JP7205540B2 - Computer Executed Programs, Information Processing Devices, and Computer Executed Methods - Google Patents

Description

TECHNICAL FIELD This disclosure relates to data processing, and more particularly to data processing based on movement trajectories.

Techniques for watching over residents are known. For example, Japanese Unexamined Patent Application Publication No. 2015-215711 (Patent Document 1) discloses that “In order to monitor the relative changes in the behavior and ecology of residents in a way that is close to the lives of residents, the progress of “aging”, which has significant individual differences, can be monitored. , a watching system that can relatively evaluate according to the ability and environment of the resident and present specifications of watching that match the evaluation” (see [Problem] in [Summary]).

Japanese Patent Laying-Open No. 2017-117423 (Patent Document 2) discloses a “watching system capable of grasping daily behavior including walking speed of a person being watched over”. The monitoring system "includes a plurality of slave units 2 (2A to 2G) and a master unit 3 installed in a residence H. Each slave device 2 transmits a notification signal to the master device 3 when it senses the target person. Based on the time data of the notification signal from child device 2D and the time data of the notification signal from child device 2E, master device 3 calculates the movement time of the watching target from bedroom PD to toilet PD, The walking speed of the person being watched over is calculated based on the time. ] (See [Abstract]).

JP 2015-215711 A JP 2017-117423 A

On the other hand, the monitoring system always monitors the moving trajectory and the like of the resident, but there are cases where not only the resident but also a caregiver or other person other than the resident exists.

In this case, since data related to the locus of movement of a person other than the resident is also measured, data measurement of the resident may be hindered.

The present disclosure has been made in view of the background as described above, and an object of a certain aspect is to provide a technique capable of accurately measuring data of residents.

According to one embodiment, a computer-executable program is provided. The program sets, in the computer, area information representing an area defined as the range of activities of residents in the living room and an area defined as the range of activities of people other than the residents; Obtaining representative one or more trajectory data, and identifying the resident's trajectory data based on the area information and the obtained one or more trajectory data are performed.

According to one embodiment, the area defined as the resident's range of movement includes at least one of the vicinity of the bed, the vicinity of the toilet, the vicinity of the furniture, or the vicinity of the washroom.

According to one embodiment, the defined areas for non-resident activity include at least one of the corners of the living room or between the resident's bed and the wall of the living room.

According to an embodiment, the step of setting the area information includes selecting an area defined as the movement range of the resident or an area defined as the movement range of people other than the resident based on the arrangement of furniture in the living room. including the step of setting the area information to represent.

According to one embodiment, it comprises a memory and a processor coupled to the memory. The processor sets area information representing an area defined as the range of movement of residents in the living room and an area defined as the range of movement of people other than the residents, and one or more pieces of information representing movement trajectories of people in the room. and identifying the resident's trajectory data based on the area information and the one or more trajectory data obtained.

According to one embodiment, the area defined as the resident's range of movement includes at least one of the vicinity of the bed, the vicinity of the toilet, the vicinity of the furniture, or the vicinity of the washroom.

According to one embodiment, the defined areas for non-resident activity include at least one of the corners of the living room or between the resident's bed and the wall of the living room.

According to an embodiment, the processor sets area information representing an area defined as the movement range of the resident or an area defined as the movement range of people other than the resident based on the arrangement of furniture in the living room. do.

According to one embodiment, a computer-implemented method generates area information representing an area defined as a resident's movement range in a living room and an area defined as a movement range of a person other than the resident. a step of setting; a step of acquiring one or more movement trajectory data representing a movement trajectory of a person in a living room; area information; and identifying the data.

According to one embodiment, the area defined as the resident's range of movement includes at least one of the vicinity of the bed, the vicinity of the toilet, the vicinity of the furniture, or the vicinity of the washroom.

According to one embodiment, the defined areas for non-resident activity include at least one of the corners of the living room or between the resident's bed and the wall of the living room.

According to an embodiment, the step of setting the area information includes selecting an area defined as the movement range of the resident or an area defined as the movement range of people other than the resident based on the arrangement of furniture in the living room. Set the area information to represent.

The above and other objects, features, aspects and advantages of the present invention will become apparent from the following detailed description of the invention taken in conjunction with the accompanying drawings.

It is a figure which shows an example of a structure of the watching system 100. FIG. It is a block diagram which shows the outline of a structure of the watching system 100. FIG. 3 is a block diagram showing the hardware configuration of computer system 300. FIG. It is a figure which shows an example of an outline of an apparatus structure of the watching system 100 using the sensor box 119. FIG. 3 is a diagram showing one mode of data storage in hard disk 5 included in computer system 300. FIG. 3 is a diagram for explaining information on furniture fixtures held by the computer system 300. FIG. 7 is a diagram for explaining a living room area 700 showing a living room space defined by X coordinates and Y coordinates; FIG. It is a figure explaining identification of movement track|trajectory data according to embodiment. FIG. 4 is a flow diagram illustrating part of a process in which a computer system 300 according to an embodiment performs identification of movement trajectory data;

Hereinafter, embodiments of the technical concept according to the present disclosure will be described with reference to the drawings. In the following description, the same parts are given the same reference numerals. Their names and functions are also the same. Therefore, detailed description thereof will not be repeated.

[Technical concept]
The area in which the behavior of the resident is observed is limited based on the position of the bed, the entrance of the room, the toilet in the room, the washbasin in the room, and the like.

By limiting the observation area, it is possible to separate the actions of the resident and the caregiver. For example, it is possible to extract only the behavior of the resident when going to the bathroom. Thereby, the observation precision of a resident|tenant's action can be raised.

[Configuration of monitoring system]
FIG. 1 is a diagram showing an example of the configuration of the watching system 100. As shown in FIG. The watching target is, for example, a resident in each living room provided in the living room area 180 of the facility. In the monitoring system 100 of FIG. 1 , living rooms 110 and 120 are provided in a living room area 180 . A living room 110 is assigned to a resident 111 . A living room 120 is assigned to a resident 121 . In the example of FIG. 1, the number of living rooms included in the watching system 100 is two, but the number is not limited to this.

In monitoring system 100 , sensor boxes 119 installed in living rooms 110 and 120 , management server 200 installed in management center 130 , and access point 140 are connected via network 190 . Network 190 may include both intranets and the Internet.

In the watching system 100 , a mobile terminal 143 carried by a caregiver 141 and a mobile terminal 144 carried by a caregiver 142 can be connected to a network 190 via an access point 140 . Furthermore, sensor box 119 , management server 200 and access point 140 can communicate with cloud server 150 via network 190 .

Living rooms 110 and 120 each include a wardrobe 112, a bed 113, and a toilet 114 as equipment. A door sensor 118 is installed on the door of the living room 110 to detect opening and closing of the door. A toilet sensor 116 for detecting opening and closing of the toilet 114 is installed on the door of the toilet 114 . A bed 113 is provided with an odor sensor 117 that detects the odor of each of the residents 111 and 121 . Each resident 111,121 is equipped with a vital sensor 290 for detecting vital information of the resident 111,121. The detected vital information includes the resident's body temperature, respiration, heart rate, and the like. In living rooms 110 and 120, each resident 111 and 121 can operate a care call slave device 115, respectively.

The sensor box 119 incorporates sensors for detecting behavior of objects in the living rooms 110 and 120 . One example of a sensor is a Doppler sensor for detecting motion of an object. Another example is a camera. Sensor box 119 may include both a Doppler sensor and a camera as sensors.

The constituent elements of the watching system 100 will be described with reference to FIG. 2 . FIG. 2 is a block diagram showing an overview of the configuration of the watching system 100. As shown in FIG.

[Sensor box 119]
The sensor box 119 includes a control device 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a communication interface 104, a camera 105, a Doppler sensor 106, a wireless communication device 107, and a storage device. 108.

The control device 101 controls the sensor box 119 . The control device 101 is composed of, for example, at least one integrated circuit. Integrated circuits include, for example, at least one CPU (Central Processing Unit), MPU (Micro Processing Unit) and other processors, at least one ASIC (Application Specific Integrated Circuit), at least one FPGA (Field Programmable Gate Array), or these It is composed of a combination of

An antenna (not shown) and the like are connected to the communication interface 104 . The sensor box 119 exchanges data with an external communication device via the antenna. External communication devices include, for example, the management server 200, the mobile terminals 143, 144 and other terminals, the access point 140, the cloud server 150 and other communication terminals.

Camera 105, in one implementation, is a near-infrared camera. A near-infrared camera includes an IR (Infrared) projector that projects near-infrared light. By using a near-infrared camera, an image representing the inside of living room 110, 120 can be captured even at night. In other implementations, camera 105 is a surveillance camera that receives only visible light. In still other implementations, camera 105 may be a 3D sensor or a thermographic camera. The sensor box 119 and the camera 105 may be configured integrally or separately.

The Doppler sensor 106 is, for example, a microwave Doppler sensor that emits and receives radio waves to detect the behavior (movement) of objects in the living rooms 110 and 120 . Thereby, the biological information of the residents 111 and 121 in the living rooms 110 and 120 can be detected. In one example, the Doppler sensor 106 emits microwaves in the 24 GHz band toward the beds 113 of the living rooms 110 and 120 and receives reflected waves reflected by the residents 111 and 121 . The reflected waves are Doppler-shifted by the motions of the residents 111 and 121 . The Doppler sensor 106 can detect the respiratory state and heart rate of the residents 111 and 121 from the reflected waves.

Wireless communication device 107 receives signals from care call slave device 240 , door sensor 118 , toilet sensor 116 , odor sensor 117 , and vital sensor 290 and transmits the signals to control device 101 . For example, care call slave device 240 has care call button 241 . When the button is operated, care call slave device 240 transmits a signal indicating that the operation has been performed to wireless communication device 107 . Door sensor 118 , toilet sensor 116 , odor sensor 117 , and vital sensor 290 transmit their detection results to wireless communication device 107 .

The storage device 108 is, for example, a fixed storage device such as a flash memory or hard disk, or a recording medium such as an external storage device. The storage device 108 stores programs executed by the control device 101 and various data used for executing the programs. Various data may include the behavior information of residents 111 and 121 . Details of the action information will be described later.

At least one of the programs and data described above can be stored in a storage device other than the storage device 108 (for example, a storage area of the control device 101 (eg, cache memory), ROM 102, etc.) as long as the storage device can be accessed by the control device 101. It may be stored in the RAM 103, external equipment (for example, the management server 200, mobile terminals 143, 144, etc.).

[Action information]
The above action information will be explained. Action information is, for example, information indicating that residents 111 and 121 have performed a predetermined action. In one example, the predetermined actions are "get up" indicating that the residents 111 and 121 have woken up, "leave the bed" indicating that the residents 111 and 121 have left the bed (bedding) 113, and the residents 111 and 121 It includes four actions of "falling" indicating falling from the bed (bedding) 113 and "falling" indicating that the residents 111 and 121 have fallen.

In one embodiment, the control device 101 generates each action information of the residents 111 and 121 associated with each living room 110 and 120 based on the images captured by the cameras 105 installed in each living room 110 and 120. do. For example, the control device 101 detects the heads of the residents 111 and 121 from the above images, and determines the " Detects "Getting up", "Getting out of bed", "Falling" and "Falling". A specific example of generating behavior information will be described in more detail below.

First, the storage device 108 stores the location area of each bed 113 in the rooms 110 and 120, the first threshold Th1, the second threshold Th2, and the third threshold Th3. The first threshold Th1 distinguishes the size of the resident's head between the lying posture and the sitting posture within the location area of the bed 113 . The second threshold Th2 identifies whether or not the resident is in a standing posture in the living rooms 110 and 120 excluding the area where the bed 113 is located, based on the size of the resident's head. The third threshold Th3 identifies whether or not the resident is lying down based on the head size of the resident in the living rooms 110 and 120 excluding the area where the bed 113 is located.

The control device 101 extracts a moving body region as a human region of the residents 111 and 121 from the target image by, for example, a background subtraction method or a frame subtraction method. The control device 101 further derives from the extracted moving object region, for example, a circular or elliptical Hough transform, pattern matching using a head model prepared in advance, and a neural network trained for head detection. The head regions of the residents 111 and 121 are extracted using the threshold values thus obtained. The control device 101 detects "getting up", "getting out of bed", "falling", and "falling" from the extracted position and size of the head.

The control device 101 determines that the position of the head extracted as described above is within the location area of the bed 113 and the size of the head extracted as described above is determined by using the first threshold value Th1. It may be determined that the action "wake up" has occurred when it detects a change from posture magnitude to sitting posture magnitude.

When the position of the head extracted as described above moves from within the location area of the bed 113 to outside the location area of the bed 113, the control device 101 controls the size of the head extracted as described above. By applying the second threshold Th2 to the head position, it may be determined that the action "getting out of bed" has occurred when it is detected that the size of the head has changed from a certain size to the size of the standing posture.

When the position of the head extracted as described above moves from within the location area of the bed 113 to outside the location area of the bed 113, the control device 101 controls the size of the head extracted as described above. By applying the third threshold value Th3 to , it may be determined that the action "fall" has occurred when it is detected that the head has changed from a certain size to the size of the lying posture.

The control device 101 determines that the position of the head extracted as described above is located in the living room 110 or 120 excluding the location area of the bed 113, and the size of the extracted head uses the third threshold value Th3. It may be determined that the action "fall" has occurred if it detects a change from a size to a lying size by .

As described above, in one specific example, the control device 101 of the sensor box 119 generates each action information of the residents 111 and 121 . In addition, in the monitoring system 100 according to another aspect, an element other than the control device 101 (for example, the cloud server 150) generates the behavior information of the residents 111 and 121 using the images in the living rooms 110 and 120. good too.

[Portable terminals 143, 144]
The mobile terminals 143 , 144 include a control device 221 , a ROM 222 , a RAM 223 , a communication interface 224 , a display 226 , a storage device 228 and an input device 229 . In one aspect, the mobile terminals 143 and 144 are implemented as, for example, smart phones, tablet terminals, wristwatch-type terminals, and other wearable devices.

The control device 221 controls the mobile terminals 143 and 144 . The control device 221 is composed of, for example, at least one integrated circuit. An integrated circuit is composed of, for example, at least one CPU, at least one ASIC, at least one FPGA, or a combination thereof.

An antenna (not shown) and the like are connected to the communication interface 224 . Mobile terminals 143 and 144 exchange data with external communication devices via the antenna and access point 140 . External communication equipment includes, for example, the sensor box 119, management server 200, and the like.

The display 226 is implemented by, for example, a liquid crystal display, an organic EL (Electro Luminescence) display, or the like. The input device 229 is implemented by a touch sensor provided on the display 226, for example. The touch sensor receives a touch operation on the mobile terminals 143 and 144 and outputs a signal corresponding to the touch operation to the control device 221 .

The storage device 228 is implemented by, for example, a flash memory, a hard disk or other fixed storage device, or a removable data recording medium.

[Configuration of computer system 300]
FIG. 3 is a block diagram showing the hardware configuration of computer system 300. As shown in FIG.

The configuration of the computer system 300 will be described with reference to FIG.
Computer system 300 includes cloud server 150 and management server 200 . Either one of the cloud server 150 and the management server 200 may be used, or they may be operated in cooperation.

The computer system 300 has, as main components, a CPU 1 that executes a program, a mouse 2 and a keyboard 3 that receive instructions input by the user of the computer system 300, data generated by the execution of the program by the CPU 1, or the mouse 2 Alternatively, a RAM 4 for volatilely storing data input via a keyboard 3, a hard disk 5 for nonvolatilely storing data, an optical disk drive 6, a communication interface (I/F) 7, and a monitor 8 are provided. include. Each component is connected to each other by a data bus. The optical disc drive device 6 is loaded with a CD-ROM 9 or other optical discs.

Processing in the computer system 300 is implemented by each piece of hardware and software executed by the CPU 1 . Such software may be stored in the hard disk 5 in advance. Also, the software may be stored in a CD-ROM 9 or other recording medium and distributed as a computer program. Alternatively, the software may be provided as a downloadable application program by a so-called information provider connected to the Internet. Such software is temporarily stored in the hard disk 5 after being read from the recording medium by the optical disk drive 6 or other reading device, or downloaded via the communication interface 7 . The software is read from the hard disk 5 by the CPU 1 and stored in the RAM 4 in the form of an executable program. CPU1 executes the program.

Each component that makes up the computer system 300 shown in FIG. 3 is conventional. Therefore, it can be said that one of the essential parts of the technical idea according to the present disclosure is software stored in RAM 4, hard disk 5, CD-ROM 9 or other recording media, or software that can be downloaded via a network. Recording media may include non-transitory computer-readable data recording media. Since the operation of each piece of hardware in computer system 300 is well known, detailed description will not be repeated.

The recording medium is not limited to CD-ROM, FD (Flexible Disk), hard disk, magnetic tape, cassette tape, optical disk (MO (Magnetic Optical Disc) / MD (Mini Disc) / DVD (Digital Versatile Disc)). , IC (Integrated Circuit) card (including memory card), optical card, mask ROM, EPROM (Electronically Programmable Read-Only Memory), EEPROM (Electronically Erasable Programmable Read-Only Memory), flash ROM and other semiconductor memories It may be a medium that literally carries the program.

The program here includes not only a program that can be directly executed by the CPU, but also a program in source program format, a compressed program, an encrypted program, and the like.

[Device configuration of watching system 100]
Watching using the watching system 100 will be described with reference to FIG. FIG. 4 is a diagram showing an example of a schematic device configuration of the monitoring system 100 using the sensor box 119. As shown in FIG.

The watching system 100 is used to watch over residents 111 and 121 who are watching targets (monitoring targets) and other residents. As shown in FIG. 4, a sensor box 119 is attached to the ceiling of living room 110 . Sensor boxes 119 are similarly installed in other living rooms.

Range 410 represents the detection range by sensor box 119 . If the sensor box 119 has a Doppler sensor as described above, the Doppler sensor detects human behavior occurring within the range 410 . If sensor box 119 has a camera as a sensor, the camera takes an image within range 410 .

Sensor box 119 is installed, for example, in nursing homes, medical facilities, homes, and the like. In the example of FIG. 4, the sensor box 119 is attached to the ceiling and photographs the resident 111 and the bed 113 from the ceiling. The mounting location of the sensor box 119 is not limited to the ceiling, and may be mounted on the side wall of the living room 110 .

The watching system 100 detects a danger to the resident 111 based on a series of images (that is, video) obtained from the camera 105 . By way of example, detectable hazards include resident 111 falling, resident 111 being in a hazardous area (eg, bed rails, etc.), and the like.

When the watching system 100 detects that the resident 111 is in danger, the monitoring system 100 notifies the caregivers 141, 143, etc. of the fact. As an example of the notification method, the watching system 100 notifies the mobile terminals 143 and 144 of the caregivers 141 and 142 of the danger of the resident 111 . Upon receiving the notification, the portable terminals 143 and 144 notify the caregivers 141 and 142 of the danger of the resident 111 by message, voice, vibration, or the like. As a result, the caregivers 141 and 142 can immediately grasp that the resident 111 is in danger, and can quickly rush to the resident 111 .

Note that FIG. 4 shows an example in which the monitoring system 100 includes one sensor box 119 , but the monitoring system 100 may include a plurality of sensor boxes 119 . Moreover, although FIG. 4 shows an example in which the monitoring system 100 includes a plurality of mobile terminals 143 and 144, the monitoring system 100 can also be realized by a single mobile terminal.

[data structure]
The data structure of computer system 300 will now be described with reference to FIG. FIG. 5 is a diagram showing one mode of data storage in hard disk 5 provided in computer system 300. As shown in FIG.

The hard disk 5 holds a table 60. FIG. The table 60 sequentially stores data transmitted from each sensor provided in each living room as movement trajectory data. More specifically, table 60 includes room ID 61 , date and time 62 , X coordinate value 63 , and Y coordinate value 64 . The room ID 61 identifies the room of the resident. Date and time 62 identifies the date and time when the signal sent from the sensor was acquired. The X-coordinate value 63 represents the X-coordinate value of the point detected at the date and time, that is, the position of the resident. Y-coordinate value 64 represents the Y-coordinate value of the point detected at the date and time, that is, the position of the resident. In one aspect, the coordinate axes from which the X coordinate value and the Y coordinate value are based are defined, for example, with reference to the end point of the living room (for example, one corner of the room). In another aspect, the coordinate axes may be defined with reference to a certain point in the facility where each living room is provided.

Furthermore, the hard disk 5 holds image data sent from the sensor box 119 . Image data is acquired at predetermined time intervals. The CPU 1 can identify the state of the resident by performing image analysis using each image data. For example, the CPU 1 can extract the head from each image data, the time the resident is lying down, the time the resident is sitting on the bed 113, and the time the resident is walking.

In addition to the resident, there is a possibility that the person who moves in the living room may be a caregiver or a family member. Therefore, the CPU 1 can exclude the movement trajectories of people other than the resident. For example, the CPU 1 may calculate the movement speed for each movement trajectory, and exclude the movement trajectory for which a speed equal to or higher than a certain speed, which is estimated to be the movement speed of non-residents such as staff, is calculated from the image analysis targets. In this case, as the moving speed of a person other than the resident, a moving speed that has been measured in advance or a moving speed that has been measured during image analysis can be used. Also, in order to calculate the movement speed from the movement trajectory, for example, the CPU 1 calculates the X coordinate value and the Y coordinate value for each point detected at a plurality of times, and can be calculated based on the time to

[Overview of operation of CPU 1]
(1) In a certain aspect, the CPU 1 sets area information representing an area defined as the range of activities of residents in the room and an area defined as the range of activities of people other than the residents. The CPU 1 reads out from the hard disk 5 a plurality of locus data representing the locus of movement of the resident. The CPU 1 identifies the moving track data of the resident based on the set area information and one or more read moving track data.

In one aspect, the area defined as the resident's range of activities includes at least one of the vicinity of the bed, the vicinity of the toilet, the vicinity of the furniture, or the vicinity of the washroom.

In one aspect, the area defined as the range of activities other than the resident includes at least one of the corner of the living room and the space between the resident's bed and the wall of the living room.

In a certain aspect, the CPU 1 sets area information representing an area defined as the range of activities of the residents or an area defined as the range of activities of people other than the residents, based on the arrangement of furniture in the living room.

[Area Information]
FIG. 6 is a diagram for explaining information on furniture fixtures held by the computer system 300. As shown in FIG.

Referring to FIG. 6, one mode of data storage in hard disk 5 included in computer system 300 is shown as an example.

The hard disk 5 holds a table 600. FIG.
More specifically, table 600 includes room ID 610 , resident name 620 , furniture fixture name 630 , and occupied area 640 .

The room ID identifies the room of the resident. The resident name 620 is the name of the resident. The furniture fixture name 630 is the name of the furniture arranged in the living room. The occupied area 640 is an area occupied by the furniture when the living room space is represented by XY coordinates. Occupied area 640 shows a rectangular area as an example, and includes the coordinates (X coordinate value, Y coordinate value) of the upper right end point and the coordinates (X coordinate value, Y coordinate value) of the lower left end point of the rectangular area. In one aspect, the coordinate axes from which the X coordinate value and the Y coordinate value are based are defined, for example, with reference to the end point of the living room (for example, one corner of the room). In another aspect, the coordinate axes may be defined with reference to a certain point in the facility where each living room is provided.

In this example, in Mr. A's room, furniture fixtures such as "bed", "drawer", "washstand", "chair", and "toilet" are arranged, and the area occupied by the furniture fixtures in the XY coordinates is Registered.

The table 600 is registered in advance by an administrator.
FIG. 7 is a diagram illustrating a living room area 700 showing a living room space defined by X and Y coordinates.

Referring to FIG. 7A, in a living room area 700, an occupied area such as various pieces of furniture in Mr. A's room is shown as an example.

Specifically, a bed occupied area 720, a chair occupied area 730, a dresser occupied area 740, a washbasin occupied area 750, and a toilet occupied area 760 are shown in the room area. Also shown is the door area 770 for entering and exiting the room.

In the embodiment, based on the area occupied by the furniture or the like, an area defined as the range of activities of the occupants of the living room and an area defined as the range of activities of people other than the residents are set.

Referring to FIG. 7B, computer system 300 sets area information based on the area occupied by furniture or the like. Specifically, as area information, an area defined as the range of activities of residents in the living room and an area defined as the range of activities of people other than the residents are set.

Specifically, the computer system 300 sets the peripheral area of the occupied area 720 of the bed to the area 780 defined as the movement range of the occupants of the living room. In addition, the computer system 300 defines an area near at least one of the chair occupied area 730, the dresser occupied area 740, the washstand occupied area 750, and the toilet occupied area 760 as the occupant's movement range in the living room. area 782. In this example, a case where all the areas near the chair occupied area 730, the dresser occupied area 740, the washstand occupied area 750, and the toilet occupied area 760 are set as the area 782 will be described. The computer system 300 sets the area other than the areas 780 and 782 in the living room as an area defined as the movement range of people other than the resident.

Specifically, computer system 300 sets areas 790 and 792 as areas defined as the range of activities of people other than residents.

In addition, without being limited to this method, the computer system 300 sets the corner of the living room or the area between the occupied area 720 of the bed and the wall of the living room as the area 790 defined as the movement range of people other than the resident. You can

A program for setting the area information of the living room area map is pre-stored in the hard disk 5, and can be executed by the CPU 1 reading out the program.

In this example, a method of setting area information by reading a program will be described as an example, but the program is not particularly limited, and the administrator uses the mouse 2, keyboard 3, etc. to It is also possible to set an area defined as the range of activities of the residents of the living room and an area defined as the range of activities of people other than the residents.

[Identification of movement trajectory data]
FIG. 8 is a diagram illustrating identification of movement trajectory data according to the embodiment.

Referring to FIG. 8, there is shown a case of identifying movement locus data based on area information.

In this example, the trajectory data contained in area 782 is identified as resident trajectory data. On the other hand, the trajectory data included in areas 790 and 792 is identified as trajectory data for those other than residents.

By the identification, it becomes possible to extract the movement locus data of the resident included in the area 782, and it is possible to accurately measure the data of the resident. For example, it is possible to calculate the moving speed of the resident with high accuracy.

In addition, it becomes possible to extract movement locus data of other than the residents included in the areas 790 and 792, and it is possible to accurately measure the data of the other than the residents. For example, it is possible to calculate the work efficiency of a caregiver by calculating the moving speed of a person other than the resident.

[Control flow]
FIG. 9 is a flow diagram illustrating part of the process by which computer system 300 performs identification of movement trajectory data according to an embodiment.

Referring to FIG. 9, CPU 1 reads from hard disk 5 area information representing an area defined as the range of activities of residents in the living room and an area defined as the range of activities of people other than residents. (step S2). Specifically, as described in FIG. 7, based on the occupied area such as furniture, an area defined as the movement range of the occupant of the living room and an area defined as the movement range of people other than the resident are divided. set.

Next, the CPU 1 acquires one or more movement trajectory data representing the movement trajectory of the person in the living room (step S4). As described with reference to FIG. 5, the movement locus data stored in the hard disk 5 is obtained.

Next, the CPU 1 identifies moving track data of the resident based on the area information and one or more pieces of moving track data (step S6). The CPU 1 identifies the moving track data included in the area 782 as the moving track data of the resident as described in FIG.

Then, the process ends (end).
By this processing, it is possible to accurately extract the movement locus data of the resident, and it is possible to accurately measure the data of the resident.

It should be considered that the embodiments disclosed this time are illustrative in all respects and not restrictive. The scope of the present invention is indicated by the scope of the claims rather than the above description, and is intended to include all changes within the scope and meaning equivalent to the scope of the claims.

This technology is applicable to information processing using data obtained in hospitals, nursing homes, nursing homes, and other facilities.

51 washstand, 52 desk, 60 table, 100 system, 101,221 control device, 105 camera, 106 Doppler sensor, 107 wireless communication device, 108 storage device, 110,120 living room, 111,121 resident, 112 chest, 113 bed, 114 toilet, 115 care call child device, 116 toilet sensor, 117 sensor, 118 door sensor, 119 sensor box, 228 storage device, 130 management center, 140 access point, 141,142 caregiver, 143,144 mobile terminal, 150 Cloud server, 180 room area, 190 network, 200 management server.

Claims (12)

A program executed on a computer, said program causing said computer to:
a step of setting area information representing an area defined as a range of activities of a resident of the living room and an area defined as a range of activities of persons other than the resident;
obtaining one or more movement trajectory data representing a movement trajectory of a person in the living room;
and identifying movement trajectory data of the resident based on the area information and the acquired one or more movement trajectory data. 2. The program according to claim 1, wherein the area defined as the resident's range of activities includes at least one of the vicinity of the bed, the vicinity of the toilet, the vicinity of the furniture, and the vicinity of the washroom. 3. The program according to claim 1 or 2, wherein the area defined as the range of activities other than the resident includes at least one of a corner of the living room and a space between the bed of the resident and a wall of the living room. . In the step of setting the area information, based on the arrangement of furniture in the living room, area information representing an area defined as the movement range of the resident or an area defined as the movement range of people other than the resident. 4. The program according to any one of claims 1 to 3, comprising a step of setting . a memory;
a processor coupled to the memory;
The processor
setting area information representing an area defined as a range of activities of a resident of a living room and an area defined as a range of activities of a person other than the resident;
Acquiring one or more movement trajectory data representing the movement trajectory of a person in a living room;
An information processing device configured to identify the movement trajectory data of the resident based on the area information and the acquired one or more movement trajectory data. 6. The information processing apparatus according to claim 5, wherein the area defined as the resident's range of activities includes at least one of the vicinity of the bed, the vicinity of the toilet, the vicinity of the furniture, and the vicinity of the washroom. 7. The information according to claim 5 or 6, wherein the area defined as the range of activities other than the resident includes at least one corner of the living room or between the bed of the resident and the wall of the living room. processing equipment. The processor sets area information representing an area defined as the range of activities of the resident or an area defined as the range of activities of people other than the resident based on the arrangement of furniture in the living room. 8. The information processing device according to any one of 5 to 7. A computer implemented method comprising:
a step of setting area information representing an area defined as a range of activities of a resident of the living room and an area defined as a range of activities of persons other than the resident;
obtaining one or more movement trajectory data representing a movement trajectory of a person in the living room;
and identifying trajectory data for the resident based on the area information and the one or more trajectory data obtained. 10. The method of claim 9, wherein the area defined as the resident's range of movement includes at least one of near the bed, near the toilet, near furniture, or near the washroom. 11. The method according to claim 9 or 10, wherein the area defined as the range of activities other than the resident includes at least one corner of the living room or between the bed of the resident and the wall of the living room. . In the step of setting the area information, based on the arrangement of furniture in the living room, area information representing an area defined as the movement range of the resident or an area defined as the movement range of people other than the resident. The method according to any one of claims 9 to 11, wherein setting

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