Information processing device, information processing system, information processing method, and information processing program

Abstract

To provide an information processing device, information processing system, information processing method and information processing program, which allow a user to grasp the levels of satisfaction of care recipients regarding their current lifestyles.SOLUTION: An information processing device provided herein comprises a first acquisition unit for acquiring lifestyle information regarding a lifestyle of a care recipient continuously detected by a detection unit over a given period, an extraction unit configured to extract features representing the lifestyle of the care recipient during the given period on the basis of the acquired lifestyle information, and an estimation unit configured to estimate the level of satisfaction of the care recipient with the lifestyle based on the extracted features.SELECTED DRAWING: Figure 8

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing system, an information processing method, and an information processing program. [Background technology]

[0002] Japan has seen a remarkable increase in life expectancy due to improvements in living standards, sanitary conditions, and medical standards that came with the rapid economic growth after the war. This, combined with a declining birthrate, has led to an aging society with a high aging rate. In an aging society, it is expected that the number of people who require care or nursing due to illness, injury, aging, etc. will increase.

[0003] To realize a society with a high level of happiness, it is important to improve the QOL of those receiving care such as nursing or caregiving. QOL is an abbreviation for Quality of life. Patent Document 1 proposes a method for estimating the psychological state of a user. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2023-131690 Summary of the Invention [Problem to be solved by the invention]

[0005] In order to improve the QOL of those receiving care, it is desirable to understand whether they are satisfied with their current lifestyle, or more specifically, with the care they are currently receiving. This will enable caregivers to provide care tailored to each individual and improve their QOL.

[0006] The present invention has been made in view of the above circumstances, and aims to provide an information processing device, an information processing system, an information processing method, and an information processing program that are capable of grasping the satisfaction level of a care recipient with their current lifestyle. [Means for solving the problem]

[0007] The above-mentioned problems of the present invention are solved by the following means.

[0008] (1) An information processing device comprising: a first acquisition unit that acquires lifestyle information regarding the living condition of a care recipient that is continuously detected by a detection unit over a predetermined period of time; an extraction unit that extracts features that represent the living condition of the care recipient during the predetermined period based on the acquired lifestyle information; and an estimation unit that estimates the care recipient's satisfaction with life based on the extracted features.

[0009] (2) The information processing device according to (1) above, wherein the detection unit includes at least one of an imaging device, a sound collection device, a wearable terminal, a bed sensor, and a radar sensor.

[0010] (3) The information processing device described in (1) above, wherein the lifestyle information includes information regarding the facial expressions of the care recipient, and the extraction unit extracts at least one of the frequency, number of times, and cumulative time that the care recipient has made a particular facial expression.

[0011] (4) The information processing device according to (3) above, wherein the specific facial expression includes at least one of a smile, a relaxed facial expression, and a cheerful facial expression.

[0012] (5) The information processing device described in (1) above, wherein the lifestyle information includes information regarding the sleep of the care recipient, and the extraction unit extracts at least one of the care recipient's sleep time, time of falling asleep, time of waking up, and number of times waking up during the night.

[0013] (6) The information processing device according to (1) above, wherein the lifestyle information includes information on two or more of the facial expressions, sleep, vital signs, voice, behavior, eating and drinking, and interactions with others of the care recipient.

[0014] (7) The information processing device according to (1), wherein the extraction unit extracts a plurality of the features, and the estimation unit estimates the satisfaction level based on the extracted plurality of the features.

[0015] (8) The information processing device described in (1) above, further comprising a second acquisition unit that acquires event information related to a specific event when the event occurs to the care recipient, and a correction unit that corrects the estimated satisfaction level according to the acquired event information.

[0016] (9) The information processing device according to (8), wherein the correction unit corrects the satisfaction level to a level lower than the estimated satisfaction level.

[0017] (10) The information processing device according to (8), wherein the correction unit corrects the satisfaction level to a level higher than the estimated satisfaction level.

[0018] (11) The information processing device according to (1), wherein the estimation unit estimates the satisfaction level using a machine learning model.

[0019] (12) The information processing device according to (1) above, further comprising: a generating unit that generates satisfaction level information based on the estimated satisfaction level; and an output unit that outputs the generated satisfaction level information.

[0020] (13) An information processing device as described in (12) above, further comprising a reception unit that receives input of the subjective satisfaction level with the life of the care recipient, and the generation unit generates the satisfaction level information based on the estimated satisfaction level and the received subjective satisfaction level.

[0021] (14) The information processing device according to (1), wherein the estimation unit estimates the degree of satisfaction by comparing the extracted features with a standard stored in a storage unit.

[0022] (15) An information processing system including the information processing device according to (1) above and the detection unit.

[0023] (16) An information processing method executed by an information processing device, comprising: acquiring lifestyle information regarding the life of a care recipient that is continuously detected by a detection unit over a predetermined period of time; extracting features that represent the living conditions of the care recipient during the predetermined period based on the acquired lifestyle information; and estimating the care recipient's level of satisfaction with their life based on the extracted features.

[0024] (17) An information processing program for causing the information processing device to execute the information processing method described in (16) above. [Effects of the Invention]

[0025] In the information processing device, information processing system, information processing method, and information processing program according to the present invention, the continuous living condition of a care recipient is detected by a detection unit, and the care recipient's level of satisfaction with life is estimated based on characteristics representing the living condition. This allows, for example, care staff providing care to the care recipient and managers of nursing care facilities to confirm the estimated level of satisfaction. This makes it possible to grasp the care recipient's level of satisfaction with their current life. [Brief explanation of the drawings]

[0026] Advantages and features provided by one or more embodiments of the present invention will be more fully understood from the following detailed description and the accompanying drawings, which are for purposes of illustration only and are not intended to define the limits of the invention. [Figure 1] 1 is a diagram illustrating an overall configuration of an information processing system according to an embodiment. [Figure 2] 2 is a diagram illustrating an example of a state in which the detection unit illustrated in FIG. 1 is installed in a room of a care recipient. [Figure 3] 2 is a block diagram showing a schematic configuration of a detection unit shown in FIG. 1. FIG. [Figure 4] 2 is a block diagram illustrating a schematic configuration of the information processing device illustrated in FIG. 1. [Figure 5] FIG. 2 is a block diagram showing a schematic configuration of the fixed terminal shown in FIG. [Figure 6] FIG. 2 is a block diagram showing a schematic configuration of the mobile terminal shown in FIG. [Figure 7] 2 is a block diagram illustrating an example of a functional configuration of the information processing device illustrated in FIG. 1. [Figure 8] 2 is a flowchart showing an example of processing by the information processing device shown in FIG. 1. [Figure 9] FIG. 10 is a block diagram illustrating an example of a functional configuration of an information processing device according to a first modification. [Figure 10] 10 is a flowchart showing an example of processing by the information processing device shown in FIG. [Figure 11] FIG. 10 is a block diagram illustrating an example of a functional configuration of an information processing device according to a second modification. [Figure 12] 12 is a flowchart showing an example of processing by the information processing device shown in FIG. DETAILED DESCRIPTION OF THE INVENTION

[0027] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, the scope of the present invention is not limited to the disclosed embodiments. In the description of the drawings, the same elements are denoted by the same reference numerals, and duplicate explanations will be omitted. Furthermore, the dimensional proportions in the drawings are exaggerated for the convenience of explanation and may differ from the actual proportions.

[0028] In this specification, the term "care recipient" broadly includes anyone who needs to be notified when a specific adverse event, such as an abnormal condition, occurs. Examples of care recipients include people requiring care, patients, and people requiring assistance. Types of care broadly include care provided by caregivers to care recipients. Examples of care include toileting care, bathing care, eating care, mobility care, supervision care, patrol care, turning care, and creating care records. Care also includes assistance with daily living, such as preparing meals and cleaning.

[0029] <Embodiment> [Overall configuration of information processing system 1] FIG. 1 is a diagram illustrating the overall configuration of an information processing system 1 according to an embodiment. The information processing system 1 includes a plurality of detectors 10, an information processing device 20, a fixed terminal 30, and one or more mobile terminals 40. The detectors 10, the information processing device 20, the fixed terminals 30, and the mobile terminals 40 are connected to each other via a network 50, such as a LAN, a telephone network, or a data communication network, either wired or wirelessly, so as to be able to communicate with each other. LAN is an abbreviation for Local Area Network. The network 50 may include a repeater that relays communication signals. In the example illustrated in FIG. 1, the detectors 10, the information processing device 20, the fixed terminals 30, and the mobile terminals 40 are connected to each other via a network 50, such as a wireless LAN that includes an access point 51, so as to be able to communicate with each other. The wireless LAN is, for example, a LAN conforming to the IEEE 802.11 standard.

[0030] The information processing system 1 is installed in a building of a nursing care facility such as a hospital or a welfare facility for the elderly. For example, a plurality of care recipients 80 reside in this facility. For example, a plurality of care staff members 70 who provide care for the care recipients 80 work in the facility. The facility is provided with rooms and care stations for each of the plurality of care recipients 80. Hereinafter, the rooms in which the care recipients 80 reside will also be simply referred to as "rooms."

[0031] The detection unit 10 is disposed, for example, in each room of the plurality of care recipients 80. In the example shown in FIG. 1 , a detection unit 10 is disposed in each room of the care recipients 80, namely, A, B, C, and D, on floor 1. Although not shown, a detection unit 10 is also disposed in each room of the care recipients 80 on other floors. Each of the plurality of care staff 70 carries a mobile terminal 40. For example, when the detection unit 10 detects that the care recipient 80 needs care, the detection unit 10 transmits predetermined information to the mobile terminal 40 via the information processing device 20. The information processing device 20 may be an external device connected to the network 50. The information processing system 1 may not include the fixed terminal 30, and the information processing device 20 or the mobile terminal 40 may have the function of the fixed terminal 30.

[0032] [Configuration of detection unit 10] FIG. 2 shows the interior of a room of a care recipient 80 in which the detection unit 10 is arranged. FIG. 3 is a block diagram showing the hardware configuration of the detection unit 10. The detection unit 10 includes, for example, a control unit 11, a communication unit 12, a memory unit 13, a camera 14, a bed sensor 15, and a care call unit 16. The control unit 11, the communication unit 12, the memory unit 13, the camera 14, the bed sensor 15, and the care call unit 16 are connected to each other by a bus. The components of the detection unit 10 may be implemented in a single housing or in separate housings.

[0033] The control unit 11 includes a CPU, RAM, ROM, etc. CPU is an abbreviation for Central Processing Unit. RAM is an abbreviation for Random Access Memory. ROM is an abbreviation for Read Only Memory. The control unit 11 controls each part of the detection unit 10 and performs arithmetic processing according to a program. The functions of the control unit 11 will be described in detail later.

[0034] The communication unit 12 is an interface circuit for communicating with, for example, the information processing device 20 via a LAN. The interface circuit is, for example, a LAN card and a wireless communication circuit.

[0035] The storage unit 13 includes an HDD, an SSD, etc. HDD is an abbreviation for Hard Disk Drive. SSD is an abbreviation for Solid State Drive. The storage unit 13 stores various programs and various data.

[0036] The camera 14 is disposed, for example, on the ceiling of the room. The camera 14 includes, for example, an imaging device and a sound collecting device. The imaging device may capture an image of a capture area including the bed 90 in the room and output the captured image. The imaging device may include an imaging optical system and a two-dimensional imaging element. The captured image includes still images and videos. The sound collecting device is, for example, a microphone, and collects sounds in the room. The camera 14 may be, for example, a visible light camera or a near-infrared camera. Hereinafter, the captured image captured by the camera 14 will also be simply referred to as a "captured image." The camera 14 may be installed outside the room, for example, in a shared space of the facility. The camera 14 may be installed, for example, in a dining room.

[0037] The bed sensor 15 is placed, for example, under a mattress on the bed 90. The bed sensor 15 outputs a signal corresponding to the load on the bed 90. The bed sensor 15 may be composed of, for example, a sheet-like bag filled with air and a piezoelectric sensor that detects fluctuations in the air pressure. The bed sensor 15 can detect whether the care recipient 80 is present on the bed 90.

[0038] The bed sensor 15 may detect the body movement of the care recipient 80. The body movement of the care recipient 80 is, for example, respiratory movement. The bed sensor 15, for example, transmits microwaves to a predetermined irradiation area and receives reflected waves, thereby detecting the Doppler shift of the microwaves generated between the transmitted waves and the reflected waves as body movement. The predetermined irradiation area is an area where microwaves can be irradiated onto the care recipient 80, and may be, for example, an area including part or all of the bed 90. The bed sensor 15 can detect chest body movement associated with the breathing of the care recipient 80. The bed sensor 15 can detect a disruption in the period of chest body movement of the care recipient 80 or the amplitude of chest body movement of the care recipient 80, and can detect abnormal slight body movement.

[0039] The care call unit 16 is placed, for example, at an appropriate position on a wall. The care call unit 16 includes a push-button switch and detects a care call when the care recipient 80 presses the switch. The care call unit 16 may also include an audio microphone. The care call unit 16 detects a care call based on the voice of the care recipient 80. The care call unit 16 may also include a microphone and speaker for voice communication with the mobile terminal 40.

[0040] The detection unit 10 may include a wearable terminal attached to the care recipient 80. The wearable terminal is, for example, a smart watch. The wearable terminal detects, for example, the vital signs of the care recipient 80. The vital signs of the care recipient 80 include, for example, at least one of pulse rate, heart rate, respiration, blood pressure, and body temperature.

[0041] The detection unit 10 may include a radar sensor. This radar sensor is installed, for example, in the room of the care recipient 80. The radar sensor is, for example, a human presence sensor, and detects the presence or absence of a person in the room of the care recipient 80. The radar sensor may also detect the number of people present in the room of the care recipient 80.

[0042] The control unit 11 continuously recognizes the behavior of the care recipient 80 from the images captured by the camera 14. The recognized behaviors include, for example, getting up from bed, getting up from a seat, falling, dropping, walking, and going out.

[0043] The control unit 11 detects image silhouettes from multiple captured images. These silhouettes are hereinafter referred to as "human silhouettes." Human silhouettes can be detected, for example, by extracting a range of pixels with relatively large differences using time subtraction, which subtracts images captured at different times. Human silhouettes may also be detected using background subtraction, which subtracts a background image from a captured image. Human silhouettes may also be replaced by joint points detected from captured images using a trained neural network model. The behavior of the care recipient 80 can be detected from temporal changes in the posture of the care recipient 80, recognized based on the human silhouette. The posture of the care recipient 80 may be, for example, standing, sitting, or lying down. The behavior of the care recipient 80 may also be detected from the relative positional relationship between the human silhouette and objects in the room, such as the bed 90. For example, "getting up" may be detected as the behavior of the human silhouette crossing the area of ​​the bed 90, which is preset as a coordinate area in the captured image.

[0044] The control unit 11 continuously recognizes the facial expression of the care recipient 80 from the images captured by the camera 14. The recognized facial expressions include, for example, a smiling face. The recognized facial expressions may include a relaxed or cheerful face. The recognized facial expressions may include a displeased face, an angry face, a sad face, etc.

[0045] The control unit 11 continuously recognizes the sleep state of the care recipient 80 from the detection results of at least one of the camera 14 and the bed sensor 15. The recognized sleep state includes, for example, the time of falling asleep, the time of waking up, and the duration of sleep. The recognized sleep state may also include, for example, the number of times the care recipient 80 wakes up during the night.

[0046] The control unit 11 continuously recognizes the eating and drinking state of the care recipient 80, for example, from images captured by the camera 14. The recognized eating and drinking state includes, for example, the amount of food eaten and the amount of water consumed. The control unit 11 continuously recognizes, for example, from images captured by the camera 14, the state of interaction of the care recipient 80 with others. The others include, for example, family members, care staff 70, other care recipients 80, etc.

[0047] The control unit 11 continuously recognizes the voice of the care recipient 80 from the detection results of the sound collection device included in the camera 14. The control unit 11 continuously recognizes the vital signs of the care recipient 80 from the detection results of the wearable terminal. The control unit 11 continuously recognizes the presence or absence of a person in the room of the care recipient 80 from the detection results of the radar sensor.

[0048] The detection results by the detection unit 10 are transmitted to the information processing device 20 and can be used to generate lifestyle information related to the living conditions of the care recipient 80, which will be described later. Based on the detection results by the detection unit 10, the information processing device 20 may continuously recognize the behavior, facial expression, sleeping state, eating and drinking state, state of interaction with others, voice, vital signs, presence or absence of people in the room, etc. of the care recipient 80.

[0049] The detection result by the detection unit 10 may be reflected in the care record of the care recipient 80. Furthermore, the detection result by the detection unit 10 may be transmitted to the information processing device 20 and stored in the storage unit 23 described below.

[0050] [Configuration of information processing device 20] FIG. 4 is a block diagram showing the hardware configuration of the information processing device 20. The information processing device 20 is, for example, a computer such as a server or a PC. PC is an abbreviation for personal computer. The information processing device 20 may be, for example, a smartphone or a tablet PC. The information processing device 20 may be composed of multiple devices, or may be virtually configured as a cloud server using a large number of servers. The information processing device 20 may be configured as an on-premise server or a cloud server. The information processing device 20 includes, for example, a control unit 21, a communication unit 22, and a memory unit 23. The control unit 21, the communication unit 22, and the memory unit 23 are connected to each other by a bus. Here, the information processing device 20 estimates the life satisfaction level of the care recipient 80 based on the detection result by the detection unit 10.

[0051] The control unit 21 includes a CPU, RAM, ROM, etc. The control unit 21 controls each unit of the information processing device 20 and performs arithmetic processing according to an information processing program. The functions of the control unit 21 will be described in detail later.

[0052] The communication unit 22 is configured with an interface circuit for communicating with, for example, the detection unit 10, the fixed terminal 30, the mobile terminal 40, and the like via a LAN.

[0053] The storage unit 23 is configured with an HDD, an SSD, etc., and stores an OS, various programs such as an information processing program, and various data. OS is an abbreviation for Operating System. The storage unit 23 stores programs and data for estimating the care recipient 80's level of satisfaction with life. The storage unit 23 stores, for example, care recipient information about the care recipient 80. The care recipient information includes, for example, information about the care recipient 80's name, date of birth, gender, health condition, etc.

[0054] [Configuration of fixed terminal 30] 5 is a block diagram showing the hardware configuration of the fixed terminal 30. The fixed terminal 30 is, for example, a facility PC (Personal Computer) and is used by, for example, a facility administrator. The administrator is, for example, a manager who supervises a plurality of care staff 70. The fixed terminal 30 includes, for example, a control unit 31, a communication unit 32, a storage unit 33, a display unit 34, and an input unit 35. The basic configurations of the control unit 31, the communication unit 32, and the storage unit 33 are similar to the configurations of the corresponding elements of the information processing device 20, and therefore, redundant explanations will be omitted.

[0055] The display unit 34 is configured with a display (for example, a liquid crystal display) and displays various information. The input unit 35 is configured with a keyboard or a touch panel and accepts operational input of various information by the business operator or administrator, etc.

[0056] [Configuration of mobile terminal 40] 6 is a block diagram showing the hardware configuration of the mobile terminal 40. The mobile terminal 40 includes a control unit 41, a wireless communication unit 42, a storage unit 43, an input / display unit 44, an audio input / output unit 45, and a position detection unit 46. The control unit 41, the wireless communication unit 42, the storage unit 43, the input / display unit 44, the audio input / output unit 45, and the position detection unit 46 are connected to each other via a bus. The mobile terminal 40 may be configured by a portable communication terminal device such as a tablet computer, a smartphone, or a mobile phone. The basic configuration of the control unit 41 is similar to the configuration of the control unit 21 of the information processing device 20, so a redundant description will be omitted.

[0057] The wireless communication unit 42 communicates wirelessly with each device directly or via an access point 51 using wireless communication standards such as Wi-Fi and Bluetooth (registered trademark).

[0058] The storage unit 43 is configured by an SSD or an SD card, and stores mobile applications compatible with the information processing system 1, various programs, and various data.

[0059] The input display unit 44 is configured by, for example, a touch panel in which a touch sensor is superimposed on a display surface of a liquid crystal display, etc. The input display unit 44 displays various information and receives various inputs.

[0060] The voice input / output unit 45 is, for example, a speaker and a microphone, and enables the care staff 70 to make voice calls to other mobile terminals 40 via the wireless communication unit 42. The voice input / output unit 45 enables the care staff 70 to make voice calls to the care recipient 80 via the wireless communication unit 42 and the detection unit 10 via the information processing device 20.

[0061] The position detection unit 46 is a GPS module or the like, and detects the position of the mobile terminal 40. The position of the mobile terminal 40 may be detected by the control unit 41 using signals transmitted from beacons installed at predetermined installation positions.

[0062] [Functions of the control unit 21] 7 is a functional block diagram of the control unit 21 of the information processing device 20. The control unit 21 functions as, for example, a first acquisition unit 211, an extraction unit 212, an estimation unit 213, a generation unit 214, and an output unit 215. These functions are realized by the CPU executing an information processing program.

[0063] The first acquisition unit 211 acquires lifestyle information. The lifestyle information is information about the lifestyle of the care recipient 80 that is continuously detected by the detection unit 10 over a predetermined period of time. The predetermined period is, for example, several hours or more, preferably 24 hours or more. The lifestyle information includes, for example, information about at least one of the care recipient 80's facial expression, sleep, vital signs, voice, behavior, eating and drinking, and interactions with others. The lifestyle information preferably includes information about two or more of the care recipient 80's facial expression, sleep, vital signs, voice, behavior, eating and drinking, and interactions with others. This makes it possible to estimate the care recipient 80's satisfaction with life in a more realistic manner. The first acquisition unit 211 acquires lifestyle information about each of the multiple care recipients 80, for example.

[0064] The first acquisition unit 211 acquires the lifestyle information from, for example, the detection unit 10. The first acquisition unit 211 may acquire the lifestyle information from the storage unit 23 of the information processing device 20. The first acquisition unit 211 may acquire the lifestyle information from, for example, an external storage device.

[0065] The extraction unit 212 extracts features that represent the living conditions of the care recipient 80 over a predetermined period of time based on the living information acquired by the first acquisition unit 211. For example, when the first acquisition unit 211 acquires living information including information about the facial expressions of the care recipient 80, the extraction unit 212 extracts at least one of the frequency, number of times, ratio, and cumulative value of time that the care recipient 80 has made a specific facial expression. The specific facial expression is, for example, a smile. Because the care recipient 80 may have a more natural facial expression when separated from the care staff 70, the extraction unit 212 may extract, for example, the frequency with which the care recipient 80 has made a specific facial expression when separated from the care staff 70.

[0066] For example, when the first acquisition unit 211 acquires lifestyle information including information regarding the sleep of the care recipient 80, the extraction unit 212 extracts at least one of the care recipient 80's sleeping time, time of falling asleep, time of waking up, and number of times the care recipient 80 wakes up during the night.

[0067] For example, when the first acquisition unit 211 acquires life information including information related to the voice of the care recipient 80, the extraction unit 212 extracts the frequency, number of times, ratio, or cumulative value of the time that the care recipient 80 speaks in a particular tone. The particular tone is, for example, a bright tone.

[0068] For example, when the first acquisition unit 211 acquires the lifestyle information including information on the behavior of the care recipient 80, the extraction unit 212 extracts the frequency, number of times, speed, required time, etc. of a specific behavior of the care recipient 80. The specific behavior is, for example, moving outside the room, a repetitive behavior, getting out of bed, etc.

[0069] For example, when the first acquisition unit 211 acquires lifestyle information including information about the eating and drinking habits of the care recipient 80, the extraction unit 212 extracts the amount of food eaten by the care recipient 80, etc. For example, when the first acquisition unit 211 acquires lifestyle information including information about the care recipient 80's interactions with others, the extraction unit 212 extracts the number of times the care recipient 80 communicates with others, etc.

[0070] The extraction unit 212 preferably extracts a plurality of features that represent the living conditions of the care recipient 80. The estimation unit 213 estimates the degree of satisfaction with life of the care recipient 80 using the plurality of features, thereby making it possible to estimate the degree of satisfaction with life of the care recipient 80 in accordance with the actual situation.

[0071] The estimation unit 213 estimates the life satisfaction level of the care recipient 80 based on the features extracted by the extraction unit 212. The estimation unit 213 estimates the life satisfaction level of the care recipient 80 based on, for example, a plurality of features. The estimation unit 213 estimates the life satisfaction level of the care recipient 80 using, for example, a machine learning model. In this machine learning model, a large number of previously prepared data sets are machine-learned as learning sample data. The data sets are data sets in which features representing the living conditions of the care recipient 80 are input and in which satisfaction level is output. A machine learning model may be created for each care recipient 80. By inputting the features extracted by the extraction unit 212 into this machine learning model, the life satisfaction level of the care recipient 80 is output. The estimation unit 213 estimates, for example, a score corresponding to the satisfaction level. The estimation unit 213 may estimate a level corresponding to the satisfaction level. For example, the estimation unit 213 may estimate a two-level satisfaction level, such as "high" and "low."

[0072] The estimation unit 213 may estimate the degree of satisfaction with life of the care recipient 80 by comparing the features extracted by the extraction unit 212 with a standard. This standard is stored in the storage unit 23, for example.

[0073] For example, the higher the proportion of time during which the care recipient 80 is smiling, expressing a relaxed mood, or expressing a cheerful mood during his / her waking hours, the more the estimation unit 213 estimates that the care recipient 80 is more satisfied with his / her life.

[0074] For example, the longer the sleeping hours of the care recipient 80, the higher the estimation unit 213 estimates that the care recipient 80 is satisfied with life. For example, the fewer times the care recipient 80 wakes up during the night, the higher the estimation unit 213 estimates that the care recipient 80 is satisfied with life.

[0075] For example, the shorter the time between when the care recipient 80 wakes up in bed 90 and when he or she gets out of bed, the more the estimation unit 213 estimates that the care recipient 80 is more satisfied with life. For example, the less repetitive behavior the care recipient 80 performs in the room, the more the estimation unit 213 estimates that the care recipient 80 is more satisfied with life. For example, the more the care recipient 80 moves during the day, the more the estimation unit 213 estimates that the care recipient 80 is more satisfied with life. For example, the faster the care recipient 80 starts moving, the more the estimation unit 213 estimates that the care recipient 80 is more satisfied with life. For example, the more times the care recipient 80 moves to a space for hobbies or the like, the more the estimation unit 213 estimates that the care recipient 80 is more satisfied with life.

[0076] For example, the higher the ratio of the time during which the care recipient 80 speaks in a bright tone to the total time during which the care recipient 80 speaks, the more the estimation unit 213 estimates that the care recipient 80 is more satisfied with life.

[0077] For example, the more the amount of food eaten by the care recipient 80, the higher the estimation unit 213 estimates that the care recipient 80 is satisfied with life. For example, the more the frequency with which the care recipient 80 communicates with others, the higher the estimation unit 213 estimates that the care recipient 80 is satisfied with life.

[0078] The estimation unit 213 estimates the life satisfaction of the care recipient 80 on a daily basis, for example. The estimation unit 213 may estimate the life satisfaction of the care recipient 80 on a longer time basis, for example, on a weekly basis. In this case, the estimation unit 213 may estimate the life satisfaction of the care recipient 80 on a longer time basis, for example, based on the life satisfaction of the care recipient 80 estimated on a daily basis. For example, when there are four or more days in a week on which the life satisfaction of the care recipient 80 is "high," the estimation unit 213 estimates that the life satisfaction of the care recipient 80 for that week is "high." The estimation unit 213 may estimate the life satisfaction of the care recipient 80 for each item, such as sleep, meals, and excretion.

[0079] The generating unit 214 generates satisfaction level information based on the satisfaction level estimated by the estimating unit 213. The satisfaction level information may be the satisfaction level estimated by the estimating unit 213 itself.

[0080] The output unit 215 outputs the satisfaction level information generated by the generation unit 214. The output unit 215 outputs the satisfaction level information, for example, by displaying the satisfaction level on the display unit 34 of the fixed terminal 30 in association with the name or the like of the care recipient 80.

[0081] [Processing method of information processing device 20] 8 is a flowchart for explaining the processing procedure of the information processing method by the information processing device 20. The processing of the flowchart shown in the figure is realized by the CPU executing an information processing program.

[0082] (Step S101) First, the information processing device 20 acquires lifestyle information of the care recipient 80 for a predetermined period. The information processing device 20 acquires lifestyle information including, for example, information about the facial expressions of the care recipient 80 for the predetermined period. The information about the facial expressions of the care recipient 80 is generated based on, for example, an image of the care recipient 80 captured by the camera 14 of the detection unit 10. The detection unit 10 may generate the lifestyle information, or the information processing device 20 may generate the lifestyle information based on the detection result of the detection unit 10.

[0083] (Step S102) Next, the information processing device 20 extracts features that represent the living conditions of the care recipient 80 for a predetermined period based on the living information acquired in step S101. For example, if the care recipient 80 was awake for 14 hours on May 1st and the cumulative value of the time that he or she smiled was 4 hours, the extraction unit 212 extracts a time ratio of 28.6% for the care recipient 80 that he or she smiled on May 1st.

[0084] (Step S103) Next, the information processing device 20 estimates the life satisfaction level of the care recipient 80 based on the features extracted in step S102. For example, the information processing device 20 estimates the life satisfaction level of the care recipient 80 on May 1 by inputting a time ratio of 28.6% that the care recipient 80 smiles on May 1 into a machine learning model. Alternatively, the information processing device 20 may estimate the life satisfaction level of the care recipient 80 on May 1 by comparing the time ratio of 28.6% that the care recipient 80 smiles on May 1 with a standard ratio of 25% stored in the memory unit 23. For example, because the time ratio of the care recipient 80 smiling on May 1 is greater than the standard ratio of 25%, the information processing device 20 estimates that the life satisfaction level of the care recipient 80 on May 1 is "high."

[0085] (Step S104) Next, the information processing device 20 generates satisfaction degree information based on the satisfaction degree estimated in step S103.

[0086] (Step S105) Thereafter, the information processing device 20 outputs the satisfaction level information generated in step S104 and ends the process.

[0087] [Operational Effects of the Information Processing Device 20 and the Information Processing System 1] In the information processing device 20 and information processing system 1 according to this embodiment, the continuous living condition of the care recipient 80 is detected by the detection unit 10, and the care recipient 80's degree of satisfaction with life is estimated based on the characteristics representing the living condition. This allows, for example, the care staff 70 who provides care to the care recipient 80 or a facility manager to confirm the estimated degree of satisfaction. This makes it possible to grasp the care recipient 80's degree of satisfaction with their current life. The effects of this will be described below.

[0088] In nursing care services, it is desirable to understand the satisfaction of care recipients in order to improve quality. However, nursing care services have many unique aspects compared to other services, such as food and beverage services. First, many care recipients suffer from dementia or are physically disabled. Such care recipients may find it difficult to actively express their opinions through questionnaires. Furthermore, nursing care services involve long periods of close contact between caregivers and care recipients. Therefore, even if care recipients feel somewhat dissatisfied with the service, they may hesitate to honestly express their feelings due to strong feelings of gratitude and intimacy toward the caregiver. Alternatively, if care recipients experience harassment or abuse from their caregiver, they may be reluctant to disclose the facts for fear of worsening the situation. Due to these unique circumstances of nursing care services, applying satisfaction survey methods used in other services, such as questionnaire surveys, to nursing care services will not produce appropriate results.

[0089] Another possible method is for the caregiver to observe the care recipient and evaluate their level of satisfaction. However, this method involves the service provider evaluating their own service, which can be unobjective.

[0090] In contrast, in the information processing device 20, the detection unit 10 continuously detects the living conditions of the care recipient 80, and estimates the care recipient's 80 level of satisfaction with life based on characteristics that represent the living conditions. Therefore, the care recipient's 80 level of satisfaction with life can be estimated objectively without relying on the care recipient's 80 active expression of intent, such as through a questionnaire. Because the care recipient 80 receives nursing care services over a long period of time, satisfaction with the nursing care services is likely to be directly linked to satisfaction with life. By allowing the care staff 70 and facility managers, etc., to grasp the estimated level of satisfaction with life of the care recipient 80, it becomes possible to provide care tailored to the care recipient 80, thereby improving the care recipient's QOL.

[0091] Furthermore, since the detection unit 10 continuously detects the living condition of the care recipient 80, it is possible to estimate the life satisfaction of the care recipient 80 in various situations. For example, dementia patients and bedridden patients tend to have little change in facial expression and voice. For such care recipients 80, it is difficult to appropriately estimate the satisfaction of the care recipient 80 by detecting their facial expression and voice only once. Here, since the detection unit 10 continuously detects the living condition of the care recipient 80, it is possible to appropriately estimate the life satisfaction of the care recipient 80 even for care recipients 80 who have little change in facial expression and voice.

[0092] Furthermore, the care staff 70 and the facility manager or the like can also determine the QOL of the care recipient 80 by adding other evaluations to the life satisfaction of the care recipient 80 estimated by the information processing device 20. The other evaluations are, for example, evaluations of the life satisfaction of the care recipient 80 based on the observation results of the care staff 70 or the like.

[0093] Modifications of the above embodiment will be described below, but the same components as those in the above embodiment will be given the same reference numerals and descriptions thereof will be omitted.

[0094] <Variation 1> 9 shows the functional configuration of an information processing device 20 according to Modification 1. This information processing device 20 functions as a second acquisition unit 216 and a correction unit 217 in addition to a first acquisition unit 211, an extraction unit 212, an estimation unit 213, a generation unit 214, and an output unit 215. Except for this point, the information processing device 20 according to this modification has the same configuration as the information processing device 20 described in the above embodiment, and achieves the same effects.

[0095] When a specific event occurs to the care recipient 80, the second acquisition unit 216 acquires event information related to the event. The specific event is, for example, violent behavior by the care recipient 80, such as violent behavior and screaming. The specific event may also be symptoms and behaviors that lead to a decrease in the care recipient 80's QOL, such as insomnia. The specific event may also be behaviors that lead to an improvement in the care recipient's QOL, such as excretion in the toilet. The event information includes, for example, information regarding the type of event and the date and time of the event. For example, the information processing device 20 determines whether a specific event has occurred based on an image of the care recipient 80 captured by the camera 14 of the detection unit 10. When the information processing device 20 determines that a specific event has occurred, it generates event information and stores it in, for example, the memory unit 23. The detection unit 10 may determine whether a specific event has occurred and generate the event information.

[0096] The correction unit 217 corrects the satisfaction level estimated by the estimation unit 213 according to the event information acquired by the second acquisition unit 216. For example, the second acquisition unit 216 acquires event information related to the cry of the care recipient 80. At this time, the correction unit 217 corrects the satisfaction level to a level lower than the satisfaction level estimated by the estimation unit 213. For example, when the estimation unit 213 has estimated that the life satisfaction level of the care recipient 80 on May 1st is "high," the correction unit 217 corrects the life satisfaction level of the care recipient 80 on May 1st to "low."

[0097] For example, the second acquisition unit 216 acquires event information related to excretion in the toilet of the care recipient 80. At this time, the correction unit 217 corrects the level of satisfaction to a higher level than the level of satisfaction estimated by the estimation unit 213. For example, when the estimation unit 213 estimates that the level of satisfaction with life of the care recipient 80 on May 1st is "low," the correction unit 217 corrects the level of satisfaction with life of the care recipient 80 on May 1st to "high."

[0098] The correction unit 217 may correct the satisfaction level when a specific event occurs to the care recipient 80, or may correct the satisfaction level according to the number of occurrences of the specific event, etc. The satisfaction level correction conditions may be different for each care recipient 80. The satisfaction level correction conditions may be determined according to input from the care staff 70, etc.

[0099] When the satisfaction degree is corrected by the correction unit 217, the generation unit 214 generates satisfaction degree information based on the corrected satisfaction degree.

[0100] FIG. 10 is a flowchart illustrating the processing procedure of the information processing method by the information processing device 20.

[0101] (Steps S201 to S203) The information processing device 20 performs the processes of steps S201 to S203 in the same manner as steps S101 to S103 described in the above embodiment.

[0102] (Step S204) Next, the information processing device 20 determines whether a specific event has occurred for the care recipient 80. The information processing device 20 determines whether a specific event has occurred for the care recipient 80, for example, based on an image of the care recipient 80 captured by the camera 14 of the detection unit 10. When the information processing device 20 determines that a specific event has occurred for the care recipient 80, that is, when step S204 is YES, the information processing device 20 proceeds to processing of step S205. When the information processing device 20 determines that a specific event has not occurred for the care recipient 80, that is, when step S204 is NO, the information processing device 20 proceeds to processing of step S208.

[0103] (Step S205) The information processing device 20 acquires the event information from, for example, the storage unit 23.

[0104] (Step S206) The information processing device 20 determines whether or not the satisfaction level estimated in step S203 needs to be corrected based on the event information acquired in step S205. When the information processing device 20 determines that the satisfaction level needs to be corrected, that is, when step S206 is YES, the information processing device 20 proceeds to processing in step S207. When the information processing device 20 determines that the satisfaction level does not need to be corrected, that is, when step S206 is NO, the information processing device 20 proceeds to processing in step S208.

[0105] (Step S207) The information processing device 20 corrects the degree of satisfaction estimated in step S203.

[0106] (Step S208) Next, the information processing device 20 generates satisfaction degree information based on the satisfaction degree estimated in step S203 or based on the satisfaction degree corrected in step S207.

[0107] (Step S209) Thereafter, the information processing device 20 outputs the satisfaction level information generated in step S208 and ends the process.

[0108] In the information processing device 20 according to this modification, similarly to the information processing device 20 according to the above embodiment, the detection unit 10 detects the ongoing living conditions of the care recipient 80, and estimates the level of satisfaction with life of the care recipient 80 based on the characteristics representing the living conditions. This allows, for example, the care staff 70 who provides care to the care recipient 80 or a facility manager to confirm the estimated level of satisfaction. This makes it possible to grasp the level of satisfaction of the care recipient 80 with their current life.

[0109] Furthermore, in this information processing device 20, the satisfaction level can be corrected when a specific event occurs to the care recipient 80. This makes it possible to estimate the satisfaction level of the care recipient 80 with life from more various perspectives.

[0110] <Variation 2> 11 shows the functional configuration of an information processing device 20 according to Modification 2. This information processing device 20 functions as a reception unit 218 in addition to a first acquisition unit 211, an extraction unit 212, an estimation unit 213, a generation unit 214, and an output unit 215. Except for this point, the information processing device 20 according to this modification has the same configuration as the information processing device 20 described in the above embodiment, and achieves the same effects.

[0111] The reception unit 218 receives an input of the subjective satisfaction level with respect to the life of the care recipient 80. This subjective satisfaction level is subjectively evaluated, for example, by the care staff 70, the family of the care recipient 80, or the care recipient 80 himself / herself. For example, the care staff 70 or a facility manager inputs the subjective satisfaction level via the input unit 35 of the fixed terminal 30 or the input / display unit 44 of the mobile terminal 40. The fixed terminal 30 or the mobile terminal 40 transmits the input subjective satisfaction level to the information processing device 20. As a result, the reception unit 218 receives the input of the subjective satisfaction level.

[0112] The generation unit 214 generates satisfaction level information based on the estimated satisfaction level and the input subjective satisfaction level. The output unit 215 outputs the satisfaction level information, for example, by displaying the estimated satisfaction level and the input subjective satisfaction level so that they can be compared on the display unit 34. The output unit 215 may display on the display unit 34 an item for which there is a significant discrepancy between the estimated satisfaction level and the input subjective satisfaction level, distinguishing it from other items.

[0113] FIG. 12 is a flowchart illustrating the processing procedure of the information processing method by the information processing device 20.

[0114] (Steps S301 to S303) The information processing device 20 performs the processes of steps S301 to S303 in the same manner as steps S101 to S103 described in the above embodiment.

[0115] (Step S304) Next, the information processing device 20 accepts an input of the subjective satisfaction level. The information processing device 20 may accept an input of the subjective satisfaction level before the process of step S303.

[0116] (Step S305) Next, the information processing device 20 generates satisfaction degree information based on the satisfaction degree estimated in step S303 and the subjective satisfaction degree received in step S304.

[0117] (Step S306) Thereafter, the information processing device 20 outputs the satisfaction level information generated in step S305 and ends the process.

[0118] In the information processing device 20 according to this modification, similarly to the information processing device 20 according to the above embodiment, the detection unit 10 detects the ongoing living conditions of the care recipient 80, and estimates the level of satisfaction with life of the care recipient 80 based on the characteristics representing the living conditions. This allows, for example, the care staff 70 who provides care to the care recipient 80 or a facility manager to confirm the estimated level of satisfaction. This makes it possible to grasp the level of satisfaction of the care recipient 80 with their current life.

[0119] The information processing device 20 also accepts input of subjective satisfaction. This allows the care staff 70 and facility managers to compare the estimated satisfaction with the subjective satisfaction and use the information to improve care services. Furthermore, the care staff 70 and facility managers can examine the satisfaction of the care recipient 80 with their lives from a more multifaceted perspective.

[0120] The configurations of the information processing system 1 and the information processing device 20 described above are the main configurations described in order to explain the features of the above-mentioned embodiment, but are not limited to the above configurations and may be modified in various ways within the scope of the claims. Furthermore, configurations that are included in general information processing systems are not excluded.

[0121] For example, the functions of the information processing device 20 may be provided by any one of the detection unit 10, the fixed terminal 30, and the mobile terminal 40.

[0122] Furthermore, the detection unit 10, the information processing device 20, the fixed terminal 30, and the mobile terminal 40 may each be configured by a plurality of devices, or any of a plurality of devices may be configured as a single device.

[0123] The detection unit 10 may also be installed in the care recipient 80's home or the like.

[0124] Furthermore, the above-described flowcharts may include steps other than those shown in the flowcharts, or some steps may not be included. The order of the steps is not limited to the above-described embodiment. Furthermore, each step may be combined with other steps and executed as a single step, may be included in other steps and executed, or may be divided into multiple steps and executed.

[0125] The means and methods for performing the various processes in the information processing device 20 described above can be realized by either a dedicated hardware circuit or a programmed computer. The program may be provided by a computer-readable recording medium such as a USB memory or a DVD (Digital Versatile Disc)-ROM, or may be provided online via a network such as the Internet. In this case, the program recorded on the computer-readable recording medium is typically transferred to and stored in a storage unit such as a hard disk. The program may be provided as standalone application software, or may be incorporated as a function into the software of a server or other device.

[0126] While embodiments of the present invention have been described and illustrated in detail, the disclosed embodiments are made for purposes of illustration and example only and are not intended to be limiting, and the scope of the present invention should be construed by the language of the appended claims. [Explanation of symbols]

[0127] 1 Information processing system, 10 detection unit, 11 control section, 12 Communications Department, 13 storage section, 14 cameras, 15 Bed Sensor 16 Care Call Department, 20 Information processing device, 21 control section, 22 Communications Department, 23 storage section, 30 fixed terminals, 31 control section, 32 Communications Department, 33 Memory section, 34 Display section, 35 input section, 40 mobile devices, 41 control section, 42 Radio Communication Department, 43 Display section, 44 input section, 45 Audio input / output unit, 46 position detection unit, 50 networks, 51 access points.

Claims

1. a first acquisition unit that acquires life information regarding the living condition of the care recipient that is continuously detected by the detection unit over a predetermined period of time; an extraction unit that extracts features representing a living condition of the care receiver during the predetermined period based on the acquired living information; an estimation unit that estimates the care recipient's level of satisfaction with life based on the extracted features; An information processing device comprising:

2. The information processing device according to claim 1 , wherein the detection unit includes at least one of an imaging device, a sound collection device, a wearable device, a bed sensor, and a radar sensor.

3. The lifestyle information includes information regarding facial expressions of the care recipient, The information processing device according to claim 1 , wherein the extraction unit extracts at least one of the frequency, the number of times, and the cumulative value of the time that the care recipient shows a particular facial expression.

4. The information processing device according to claim 3 , wherein the specific facial expression includes at least one of a smiling face, a relaxed facial expression, and a cheerful facial expression.

5. the lifestyle information includes information about the care recipient's sleep, The information processing device according to claim 1 , wherein the extraction unit extracts at least one of the care recipient's sleeping hours, falling asleep time, waking time, and number of times the care recipient wakes up during the night.

6. The information processing device according to claim 1 , wherein the lifestyle information includes information on two or more of the care recipient's facial expressions, sleep, vital signs, voice, behavior, eating and drinking, and interactions with others.

7. The extraction unit extracts a plurality of the features; The information processing device according to claim 1 , wherein the estimation unit estimates the satisfaction level based on the extracted features.

8. a second acquisition unit that acquires, when a specific event occurs in the care recipient, event information related to the event; The information processing device according to claim 1 , further comprising a correction unit that corrects the estimated satisfaction degree in accordance with the acquired event information.

9. The information processing device according to claim 8 , wherein the correction unit corrects the degree of satisfaction to a level lower than the estimated level of satisfaction.

10. The information processing device according to claim 8 , wherein the correction unit corrects the satisfaction level to a level higher than the estimated satisfaction level.

11. The information processing device according to claim 1 , wherein the estimation unit estimates the satisfaction level using a machine learning model.

12. a generation unit that generates satisfaction level information based on the estimated satisfaction level; The information processing apparatus according to claim 1 , further comprising an output unit that outputs the generated satisfaction level information.

13. The method further includes a receiving unit that receives an input of the subjective satisfaction level with the life of the care recipient, The information processing device according to claim 12 , wherein the generation unit generates the satisfaction level information based on the estimated satisfaction level and the received subjective satisfaction level.

14. The information processing apparatus according to claim 1 , wherein the estimation unit estimates the satisfaction level by comparing the extracted feature with a standard stored in a storage unit.

15. The information processing device according to claim 1 ; the detection unit; An information processing system comprising:

16. An information processing method executed by an information processing device, acquiring life information about the life of the care recipient that is continuously detected by the detection unit over a predetermined period of time; extracting features representing the living conditions of the care recipient during the predetermined period based on the acquired living information; estimating the level of satisfaction with life of the care recipient based on the extracted features; An information processing method including:

17. An information processing program for causing the information processing device to execute the information processing method according to claim 16.

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