Action intelligence memory device

Abstract

To provide an action information storage device capable of storing action information representing a user's action.SOLUTION: An action information storage device comprises: a detecting device that detects a body motion of a user utilizing a bed; an action management part that matches the detecting device to the content of the user's action so as to store them; and a control part that makes a first storage part store the action information indicating that the user performs the action indicated by the content of the action corresponding to the detecting device transmitting detection information, when receiving the detection information, which indicates that the user's body motion is detected, from the detecting device.SELECTED DRAWING: Figure 1

Description

[[Technical Field]]

[0001] An embodiment of the present invention relates to a behavior information storage device. [[Background Art]]

[0002] There is known a technique for predicting a movement of a user getting out of a bed based on the position of the center of gravity of the user on the bed and the movement of the user. [[Prior Art Documents]] [[Patent Documents]]

[0003] [[Patent Document 1]] Japanese Patent No. 4841462 [[Summary of the Invention]] [[Problem to be Solved by the Invention]]

[0004] In hospitals and nursing care facilities, in order to prevent accidents such as falling from the bed of patients and residents (hereinafter referred to as "users"), sensors detect dangerous behaviors of the user and send notifications to staff, who then visit the room to respond to the user's behavior. In order to grasp what kind of behaviors of the user cause accidents, staff observe the user's behaviors and properly use the aforementioned sensors according to the user's behavior tendencies.

[0005] However, the work of observing user behaviors by staff has the following problems. For example, it is difficult for one staff member to simultaneously observe multiple users. In addition, since recognition of user observation results varies depending on the experience of the staff, it is unclear whether the installed sensors are appropriate for the user. As a result, it cannot be confirmed whether an appropriate accident prevention environment has been prepared for the user. Staff may receive an excessive number of notifications due to false alarms, which increases the work burden on staff, and in the worst case, the notification timing may be delayed and an accident involving the user cannot be prevented. Since behaviors differ depending on the user as described above, it is desirable to grasp the user's behaviors in order to prevent accidents.

[0006] Embodiments of the present invention provide an action information storage device capable of storing action information indicating user behavior. [Means for solving the problem]

[0007] According to one embodiment, the behavior information storage device includes a detection device for detecting the body movements of a user using a bed, a behavior content management unit that stores the detection device and the user's behavior content in association, and a control unit that, upon receiving detection information from the detection device indicating that the user's body movements have been detected, stores behavior information in a first storage unit indicating that the user performed the behavior indicated by the behavior content corresponding to the detection device that transmitted the detection information. [Effects of the Invention]

[0008] Embodiments of the present invention can provide an action information storage device that can store action information indicating user behavior. [Brief explanation of the drawing]

[0009] [Figure 1] A diagram showing an example of the network configuration of the first embodiment. [Figure 2] A schematic diagram showing an example of the arrangement of beds and other furniture in a room. [Figure 3] A diagram showing an example of the memory unit configuration. [Figure 4] A diagram showing an example of a user management unit. [Figure 5] A diagram illustrating an example of a department responsible for managing the content of actions. [Figure 6] A diagram showing an example of the first user behavior information storage unit. [Figure 7] A diagram showing an example of the second user behavior information storage unit. [Figure 8] A flowchart illustrating an example of memory processing. [Figure 9] A flowchart showing an example of output processing. [Figure 10] A flowchart illustrating an example of the process for identifying target behaviors. [Figure 11]FIG. 1 is a diagram illustrating an example of a second user behavior information storage unit. [Figure 12] FIG. 1 is a diagram illustrating an example of a second user behavior information storage unit. [Figure 13] FIG. 1 is a diagram illustrating an example of a network configuration according to a second embodiment. [Figure 14] FIG. 1 is a diagram illustrating an example of a second user behavior information storage unit. [Figure 15] FIG. 1 is a diagram illustrating an example of a network configuration according to a third embodiment. [Figure 16] FIG. 1 is a diagram illustrating an example of a network configuration according to a fourth embodiment. [Figure 17] FIG. 1 is a flowchart illustrating an example of storage processing. [Figure 18] FIG. 1 is a diagram illustrating an example of a staff behavior information storage unit. [Figure 19] FIG. 1 is a flowchart illustrating an example of change processing. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments of the present invention will be described with reference to the drawings. The drawings are schematic or conceptual, and the relationship between the thickness and width of each portion, the size ratio between portions, and the like are not necessarily the same as those in reality. Even when the same portion is illustrated, the dimensions and ratios may be different depending on the drawings. In the present specification and the respective drawings, the same reference numerals are given to the same elements as those described above with respect to the already shown drawings, and detailed description thereof will be omitted as appropriate.

[0011] (First Embodiment) FIG. 1 is a diagram illustrating an example of a configuration of a network 1 installed in a facility such as a nursing home or a hospital. As shown in FIG. 1, network 1 includes bed 10, environmental sensor 11, opening / closing sensor 12, camera device 13, information processing device 20, and server (behavior information storage device) 30. The bed 10, environmental sensor 11, opening / closing sensor 12, camera device 13, and information processing device 20 are each communicatively connected to the server 30. The bed 10 is also communicatively connected to a sleep sensor 14 and a mat sensor 15, respectively.

[0012] In the present embodiment, the bed 10 is an electric bed. The electric bed 10 includes a back bottom, a waist bottom, a knee bottom, a foot bottom (not shown), a frame disposed below these components, and an actuator that operates the back bottom, the knee bottom, and the frame. The bed 10 can change the posture of a user using the bed 10 by operating the actuator. The bed 10 is disposed, for example, in a predetermined room R of a facility. In the present embodiment, only one room R is illustrated, but a plurality of rooms may be provided; in this case, the beds disposed in each room are each communicatively connected to the network 1. Further, although only one bed 10 is illustrated in the room R, a plurality of beds 10 may be disposed in the room R.

[0013] The bed 10 includes a control unit 101, a communication unit 102, a communication unit 103, and a built-in sensor 104. The control unit 101 performs posture control of the bed 10, and controls communication with the information processing device 20 and the server 30. The communication unit 102 is an interface for communicating with the information processing device 20 and the server 30. The communication unit 103 is an interface for communicating with the sleep sensor 14 and the mat sensor 15.

[0014] The built-in sensor 104 is, for example, built into a frame (not shown) and measures the center of gravity of the load, and detects the user's state on the bed 10 based on the center of gravity. The built-in sensor 104 may also detect the user's state based on the load detected by load sensors provided at the four legs of the bed 10. The built-in sensor 104 detects, for example, the user's actions such as "raising their body," "moving towards the edge of the bed," and "sitting at the edge of the bed."

[0015] The sleep sensor 14 is positioned, for example, between the top surface of the bed 10 and the mattress placed on the bed 10. The position of the sleep sensor 14 on the bed 10 is, for example, below the user's shoulders and chest. The sleep sensor 14 detects the user's heart rate and respiratory status. This detection result is transmitted to the control unit 101 of the bed 10. Based on the heart rate and respiratory status received from the sleep sensor 14, the control unit 101 detects the user's actions of "sleeping" and "waking up".

[0016] The mat sensor 15 is, for example, a load sensor. The mat sensor 15 is positioned on the underside of the mat. The mat sensor 15 detects whether or not the user's feet are positioned on the mat based on whether or not a load is applied to the mat. Load information indicating whether or not a load is applied is transmitted to the control unit 101 of the bed 10. Based on the load information received from the mat sensor 15, the control unit 101 detects whether the user is wearing shoes or has gotten off the bed 10. For example, the control unit 101 detects that the user is wearing shoes when a light load is applied to the mat for a certain period of time. This corresponds to the case where the user is sitting on the bed 10 and putting on shoes. Also, for example, the control unit 101 detects that the user has gotten off the bed 10 when a heavy load is applied to the mat for a very short period of time. This corresponds to the case where the user puts on shoes, stands up and puts their entire weight on the mat, and then immediately moves off the mat.

[0017] The results of detecting the user's body movements, based on the results detected by the built-in sensor 104, the sleep sensor 14, and the mat sensor 15, are transmitted from the control unit 101 to the server 30.

[0018] The environmental sensor 11 detects the environment of room R where the bed 10 is located. The environmental sensor 11 is a sensor that detects situations that lead to user behavior, and is, for example, a sound sensor, an infrared sensor, and / or an odor sensor. The sound sensor detects, for example, the user's snoring or everyday sounds. The infrared sensor detects the passage or presence of people. The odor sensor detects, for example, the generation of odors due to excretion. The open / close sensor 12 detects whether or not the door D of room R is open. The open / close sensor 12 is, for example, a switch, and detects when door D is closed and when door D is open. The camera device 13 is installed on the upper side of the corner of room R and photographs the actions of the user using the bed 10 in room R. The camera device 13 is, for example, an AI camera device, and is able to determine what kind of actions the user has taken by comparing the user's actions with predetermined action patterns. The detection results from the environmental sensor 11, the open / close sensor 12, and the camera device 13 are transmitted to the server 30, respectively.

[0019] Here, Figure 2 is a schematic diagram showing an example of the arrangement of beds 10, etc., in room R. As shown in Figure 2, a bed 10 is located at the back of room R. The bed 10 is equipped with a headboard 10A and a footboard 10B. A built-in sensor 104 is installed inside the bed 10. A sleep sensor 14 is located on the headboard 10A side of the bed 10. A mattress 15A is located on the footboard 10B side and to the side of the bed 10. A mattress sensor 15 is located underneath the mattress 15A. An environmental sensor 11 is located near the bed 10. An open / close sensor 12 is located at the entrance E of room R to detect the opening and closing of the door D. In room R, a camera device 13 is located above the corner opposite to the corner where the bed 10 is located. The camera device 13 is capable of taking pictures inside room R. In this way, multiple detection devices (built-in sensor 104, environment sensor 11, open / close sensor 12, camera device 13, sleep sensor 14, and mat sensor 15) located within the room R where the bed 10 is placed are configured to detect the user's body movements and the environment.

[0020] The information processing device 20 includes a control unit 201, a communication unit 202, an operation unit 203, a display unit 204, and an audio unit 205. The information processing device 20 is a personal computer and tablet terminal used by caregivers and nurses (hereinafter referred to as "staff") who provide care for users using the bed 10. The control unit 201 communicates with the bed 10 and the server 30 using the communication unit 202, detects input from the operation unit 203, and displays information on the display unit 204. The control unit 201 also operates the audio unit 205 in predetermined cases. The communication unit 202 is an interface for communication via the network 1. The operation unit 203 is a keyboard, mouse, etc., and accepts input from staff. The display unit 204 is an LCD display or touch panel. The audio unit 205 generates, for example, a buzzer sound.

[0021] Server 30 manages various types of information within the facility. For example, Server 30 manages information regarding the actions of each user in bed 10. Server 30 includes a control unit 301, a communication unit 302, and a storage unit 303.

[0022] The control unit 301 communicates with the bed 10, environmental sensor 11, open / close sensor 12, and camera device 13 located in room R via the communication unit 302, and also communicates with the information processing device 20. The communication unit 302 is an interface for communication via network 1. The storage unit 303 is, for example, a hard disk drive or solid-state drive, and manages various programs and various data.

[0023] Figure 3 shows an example of the configuration of the storage unit 303. As shown in Figure 3, the storage unit 303 includes a user management unit 3031, an action content management unit 3032, a first user action information storage unit 3033, a second user action information storage unit (first storage unit) 3034, a room visit recommendation action setting unit 3035, and a program storage unit 3036.

[0024] The user management unit 3031 manages information about users who use bed 10. Figure 4 shows an example of the user management unit 3031. The number of user management units 3031 is determined according to the number of users who use bed 10 in the facility.

[0025] As shown in Figure 4, the user management unit 3031 is configured such that the user ID is associated with the name, room number, bed ID, built-in sensor ID, sleep sensor ID, mat sensor ID, environmental sensor ID, open / close sensor ID, and camera device ID.

[0026] The User ID is an ID that identifies the user using bed 10. The Name is the user's name, and the Room Number is the room number R in which bed 10 used by the user is located. The Bed ID is an ID that identifies bed 10. The Built-in Sensor ID is an ID that identifies the built-in sensor 104 that is built into bed 10 used by the user. Note that the built-in sensor 104 is built into bed 10, so it may have the same ID as the Bed ID. The Sleep Sensor ID is the ID of the sleep sensor 14 connected to bed 10 used by the user. The Mat Sensor ID is an ID that identifies the mat sensor 15 located next to bed 10. The Environment Sensor ID is an ID that identifies the environment sensor 11 installed near bed 10. The Open / Close Sensor ID is an ID that identifies the open / close sensor 12 that detects the opening and closing of door D in room R where bed 10 is located. The Camera Device ID is an ID that identifies the camera device 13 installed in room R where bed 10 is located. Note that the ID may be an ID assigned to the device, or it may be the number of the communication port on network 1.

[0027] The activity management unit 3032 manages the user's activity. Figure 5 shows an example of the activity management unit 3032. As shown in Figure 5, the behavior content management unit 3032 is configured such that behavior content and sensors used to detect behavior are associated with each other.

[0028] The behavior description defines the actions of the user being detected. In this embodiment, the user's actions are defined as "waking up," "sitting up," "moving towards the edge of the bed," "sitting on the edge of the bed," "putting on shoes," "getting out of bed," "walking towards the door," "opening the door," and "going out into the corridor." These user actions are in chronological order. More specifically, the user's actions from the time they wake up until they go outside door D are defined in chronological order.

[0029] The action "to wake up" is associated with the sleep sensor 14. The action "to wake up" is detected based on the detection state of the sleep sensor 14, indicating that the action has changed from "sleeping" to "waking up". The actions "to sit up", "to move towards the edge of the bed", and "to sit on the edge of the bed" are associated with the built-in sensor 104. The actions "to sit up", "to move towards the edge of the bed", and "to sit on the edge of the bed" are detected based on the movement state of the center of gravity of the built-in sensor 104, indicating that the user has sat up, moved towards the edge of the bed 10, and sat on the edge of the bed 10. The actions "to put on shoes" and "to get out of bed" are associated with the mat sensor 15. As described above, the actions "to put on shoes" and "to get out of bed" are detected based on the load detected by the mat sensor 15 and the duration of the load, indicating that the user has put on shoes or gotten out of bed 10. The action "walk towards the door" is associated with camera device 13. Based on the analysis results (detection results) of the images captured by camera device 13, the action "walk towards the door" is detected as the user walking towards door D. The actions "open the door" and "go out into the corridor" are associated with open / close sensor 12. Based on the detection state of the open / close sensor 12, the actions "open the door" and "go out into the corridor" are detected as the user opening door D when door D is no longer detected, and as the user going out into the corridor when door D is detected again.

[0030] In this embodiment, the detection of user actions is explained based on the correspondence shown in Figure 5. However, actions and detection devices do not necessarily have to correspond one-to-one. A single action may be associated with multiple detection devices, and user actions may be detected based on the detection results of multiple detection devices. For example, the actions "opening a door" and "going out into the corridor" may be detected not only using the open / close sensor 12 but also using the detection results of the camera device 13. This allows for more accurate detection of user actions. Furthermore, the types of detection devices to be placed are not limited to those shown in Figure 5. Sensors, camera devices, and other detection devices can be placed in the bed 10 and room R to detect desired user actions.

[0031] The first user behavior information storage unit 3033 stores behavior information for each user. Figure 6 shows an example of the first user behavior information storage unit 3033. The first user information storage unit 3033 stores the time (year, month, day, and time) when it detects that the user has performed the actions shown in Figure 5, for each action group. Here, an action group, in this embodiment, refers to the actions arranged in chronological order as described in Figure 5. That is, it refers to the series of actions taken by the user from the time they wake up until they go outside door D. Therefore, if an action different from the chronologically defined actions is detected in the middle of the sequence of actions, the storage of the action information for that action group ends when that action is taken.

[0032] As shown in Figure 6, for example, in action ACT1, user ID "10111" is remembered to have performed all the actions of one action group: waking up at 7:10:00 on January 1, 2023, sitting up at 7:13:00, going to the edge of bed 10 at 7:13:10, sitting at the edge of bed 10 at 7:13:20, putting on shoes at 7:13:50, getting off bed 10 at 7:14:10, walking towards door D at 7:14:15, opening door D at 7:14:35, and going out into the corridor at 7:14:45.

[0033] Furthermore, for example, in action ACT2, it is recorded that user ID "10111" woke up at 8:15:15 on January 1, 2023, and sat up at 8:18:20. In this case, since the user did not take any action after sitting up, such as lying down again and moving towards the edge of the bed 10, the actions up to sitting up are recorded as a single action group. The first user action information storage unit 3033 may also store detection results detected by the environmental sensor 11 for each action ACT.

[0034] The second user behavior information storage unit 3034 stores the user's behavior results for the past week. For example, at a predetermined time each day, the behavior results are calculated based on the behavior information for the past week stored in the first user behavior information storage unit 3033, and the calculated behavior results are overwritten in the second user behavior information storage unit 3034. In this embodiment, the behavior results for the past week are calculated, but this is not the only example. For example, it could be one month or a predetermined number of days.

[0035] Figure 7 shows an example of the second user behavior information storage unit 3034. In this embodiment, the second user behavior information storage unit 3034 is configured to associate the behavior content with the number of detections over the past week, the average elapsed time since waking up, and the average elapsed time since the previous behavior. The behavior content is in chronological order, but as mentioned above, the user does not necessarily go out into the corridor after waking up, so the number of detections for each behavior decreases as time progresses. Also, the average elapsed time since waking up increases with each behavior. Specific examples will be described later with reference to Figures 11 and 12. Furthermore, although this embodiment describes the case where two storage units, the first user behavior information storage unit 3033 and the second user behavior information storage unit 3034, it is also possible to provide only the first user behavior information storage unit 3033 and configure it to calculate the number of detections and the average elapsed time for the required period as needed.

[0036] The recommended room visit action setting unit 3035 sets the actions of users that require staff to visit their rooms. In this embodiment, one action is set from the actions shown in Figure 5. For example, in this embodiment, the case where the action "getting out of bed" is set will be explained. Getting out of bed 10 is an action that may cause accidents such as the user falling or slipping. In this embodiment, the case where one recommended room visit action is set for all users will be explained, but for example, different actions may be set as recommended room visit actions for each user using the user's identification ID.

[0037] The program storage unit 3036 stores a storage program and an output program. The storage program is a program that causes the server 30 to execute a process to store user actions. The output program is a program that causes the server 30 to execute a process to send the room visit recommendation information, which will be described later, to the information processing device 20. The control unit 301 of the server 30 reads the storage program and the display program from the program storage unit 3036 and executes them, thereby performing the storage process and output process which will be described in detail below.

[0038] First, let's explain the memory processing that stores user behavior. Figure 8 is a flowchart of an example of the memory processing performed by the control unit 301. This processing is performed for each user using bed 10 in the facility. The following explanation will be based on the case of user A with user ID "10111". The control unit 301 can distinguish the detection information that detects the body movement of user "10111" from the detection information detected by many detection devices in the facility, based on the information managed by the user management unit 3031.

[0039] As shown in Figure 8, the control unit 301 determines whether or not it has received awakening information (ST101). Here, awakening information is information indicating that the sleep sensor 14 has detected the user's awakening. If the control unit 301 determines that it has not received the information (ST101: NO), the standby state continues. If it determines that it has received the information (ST101: YES), the control unit 301 stores the time (ST102). For example, in the state shown in Figure 6, if awakening information for user ID "10111" is received, the control unit 301 identifies the action information for user ID "10111" from the first user action information storage unit 3033, creates a column for action ACT3, and stores the time the awakening information was received in the field corresponding to the action content "Awaken" in the created column.

[0040] Next, the control unit 301 determines whether or not it has received detection information for the user's body movement (ST103). If the control unit 301 determines that it has not received detection information for body movement (ST103: NO), the standby state continues. If it determines that it has received detection information for an action (ST103: YES), the control unit 301 determines whether or not it is detection information for the next action in a group of actions (ST104). For example, since the action following the action "wake up" is the action "sit up", the control unit 301 determines whether or not it has received detection information indicating that user A has detected the action "sit up". If it determines that it was detection for the next action (ST104: YES), it stores the time (ST105). For example, the time at which it received detection information for detecting the body movement "sit up" is stored in the field corresponding to the action content "sit up" in the action ACT3 column created above. Then, the process returns to step ST103. This ensures that actions are stored in chronological order.

[0041] On the other hand, if it is determined that the next action has not been detected (ST104:NO), the control unit 301 terminates this process. For example, if the control unit 301 has detected the actions "wake up" and "sit up" and stored the time, and then receives detection information for user A indicating an action other than "move towards the edge of the bed", it terminates the process. In this case, for example, as shown in the action ACT2 column in Figure 6, the time is stored in the fields for the actions "wake up" and "sit up", but the time is not stored in the fields for the other actions.

[0042] Through the above processing, the control unit 301 can store the time at which each user performing the actions shown in Figure 5 took place for all users using the beds 10 in the facility. In this embodiment, the action information stored in the first user action information storage 3033 is aggregated for each user for the past week at a predetermined time. More specifically, the number of times each action was detected, the average elapsed time from awakening to each action, and the average elapsed time from the previous action are calculated according to the user's actions for the past week, and the contents of the second user action information storage 3034 are updated.

[0043] Next, we will explain the output process for executing the process of outputting recommended room visit information to the information processing device 20. Figure 9 is a flowchart showing an example of the output process executed by the control unit 301.

[0044] As shown in Figure 9, the control unit 101 receives awakening information (ST201). For example, if the control unit 301 determines that it has received awakening information in the process of step ST101 described above, it determines that it has received awakening information and executes the following process.

[0045] The control unit 301 acquires the setting of the recommended room visit action (ST202). The control unit 301 acquires the recommended room visit action from the setting of the recommended room visit action setting unit 3035. In this embodiment, the action content "get out of bed" is acquired as the recommended room visit action. If different settings are made for each user, for example, the recommended room visit action set for that user is acquired using the user ID.

[0046] Next, the control unit 301 identifies the target behavior for the recommended room visit (ST203). Here, the target behavior is an action that precedes the recommended room visit behavior in chronological order, and is the action that triggers the output of the recommended room visit information to the information processing device 20. In this embodiment, the target behavior is identified based on the number of times each action for each user is detected and the average elapsed time, which are stored in the second user behavior information storage unit 3034. Details of the process for identifying the target behavior will be described later using Figure 10, but here, for example, we will explain the case where the action "moving towards the edge of the bed" is identified as the target behavior.

[0047] Next, the control unit 301 determines whether or not it has received detection information for an action (ST204). If it determines that it has not received detection information (ST204: NO), the process enters a standby state.

[0048] If the control unit 301 determines that it has received detection information (ST204: YES), it determines whether or not the detected behavior is one of the target behaviors described above (ST205). For example, if the detected behavior is "getting up", the control unit 301 determines NO, and if it is "moving towards the edge of the bed", it determines YES.

[0049] If it is determined that the detected behavior is not the target behavior (ST205: NO), the control unit 301 determines whether or not it is a chronological behavior (ST206). More specifically, the control unit 301 determines whether or not the currently detected behavior is the next behavior in the chronological sequence to the previously detected behavior. For example, if the currently detected behavior is the behavior "getting up," then if the previous behavior was the behavior "waking up," the control unit 301 determines YES, and if the previous behavior was any other behavior, the control unit 301 determines NO. If it is determined that it is not the next behavior in the chronological sequence (ST206: NO), the process ends. Therefore, the room visit recommendation information in step ST207, which will be described later, is not output. If it is determined that it is the next behavior in the chronological sequence (ST206: YES), the process returns to the process in step ST204. As a result, the behavior detection process is repeated until the target behavior is detected.

[0050] On the other hand, if it is determined that the action is a target action (ST205: YES), the control unit 301 outputs information recommending a visit to the room (ST207). Here, the information recommending a visit to the room is information that causes the information processing device 20 to execute an output to encourage staff to visit the room. The information recommending a visit to the room includes, for example, information indicating the user ID, user name, room number, and information indicating that the target action was performed by the user ID. When the information processing device 20 receives the information recommending a visit to the room from the server 30, the voice unit 205 of the information processing device 20 emits a buzzer sound to encourage a visit, and in addition, the display unit 204 displays the user name and room number of the user who will visit the room. This makes it possible for staff to recognize that the user in the room indicated by the room number may get out of bed 10 after a predetermined time. In this embodiment, the information processing device 20 is described as emitting a buzzer sound and displaying the user name and room number, but the output is not limited to this. For example, the room visit recommendation information may also include information stored in the first user behavior information storage unit 3033 and the second user behavior information storage unit 3034. This allows the information processing device 20 to not only see that a user is about to get off, but also to visually confirm the user's behavior history before visiting the room. The room visit recommendation information may also include the detection results of the environmental sensor 11. For example, the room visit recommendation information may include the detection results of the odor sensor. If the odor sensor detection results are included, the display unit 204 will allow staff to visually confirm the odor sensor detection results. If, based on the odor sensor detection results, it is visually confirmed that the user has soiled themselves, staff can bring diapers with them when visiting the room, enabling a quick response after the visit.

[0051] Next, the process of identifying the target action (ST203) will be explained. Figure 10 is a flowchart of an example of the process of identifying the target action performed by the control unit 301. Figure 11 is a diagram showing an example of the second user action information storage unit 3034A that shows the history of user A's actions. The explanation will be given in the case where the control unit 301 proceeds with processing while referring to the second user action information storage unit 3034A shown in Figure 11.

[0052] As shown in Figure 10, the control unit 301 obtains the detection count of the previous action (ST301). The control unit 301 obtains, for example, the detection count of "10" for the action "put on shoes" that precedes the action "get out of bed" T1, which is set as a recommended action for visiting a room, from the second user action information storage unit 3034A, which is identified by the user ID. Next, the control unit 301 obtains the detection count of yet another action (ST302). The control unit 301 obtains, for example, the detection count of "12" for the action "sit on the edge of the bed" that precedes "put on shoes" from the same second user action information storage unit 3034A.

[0053] Next, the control unit 301 determines whether the difference in the number of detections is greater than or equal to a predetermined number (ST303). In the above case, it is determined whether the difference between the number of detections "10" and the number of detections "12" is greater than or equal to a predetermined number. The predetermined number can be set arbitrarily. In this embodiment, for example, it is set to 5 times.

[0054] If the control unit 301 determines that the difference is not equal to or greater than a predetermined number (ST303: NO), the control unit 301 then determines whether or not it is the first action in the time series (ST304). For example, the control unit 301 determines whether or not the action whose detection count was obtained in step ST302 is the first action in the time series, "wake up," as shown in Figure 11. If it is determined that it is not the first action in the time series (ST304: NO), the process returns to step ST301, and the processing in steps ST301 to ST303 is repeated. As a result, for example, the next step is to determine whether or not the difference between the detection count of the action "sit on the edge of the bed" and the detection count of the action "move towards the edge of the bed" is equal to or greater than a predetermined number. In this way, the determination of whether or not the difference between the detection count of an action preceding the action to be visited and the detection count of the action immediately preceding that is equal to or greater than a predetermined number is repeatedly performed in the time series order of the recommended actions for visiting the room.

[0055] On the other hand, if the control unit 301 determines that the difference is greater than or equal to a predetermined number of times (ST303: YES), or if it determines that it is the first action in the time series (ST304: YES), it extracts actions up to the point where the difference in the number of detections is not greater than or equal to a predetermined number of times (ST305). For example, in the case shown in Figure 11, the difference between the number of detections of the action "going to the edge of the bed" (12) and the number of detections of the action "sitting up" (20) is 5 or more. Therefore, the actions extracted are "putting on shoes," "sitting on the edge of the bed," and "going to the edge of the bed." Also, if the process proceeds to the first action in the time series, "waking up," as in step ST304 (YES), then all actions that are chronologically earlier than "getting out of bed," such as "putting on shoes," "sitting on the edge of the bed," "going to the edge of the bed," "sitting up," and "waking up," are extracted. In this way, the control unit 301 can extract actions that are chronologically preceding the recommended room visit action "getting out of bed," and whose detection count difference is not greater than a predetermined number. This allows the server 30 to extract actions that are highly likely to lead to the recommended room visit action from the actions defined in Figure 11. In other words, the server 30 can exclude actions that are unlikely to lead to the recommended room visit action from the target actions, thereby reducing the chances of staff members' room visits being wasted.

[0056] Next, the control unit 301 obtains the average elapsed time from the previous action (ST306). For example, it obtains the average elapsed time from the action immediately preceding the recommended room visit action "get out of bed" ("put on shoes") to the recommended room visit action "get out of bed". In the example shown in Figure 11, "0:20" (20 seconds) is obtained. Next, the control unit 301 determines whether the obtained elapsed time is equal to or greater than a predetermined time (ST307). The predetermined time can be set arbitrarily. For example, it can be set considering the travel time from the room where the information processing device 20 is located to the room to be visited. In this embodiment, for example, the predetermined time is set to 60 seconds.

[0057] If it is determined that the time elapsed is not equal to or greater than the predetermined time (ST307: NO), the control unit 301 obtains the elapsed time from the previous action and adds it (ST308). For example, the control unit 301 obtains the average elapsed time from the action immediately preceding the action "putting on shoes," "sitting on the edge of the bed," to the recommended room visit action, "getting out of bed." In the example shown in Figure 11, "0:30" (30 seconds) is obtained, and "30 seconds" is added to the previously obtained average elapsed time of "20 seconds" to obtain "50 seconds." Then, the control unit 301 again determines whether the added elapsed time is equal to or greater than the predetermined time (ST307). In this way, the elapsed time from each previous action is added, and the average elapsed time up to the action of "getting out of bed" is obtained sequentially, and this process continues until it is equal to or greater than the predetermined time.

[0058] If it is determined that the predetermined time has elapsed (ST307: YES), the control unit 301 identifies the target action (ST309). The control unit 301 identifies the action at the time it is determined that the predetermined time has elapsed as the target action. For example, in the case shown in Figure 11, the elapsed time from the action "sitting on the edge of the bed" to the recommended room visit action "getting off the bed" is 60 seconds. Therefore, the control unit 301 identifies the action "sitting on the edge of the bed" T2 as the target action. As described above, the process of identifying the target action is executed. Consequently, in the case of user A, when the action of sitting on the edge of bed 10 is detected, the server 30 sends room visit recommendation information to the information processing device 20.

[0059] Next, we will explain the case in which the server 30 sends room visit recommendation information to the information processing device 20 for user B, who is different from user A with user ID "10111". Figure 12 shows an example of the second user behavior information storage unit 3034B for user B.

[0060] As shown in Figure 12, the action "getting out of bed" T1 is set as the recommended action for visiting the room, just as in the case of user A. The actions preceding the recommended room visit action "getting out of bed" (T1) are "putting on shoes," "sitting on the edge of the bed," "moving towards the edge of the bed," "sitting up," and "waking up," with the detection counts for each action being "17," "17," "18," "20," and "32." A difference of more than a predetermined number of detections (5 times in this embodiment) is determined when the difference is calculated based on the 20 detections of the action "sitting up" and the 32 detections of the action "waking up." Therefore, the four actions "putting on shoes," "sitting on the edge of the bed," "moving towards the edge of the bed," and "sitting up" are extracted as candidate target actions (ST301~ST305).

[0061] Next, actions that occurred more than a predetermined time ago are identified from the extracted actions. The average elapsed time from the action immediately preceding the actions "getting out of bed," "putting on shoes," "sitting on the edge of the bed," "moving towards the edge of the bed," and "sitting up" is "0:10" (10 seconds), "0:10" (10 seconds), "0:10" (10 seconds), "0:10" (10 seconds), and "2:00" (2 minutes), respectively. The action that exceeds the predetermined time (60 seconds in this embodiment) is "sitting up." Therefore, the action "sitting up" T3 is identified as the target action.

[0062] Therefore, when User B wakes up and sits up, Server 30 detects User B's target action "sits up" T3 and sends information recommending a visit to User B's room to Information Processing Device 20. This allows staff to realize that they need to visit User B's room.

[0063] As explained above, the server 30 can store the first user behavior information and the second user behavior information in the first user behavior information storage unit 3033 and the second user behavior information storage unit 3034, respectively. In this way, behavior information for each user can be stored, so for example, an employee can use the operation unit 203 to perform a predetermined operation and display the first user behavior information and the second user behavior information on the display unit 204. This makes it possible for employees to visually confirm the user's behavior. Furthermore, by understanding the user's behavior, it becomes possible to predict when accidents such as falls from the bed 10 are likely to occur, which can help prevent accidents.

[0064] Furthermore, when a recommended room visit action is set for a user within the facility, the server 30 can output recommended room visit information to the information processing device 20 at a time when the user is taking an action that is chronologically earlier than when the user takes the recommended room visit action. As a result, the information processing device 20 can, for example, generate a buzzer sound and display the user's name and room number on the display unit 204. Therefore, staff can become aware that a user may take a recommended room visit action and visit the user's room before the user takes the recommended room visit action.

[0065] Furthermore, the server 30 can identify the target actions for transmitting recommended room visit actions to the information processing device 20 based on the number of times each action stored in the second user action information storage unit 3034 shown in Figure 7 has been detected and the average elapsed time since the previous action. Therefore, if the difference in the number of detections between actions is greater than or equal to a predetermined number, the server 30 can exclude actions prior to that action from being targeted actions, thereby eliminating situations where staff members visit a room for actions that may not lead to recommended room visit actions, and reducing the number of times recommended room visit information is transmitted. In addition, by designating actions taken more than a predetermined time ago as target actions, the server 30 can prevent situations where staff members do not arrive in time to visit the room before the target action is taken.

[0066] Furthermore, as shown in Figures 11 and 12, user behavior varies from user to user. In this embodiment, the server 30 can change the timing of outputting room visit recommendation information according to the user's behavior history stored in the second user behavior information storage unit 3034. As a result, staff can make room visits according to each user's behavior.

[0067] (Second Embodiment) The second embodiment differs from the first embodiment in the number of detection devices that detect user behavior. Therefore, the configuration that differs from the first embodiment will be described in detail. Components identical to those in the first embodiment are denoted by the same reference numerals, and detailed explanations of these components will be omitted.

[0068] Figure 13 shows an example of the configuration of Network 2 installed in nursing care facilities, hospitals, etc. As shown in Figure 13, Network 2 includes a bed 10, an open / close sensor 12, a mat sensor 15, an information processing device 20, and a server 30. The bed 10, the open / close sensor 12, and the information processing device 20 are each connected to the server 30 for communication. The bed 10 includes a built-in sensor 104. Compared to Network 1 shown in Figure 1, Network 2 differs in that the environmental sensor 11, the camera device 13, and the sleep sensor 14 are not included.

[0069] Figure 14 shows an example of the second user behavior information storage unit 3034C. As shown in Figure 14, the actions to be detected are defined as "getting up," "moving towards the edge of the bed," "sitting on the edge of the bed," "putting on shoes," "getting out of bed," "opening a door," and "going out into the corridor." Thus, since Network 2 does not include the camera device 13 and the sleep sensor 14, the number of user actions that can be detected is fewer compared to the case shown in Figure 5, and the user actions "waking up" and "walking towards the exit" are not defined. In addition, since the environmental sensor 11 is not provided, it is not possible to store the detection results of the environmental sensor 11 in the first user action information storage unit 3033 (not shown) in association with a single group of actions.

[0070] Thus, even if the number of detection devices (sensors and camera devices) is reduced, the server 30 can store the user's actions that can be detected according to the installed detection devices in the first user action information storage unit 3033 and the second user action information storage unit 3034. Even with this configuration, the server 30 can achieve the same effects as in the first embodiment. Because the number of detection devices can be reduced, the bed 10 may be a non-electric bed. Thus, the above embodiment can also be applied to non-electric beds. Similarly, in the following embodiments, the bed 10 can also be a non-electric bed.

[0071] In the embodiments described above, the first user behavior information storage unit 3033 and the second user behavior information storage unit 3034 are provided within the server 30, and the server 30 executes the stored program and output program stored in the program storage unit 3036. However, the invention is not limited to this configuration. For example, instead of the server 30, a terminal device 40 (see Figure 15) that is connected to the bed 10 in a communicative manner may be provided.

[0072] (Third embodiment) The third embodiment differs from the above embodiment in that a terminal device 40 is provided instead of the server 30. Therefore, the configuration that differs from the above embodiment will be described in detail. The same reference numerals are used for components that are the same as in the above embodiment, and detailed explanations of these components will be omitted.

[0073] Figure 15 shows an example of a network 3 configuration in which a terminal device 40 is installed instead of a server 30. As shown in Figure 15, the terminal device 40 includes a control unit 401, a communication unit 402, and a storage unit 403. The terminal device 40 is detachably configured, for example, on the headboard 10A of the bed 10 or on a side rail (not shown). The control unit 401, communication unit 402, and storage unit 403 are configured similarly to the control unit 301, communication unit 302, and storage unit 303, respectively. Even if the terminal device 40 configured in this way transmits the room visit recommendation information to the information processing device 20, it can produce the same effect as when the server 30 transmits the room visit recommendation information to the information processing device 20. Alternatively, the functions that the terminal device 40 can realize may be realized by the control unit 101 and storage unit (not shown) of the bed 10.

[0074] Furthermore, although the first and second embodiments described above describe a case where a server 30 located within the facility performs the process of transmitting room visit recommendation information, the invention is not limited to this. For example, a higher-level server that is communicatively connected to the servers located in each facility may perform the process of transmitting room visit recommendation information. In this case, the higher-level server may include a user management unit 3031, an activity content management unit 3032, a first user activity information storage unit 3033, a second user activity information storage unit 3034, a room visit recommendation activity setting unit 3035, and a program storage unit 3036, and the control unit (not shown) of the higher-level server may execute a program stored in the program storage unit 3036 to realize the processes shown in Figures 8 to 10. Each facility is assigned a facility ID to identify it, and the higher-level server uses the facility ID to manage the user management unit 3031, the activity content management unit 3032, the first user activity information storage unit 3033, the second user activity information storage unit 3034, and the room visit recommendation activity setting unit 3035, and to identify the information processing device 20 that transmits room visit recommendation information. Even with this configuration, the higher-level server can achieve the same functions as the server 30.

[0075] Furthermore, while the above embodiments have described a process where user behavior is defined and room visit recommendation information is transmitted based on the detection results of user behavior, as shown in Figure 5, the system is not limited to this. For example, the system may transmit room visit recommendation information based on the detection results of a detection device for detecting user behavior.

[0076] (Fourth Embodiment) The fourth embodiment differs from the above embodiments in that it stores the time until the employee enters the room. Therefore, the different configuration and processing will be described in detail. Components identical to those in the above embodiments will be denoted by the same reference numerals, and detailed explanations of these will be omitted.

[0077] Figure 16 shows an example of the configuration of network 4, in which a system for detecting staff visits is installed in room R. As shown in Figure 16, a visitor information input unit 51 is provided in room R. The visitor information input unit 51 is connected to the network 4 so as to be able to communicate with the server 30, and is located in room R where the bed 10 used by the user is placed. In this embodiment, the visitor information input unit 51 is located near the door D in room R. The visitor information input unit 51 is, for example, a switch. When an employee presses the visitor information input unit 51, visitor information indicating that the employee has visited the room is transmitted from the visitor information input unit 51 to the server 30. The visitor information includes, for example, information indicating that the switch was pressed, as well as information indicating the room number. Alternatively, the visitor information input unit 51 may be provided in, for example, a portable terminal device carried by the employee. In this case, the employee can enter room R and then operate the portable terminal device to input information into the visitor information input unit 51.

[0078] Next, we will explain the process of storing user behavior information. Figure 17 is a flowchart showing an example of a storage process performed by the control unit 301 of the server 30. As shown in Figure 17, compared to the memory processing described with reference to Figure 8, a process (ST110) to determine whether or not visit information has been received is added between the processing of step ST102 and the processing of step ST103. If step ST110 determines YES, that is, if visit information has been received, the control unit 301 terminates the memory processing. If step ST110 determines NO, the control unit 301 executes a process (ST103) to determine whether or not action detection information has been received. Note that if the time is stored in step ST105, the process returns to step ST110. As a result, the control unit 301 can store action information showing the user's actions in chronological order in the first user action information storage unit 3033 until visit information is received. In other words, the control unit 301 does not store the user's actions after an employee has visited the room in the first user action information storage unit 3033.

[0079] Next, we will explain the process for managing the actions of staff members up to the time they enter the room. Figure 18 shows an example of a staff member action information storage unit (second storage unit) 3037 that stores information about the actions of staff members. In this embodiment, the staff member action information storage unit 3037 is provided in the storage unit 303 of the server 30.

[0080] As shown in Figure 18, the staff action information storage unit 3037 associates the content of a staff member's action with the average elapsed time from when the recommended room visit information is output until the staff member takes action. In this embodiment, the content of a staff member's action is, for example, the action "confirm the display of the recommended room visit information" and the action "visit the room". The action "confirm the display of the recommended room visit information" is the action taken by a staff member when the server 30 outputs the recommended room visit information and the information processing device 20 displays the recommended room visit information on the display unit 204, for example, by inputting confirmation OK displayed on the display unit 204. The average elapsed time at this time is, for example, the average time over the past week from when the recommended room visit information is sent from the server 30 to the information processing device 20 until the server 30 receives the confirmation OK input information. The action "visit the room" is the action taken by a staff member who has confirmed the display of the recommended room visit information and actually visits the room and inputs information into the room visit information input unit 51. The average elapsed time in this case is, for example, the average time over the past week from when the server 30 outputs the recommended room visit information to the information processing device 20 until the server 30 receives the room visit information from the room visit information input unit 51 of room R.

[0081] In Figure 18, the action "Confirm the display of recommended room visit information" is associated with an average elapsed time of 0:10 (10 seconds), and the action "Visit the room" is associated with an average elapsed time of 1:00 (1 minute). In other words, it is shown that an average of 10 seconds after the display recommending a visit to room R is shown the staff member enters OK, and then an average of 1 minute after the recommended room visit information that leads to the display is output the staff member visits room R and enters the room visit information in the room visit information input unit 51.

[0082] If there are multiple rooms within the facility, a separate staff activity information storage unit 3037 can be provided for each room number. Although not shown in the diagram, the server 30 also has a separate staff activity information storage unit in storage unit 303, in addition to the staff activity information storage unit 3037, which stores information about each staff member's actions and the time it took to perform those actions. Based on the staff activity information stored in this way, for example, at a predetermined time set in advance, the average time for the most recent week is calculated and the staff activity information is stored in the staff activity information storage unit 3037. Here, although the average time elapsed for the most recent week is used, the average time elapsed for the most recent month or the average time elapsed for a predetermined period may also be used, as is the case with the second user activity information storage unit 3034.

[0083] Next, we will describe the process of proposing a change to the time set for sending recommended room visit information. More specifically, it is the process of proposing a change to the predetermined time set in step ST307 described above. The change program for executing this change process is stored, for example, in the program storage unit 3036 of the storage unit 303. Figure 19 is a flowchart of an example of a change process executed by the control unit 301 of the server 30. This process is realized by the control unit 301 reading the change program from the program storage unit 3036 and executing it. Furthermore, this process can be executed at any time; for example, it may be executed when an instruction is given using the operation unit 203 of an employee, or for example, when the average elapsed time in the employee activity information storage unit 3037 is updated.

[0084] As shown in Figure 19, the control unit 301 obtains the average elapsed time from when the recommended room visit information was output (ST401). In this embodiment, the control unit 301 obtains the average elapsed time from the employee behavior information storage unit 3037 until the room visit. Next, the control unit 301 obtains the set time (ST402). Here, the set time is a predetermined time for the determination to be made in step ST307 described above, and in this embodiment, for example, it is 60 seconds.

[0085] Next, the control unit 301 determines whether the average elapsed time from when the room visit recommendation information is output until the room visit information input unit 51 receives the information exceeds the set time (ST403). If it is determined that the average elapsed time exceeds the set time, it is considered that there is a possibility that the user has already performed the recommended room visit action when the staff member arrives. In other words, there is a possibility that the staff member did not arrive in time. On the other hand, if it is determined that the average estimated time does not exceed the set time, it is considered that there is a high possibility that the user has not performed the recommended room visit action when the staff member arrives. In other words, there is a high possibility that the staff member arrived in time.

[0086] If the control unit 301 determines that the average elapsed time does not exceed the set time (ST403: NO), it determines whether the time difference between the average elapsed time and the set time is within a predetermined range (ST404). The predetermined range is preferably a short time, such as 5 seconds. If the control unit 301 determines that it is within the predetermined range (ST404: YES), the process ends. This makes it possible to avoid suggesting a change to the set time if the staff member's visit is completed slightly earlier than expected and there is little need to suggest a change to the set time.

[0087] If it is determined that the set time has been exceeded (ST403: YES), or if it is determined that the time difference is not within a predetermined range (ST404: NO), the control unit 301 obtains the time difference (ST405). If the answer in step ST404 is NO, the control unit 301 uses the time difference calculated in that process. If the answer in step ST403 is YES, the control unit 301 calculates the difference between the average elapsed time and the set time.

[0088] Next, the control unit 301 reflects the difference in the set time (ST406). For example, if the average elapsed time exceeds the set time and the time difference is 10 seconds, the control unit 301 adds 10 seconds to 60 seconds to calculate 70 seconds. Also, for example, if the average elapsed time does not exceed the set time and is not within the predetermined range and the time difference is 10 seconds, the control unit 301 subtracts 10 seconds from 60 seconds to calculate 50 seconds.

[0089] Next, the control unit 301 displays the changes to the set time on the display unit 204 (ST407). For example, the control unit 301 displays on the display unit 204 a suggestion to change the set time from 60 seconds (first set time) to 70 seconds (second set time) because the visit to the room was not completed in time. Alternatively, for example, the control unit 301 displays on the display unit 204 a suggestion to change the set time from 60 seconds to 50 seconds because the visit to the room was completed earlier than expected.

[0090] Next, the control unit 301 determines whether or not to change the set time (ST408). For example, the control unit 301 determines whether or not to change the set time based on the input of the OK button or Cancel button displayed on the display unit 204. If the OK button (indicating acceptance of the proposal) is pressed (ST408: YES), the control unit 301 changes the set time (ST409). This makes it possible to change the predetermined time in step ST307 in the process of identifying the target action, as explained with reference to Figure 10. If the Cancel button (indicated by the diagram) is pressed (ST408: NO), the process ends.

[0091] As explained above, the server 30 can stop recording the user's actions after the staff member who has confirmed the display of recommended room visit information has entered the room. In other words, it can exclude the actions when the staff member accompanies the user out of room R, and store the actions when the user leaves room R based on their own actions as user action information in the first user action information storage unit 3033. Therefore, the server 30 can store more accurate user action information in the first user action information storage unit 3033.

[0092] Furthermore, the server 30 can suggest a change to the set time when determining the target action of the user to whom the recommended visit information is sent, based on the average elapsed time from when the recommended visit information stored in the employee behavior information storage unit 3037 is output until the employee actually visits the room. If the average elapsed time exceeds the set time, it is possible that the employee did not make it in time. For this reason, the server 30 can suggest to the user that they increase the set time to encourage them to visit earlier than before. Also, if the average elapsed time does not exceed the set time, it is possible that the employee visited slightly early or even earlier than necessary. For this reason, if the difference between the two times is within a predetermined range, the server 30 will not suggest a change to the set time, but if the difference in time is greater than the predetermined range, it can suggest to the user that they decrease the set time to encourage them to visit later than before.

[0093] In the above embodiment, we have described a case in which user behavior information after the visit information input unit 51 is entered by a staff member is not stored in the first user behavior information storage unit 3033, but this is not the only case. For example, the user's actions after the visit information input unit 51 is entered by a staff member may be marked with identification information (hereinafter referred to as a "flag") indicating that a staff member visited the room, and the user behavior information may be stored in the first user behavior information storage unit 3033. By storing the user behavior information with a flag in this way, it becomes possible to distinguish between the user's own actions and the actions accompanied by a staff member and store the user behavior information accordingly. In this case, the server 30 only needs to use the user behavior information without a flag to create the user behavior information to be stored in the second user behavior information storage unit 3034.

[0094] The embodiments of the present invention have been described above with reference to specific examples. However, the present invention is not limited to these specific examples. For example, the specific configuration of each element such as sensors, control units, and memory units arranged around the bed and bed is included within the scope of the present invention as long as those skilled in the art can appropriately select from the known range to implement the present invention and obtain similar effects.

[0095] Combinations of two or more elements from any of the specific examples, to the extent technically feasible, are also included within the scope of the present invention, insofar as they encompass the gist of the invention.

[0096] Furthermore, all behavioral information storage devices that can be implemented by those skilled in the art by appropriately modifying the design based on the behavioral information storage device described above as an embodiment of the present invention also fall within the scope of the present invention, insofar as they encompass the gist of the present invention.

[0097] Furthermore, within the scope of the concept of the present invention, a person skilled in the art could conceive of various modifications and alterations, and it is understood that such modifications and alterations also fall within the scope of the present invention.

[0098] The embodiments include the following aspects:

[0099] (Note 1) A detection device that detects the body movements of a user using a bed, The detection device and the user's actions are stored in association with each other in the action content management unit. When detection information indicating that the user's body movement has been detected is received from the detection device, the control unit stores in the first storage unit action information indicating that the user performed the action indicated by the action content corresponding to the detection device that transmitted the detection information, A device equipped with behavioral information storage.

[0100] (Note 2) There are multiple detection devices, The aforementioned behavior management unit associates multiple behaviors with the multiple detection devices, The control unit stores in the first storage unit a plurality of behavioral information, each representing a plurality of different actions of the user, based on the detection results from the plurality of detection devices. The behavioral information storage device described in Appendix 1.

[0101] (Note 3) The plurality of detection devices include detection devices built into the bed and detection devices that are communicatively connected to the bed. The behavioral information storage device described in Appendix 2.

[0102] (Note 4) The different actions of the aforementioned user can be arranged in chronological order. Each of the multiple action information stored in the first storage unit includes detection count information indicating the number of times the action was detected within a predetermined period, and elapsed time information indicating the average elapsed time within the predetermined period from when the action immediately preceding the previous action in the sequence occurred. The behavioral information storage device described in Appendix 2.

[0103] (Note 5) Furthermore, it includes a setting unit that sets at least one of the multiple different actions, The control unit identifies, based on the detection count information and the elapsed time information, the action performed by the user prior to the action set in the setting unit, in chronological order. The behavioral information storage device described in Appendix 4.

[0104] (Note 6) When the control unit detects the identified behavior, it outputs information to the information processing device indicating that it recommends the staff member visit the room. The behavioral information storage device described in Appendix 5.

[0105] (Note 7) The plurality of detection devices include any of the following: an environmental detection device that detects whether or not the user is on the bed, a camera that takes pictures of the area around the bed, and an open / close detection device that detects the opening and closing of the door to the room where the bed is located. The environmental detection device, the imaging device, and the opening / closing detection device are each configured to communicate with the behavior information storage device. A device for storing behavioral information as described in any one of the appendices 2 to 6.

[0106] (Note 8) When the control unit receives visitor information from the visitor information input unit, it stops the process of storing the behavior information in the first storage unit. A device for storing behavioral information as described in any one of the appendices 1 to 7.

[0107] (Note 9) When the control unit receives visit information from the visit information input unit, it stores identification information indicating that an employee has visited the room in the first storage unit, associating it with the action information. A device for storing behavioral information as described in any one of the appendices 1 to 7.

[0108] (Note 10) Furthermore, it includes a second storage unit that stores the average elapsed time for a predetermined period from when the visit information is output until the visit information is received from the visit information input unit. The behavioral information storage device described in Appendix 6.

[0109] (Note 11) The control unit, When identifying the user's action based on the elapsed time information, the action is identified by obtaining the average elapsed time indicated by the elapsed time information that matches a predetermined first set time, and obtaining the action corresponding to the obtained average elapsed time. If the average elapsed time stored in the second memory unit exceeds the first set time, display information indicating that it is suggested to change the first set time to a second set time which is longer will be displayed. If an input indicating acceptance of the proposal is received based on the above display, the setting time will be changed from the first setting time to the second setting time. The behavioral information storage device described in Appendix 10. [Explanation of symbols]

[0110] 1,2,3,4…Network, 10…Bed, 11…Environmental sensor, 12…Open / close sensor, 13…Camera device, 14…Sleep sensor, 15…Mat sensor, 20…Information processing device, 30…Server, 51…Visitor information input unit, 301…Control unit, 303…Storage unit, 3031…User management unit, 3032…Action content management unit, 3033…First user action information storage unit, 3034,3034A,3034B,3034C…Second user action information storage unit, 3035…Recommended visit action setting unit, 3036…Program storage unit, 3037…Staff action information storage unit, D…Door, R…Room

Claims

1. Multiple detection devices that detect the body movements of the user using the bed, The aforementioned plurality of detection devices and the behavior content management unit that stores the user's multiple different behaviors in association with each other, When detection information indicating that the user's body movement has been detected is received from any of the plurality of detection devices, the control unit stores in the first storage unit action information indicating that the user performed the action indicated by the action content corresponding to the detection device that transmitted the detection information, A setting unit sets one of the multiple different actions indicated by the aforementioned multiple different actions as a recommended action for staff to visit the room, where the action requiring staff to visit the room is selected. Equipped with, The aforementioned multiple different actions can be arranged in chronological order. Each of the multiple action information stored in the first storage unit includes detection count information indicating the number of times the corresponding action was detected within a predetermined period, and elapsed time information indicating the average elapsed time within the predetermined period from when the action immediately preceding the previous action among the multiple actions was performed until the corresponding action was performed. The control unit, For multiple actions that precede the aforementioned recommended room visit action in chronological order, it is determined sequentially whether the difference in the number of detections of two chronologically adjacent actions is greater than or equal to a predetermined number, in reverse chronological order from the recommended room visit action, and from the two actions for which the difference in the number of detections is greater than or equal to the predetermined number, the actions from the later chronological action to the action immediately preceding the recommended room visit action are extracted. Based on the elapsed time information, the average elapsed time from each of the extracted actions to the recommended room visit action is calculated, and the actions whose calculated average elapsed time is equal to or greater than a predetermined time are identified as target actions, in reverse chronological order from the recommended room visit action. When the aforementioned target behavior is detected, the system outputs information to the information processing device indicating that it is recommended that the staff member visit the room. Behavioral information storage device.

2. The plurality of detection devices include detection devices built into the bed and detection devices that are communicatively connected to the bed. The behavioral information storage device according to claim 1.

3. The plurality of detection devices include any of the following: an environmental detection device that detects whether or not the user is on the bed, a camera that takes pictures of the area around the bed, and an open / close detection device that detects the opening and closing of the door to the room where the bed is located. The environmental detection device, the imaging device, and the opening / closing detection device are each configured to communicate with the behavior information storage device. The behavioral information storage device according to claim 1.

4. When the control unit receives visitor information from the visitor information input unit, it stops the process of storing the behavior information in the first storage unit. The behavioral information storage device according to claim 1.

5. When the control unit receives visit information from the visit information input unit, it stores identification information indicating that an employee has visited the room in the first storage unit, associating it with the action information. The behavioral information storage device according to claim 1.

6. The second storage unit further stores the average elapsed time for a predetermined period from when the recommended room visit information is output until the room visit information is received from the room visit information input unit, The aforementioned predetermined time is the first set time, The control unit, If the average elapsed time stored in the second storage unit exceeds the first set time, display information indicating that it is suggested to change the first set time to a second set time which is longer will be displayed. If an input indicating acceptance of the above proposal is received, the predetermined time will be changed from the first set time to the second set time. The behavioral information storage device according to claim 1.

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