
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