Behavior monitoring system and behavior monitoring method

Abstract

This action monitoring system monitors the action of a monitored person living in a house, and comprises human sensors, a storage unit, and a determination unit. The human sensors are installed at different positions of the house. The determination unit stores in advance into the storage unit a specific action, which is defined by at least an order of reactions of the plurality of human sensors, and when one of the plurality of human sensors has reacted, stores a reaction time into the storage unit as reaction data. Then, the determination unit extracts a current action from the reaction data stored in the storage unit, compares the current action with the specific action, and determines whether or not the specific action has been performed normally.

Description

[Technical Field]

[0001] This specification discloses a behavior monitoring system and a behavior monitoring method. [Background technology]

[0002] Conventionally, one such behavior monitoring system has been proposed that uses sensors such as motion sensors installed in the home to collect the daily life patterns of a person being monitored and compares them to understand the current state of the person's behavior patterns (see, for example, Patent Document 1). In this system, the start time, duration, and number of occurrences of each event, such as waking up, going to the bathroom, eating, bathing, and sleeping, are read from the sensor as the daily life pattern, and the conformance of the lifestyle behavior based on the read start time, duration, and number of occurrences is calculated. If the conformance is smaller than a predetermined value, the lifestyle pattern is determined to be abnormal. Examples include sleeping when one would normally eat, using the bathroom less frequently, or sleeping for long periods of time. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2014-106636 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the above-mentioned system is limited to determining whether an action is normal or not based on the presence or absence of the subject in one area, such as waking up, going to the toilet, eating, bathing, or sleeping, and makes no mention of determining whether an action that involves moving across multiple areas (rooms), such as cleaning or throwing out trash, is normal or not.

[0005] A primary object of the present disclosure is to provide a behavior monitoring system and a behavior monitoring method that are capable of appropriately monitoring behaviors of moving across multiple areas. [Means for solving the problem]

[0006] The present disclosure has adopted the following means to achieve the above-mentioned main object.

[0007] The behavior monitoring system disclosed herein is a behavior monitoring system that monitors the behavior of a monitored person living in a residence, and includes a plurality of human presence sensors that are installed in different locations in the residence and detect the monitored person, a memory unit that stores data, and a judgment unit that stores in advance in the memory unit a specific behavior defined by at least the reaction order of the plurality of human presence sensors, stores the reaction time as reaction data in the memory unit when there is a reaction in any of the plurality of human presence sensors, extracts a current behavior from the reaction data stored in the memory unit, and compares the current behavior with the specific behavior to judge whether the specific behavior was performed normally.

[0008] The behavior monitoring system disclosed herein includes a plurality of motion sensors installed in different locations in a residence, a memory unit, and a determination unit. The determination unit stores in advance in the memory a specific behavior defined by at least the order in which the motion sensors respond. When any of the motion sensors responds, the determination unit stores the response time in the memory as response data, extracts a current behavior from the response data stored in the memory, and compares the current behavior with the specific behavior to determine whether the specific behavior was performed correctly. By recording the response time of each motion sensor as response data, it is possible to determine where the monitored person is moving from and to, and it is possible to appropriately monitor the behavior of the monitored person moving across multiple areas. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a schematic configuration diagram of a behavior monitoring system according to an embodiment of the present invention. [Figure 2] FIG. 1 is an explanatory diagram showing an example of sensors installed in each room of a house. [Figure 3]10 is a flowchart illustrating an example of a data measurement process. [Figure 4] 10 is a flowchart illustrating an example of a specific behavior registration process. [Figure 5] 10 is a flowchart illustrating an example of a data receiving process. [Figure 6] FIG. 10 is an explanatory diagram showing an example of specific behavior data. [Figure 7] 10 is a flowchart illustrating an example of a standard behavior registration process. [Figure 8] 10 is a flowchart illustrating an example of a standard behavior determination process. [Figure 9] 10 is a flowchart illustrating an example of a specific behavior determination process. DETAILED DESCRIPTION OF THE INVENTION

[0010] Next, embodiments of the present disclosure will be described with reference to the drawings.

[0011] FIG. 1 is a schematic diagram of a behavior monitoring system 10 according to this embodiment. As shown in FIG. 1, the behavior monitoring system 10 according to this embodiment includes a management server 20 that manages the entire system and monitoring devices 30 installed in residences A to C, where monitoring targets reside. Residences A to C are residences where, for example, elderly people or people requiring care live alone, and may have, for example, a living room (L), dining room (D), kitchen (K), bedrooms, a washroom, a bathroom, a toilet, and an entrance hall, as shown in FIG. 2. The behavior monitoring system 10 can be used, for example, to monitor the behavior of elderly people or people requiring care as monitoring targets, instead of a caregiver, and to detect abnormalities in their behavior early on.

[0012] The monitoring device 30 comprises a control unit 31, a communication unit 32, an operation display unit 33, a speaker 34, and sensors 40. The control unit 31 is configured as a microprocessor centered around a CPU, and in addition to the CPU, comprises ROM, RAM, etc. The operation display unit 33 and speaker 34 output various information from the management server 20 by display or sound. The operation display unit 33 is configured as a touch panel display unit that allows the operator to input operations.

[0013] The sensors 40 are sensors for detecting the location of a person to be monitored living in the residence, and as shown in FIG. 2, include human sensors 41, 42, 43, 44, 45, 46, and 47 installed in each room, and a door sensor 48 installed at the front door.

[0014] The motion sensors 41-47 are sensors that detect people within a detection area without contact, and are configured as, for example, infrared sensors that sense infrared rays and convert them into electrical signals. Motion sensors 41, 42, and 43 are provided in the living room, dining room, and kitchen of the living / dining / kitchen room, respectively. Motion sensor 44 is provided in the bedroom, and motion sensor 45 is provided in the washroom. Motion sensor 46 is provided in the bathroom, and motion sensor 47 is provided in the toilet.

[0015] The door sensor 48 detects whether the front door is open or closed, and is configured as a magnetic open / close sensor having, for example, a permanent magnet fixed to the door side and a magnetic sensor fixed to the frame side.

[0016] The management server 20 comprises a processing unit 21, a communication unit 22, and a storage unit 23. The processing unit 21 is configured as a microprocessor centered around a CPU, and in addition to the CPU, comprises a ROM, a RAM, etc. The communication unit 22 of the management server 20 is connected to the communication unit 32 of each monitoring device 30 via a network 11 such as the Internet, and the management server 20 and each monitoring device 30 exchange data and signals with each other via the communication units 22, 32. The storage unit 23 is configured with an HDD, SSD, etc., and receives data measured by each monitoring device 30 and stores the data for a certain period of time.

[0017] Next, we will explain the operation of the behavior monitoring system configured in this way, that is, the operation of each monitoring device 30 and the operation of the management server 20. The operation of each monitoring device 30 includes a data measurement process and a specific behavior registration process. Furthermore, the operation of the management server 20 includes a data reception process, a standard behavior registration process, a standard behavior determination process, and a specific behavior determination process.

[0018] The data measurement process is a process of measuring (collecting) the location of a person to be monitored using sensors installed in each room of the residence. Fig. 3 is a flowchart showing an example of the data measurement process executed by the control unit 31 of each monitoring device 30. This process is repeatedly executed at predetermined time intervals.

[0019] When the data measurement process is executed, the control unit 31 of the monitoring device 30 first determines whether or not there is a reaction from the living room motion sensor 41 installed in the living room (step S100). If the control unit 31 determines that there is a reaction from the living room motion sensor 41, it determines that the person to be monitored is present in the living room (step S102), transmits the determination result to the management server 20 as measurement data (step S136), and ends the data measurement process.

[0020] If the control unit 31 determines in step S100 that there is no reaction from the living room motion sensor 41, it then determines whether there is a reaction from the dining room motion sensor 42 provided in the dining room (step S104). If the control unit 31 determines that there is a reaction from the dining room motion sensor 41, it determines that the person to be monitored is present in the dining room (step S106), transmits the determination result to the management server 20 as measurement data (step S136), and ends the data measurement process.

[0021] If the control unit 31 determines in step S104 that there is no reaction from the dining room motion sensor 42, it then determines whether there is a reaction from the kitchen motion sensor 43 provided in the kitchen (step S108). If the control unit 31 determines that there is a reaction from the kitchen motion sensor 43, it determines that the person to be monitored is present in the kitchen (step S110), transmits the determination result to the management server 20 as measurement data (step S136), and ends the data measurement process.

[0022] If the control unit 31 determines in step S108 that there is no reaction from the kitchen motion sensor 43, it then determines whether there is a reaction from the bedroom motion sensor 44 installed in the bedroom (step S112). If the control unit 31 determines that there is a reaction from the bedroom motion sensor 44, it determines that the person to be monitored is present in the bedroom (step S114), transmits the determination result to the management server 20 as measurement data (step S136), and ends the data measurement process.

[0023] If the control unit 31 determines in step S112 that there is no reaction from the bedroom motion sensor 44, it then determines whether there is a reaction from the bathroom motion sensor 45 provided in the bathroom (step S116). If it determines that there is a reaction from the bathroom motion sensor 45, the control unit 31 determines that the person to be monitored is present in the bathroom (step S118), transmits the determination result to the management server 20 as measurement data (step S136), and ends the data measurement process.

[0024] If control unit 31 determines in step S116 that there is no reaction from washroom motion sensor 45, it then determines whether there is a reaction from bathroom motion sensor 46 provided in the bathroom (step S120). If control unit 31 determines that there is a reaction from bathroom motion sensor 46, it determines that the person to be monitored is present in the bathroom (step S122), transmits the determination result to management server 20 as measurement data (step S136), and ends the data measurement process.

[0025] If the control unit 31 determines in step S120 that there is no reaction from the bathroom motion sensor 46, it then determines whether there is a reaction from the toilet motion sensor 47 provided in the toilet (step S124). If it determines that there is a reaction from the toilet motion sensor 47, the control unit 31 determines that the person to be monitored is present in the toilet (step S126), transmits the determination result to the management server 20 as measurement data (step S136), and ends the data measurement process.

[0026] If the control unit 31 determines in step S124 that the toilet motion sensor 47 has not responded, it next determines whether the front door sensor 48 provided on the front door has responded (step S128). If the control unit 31 determines that the front door sensor 48 has responded, it determines in step S134 (described later) whether the monitored person has been determined to be at home (step S130). If the control unit 31 determines that the monitored person has been determined to be at home, it determines that the monitored person has left the house (step S132), transmits the determination result to the management server 20 as measurement data (step S136), and ends the data measurement process. On the other hand, if the control unit 31 determines that the monitored person has not been determined to be at home (i.e., has been determined to be out), it determines that the monitored person has returned home, i.e., is at home (step S134), transmits the determination result to the management server 20 as measurement data (step S136), and ends the data measurement process.

[0027] The specific behavior registration process is a process for registering in advance regular schedules (specific behaviors) that the monitored person should perform in order to manage the schedule and determine whether the monitored person's behavior is appropriate. Fig. 4 is a flowchart showing an example of the specific behavior registration process executed by the control unit 31 of the monitoring device 30. This process is repeatedly executed at predetermined time intervals.

[0028] When the specific behavior registration process is executed, the control unit 31 first displays a menu screen on the operation display unit 33 and accepts the selection of a behavior type (step S150). Then, the control unit 31 determines whether or not "washing dishes" has been selected as the behavior type (step S152), whether or not "walking" has been selected (step S154), whether or not "throwing out trash" has been selected (step S156), and whether or not "new" has been selected to create a new behavior type (step S158).

[0029] If the control unit 31 determines that "dishwashing" is selected in step S152, it accepts input of the time period for washing dishes and the required time for washing dishes (time spent in the kitchen) (step S160). Next, the control unit 31 acquires the movement areas (rooms) through which the person washing dishes will move and the movement order between the movement areas (step S162). The movement areas and movement order are acquired by creating and registering relationships between activity types, movement areas, and movement orders in advance, and deriving the corresponding movement areas and movement orders when an activity type is given. In this embodiment, the movement areas for washing dishes include the kitchen and dining room, and the movement order for washing dishes is from the kitchen to the dining room, and back to the kitchen. The control unit 31 then generates specific behavior data for washing dishes, including the acquired movement areas and movement orders, the input time period, and the required time (time spent in the kitchen) (step S178), and transmits the generated specific behavior data to the management server 20 for registration in the management server 20 (step S180), thereby completing the specific behavior registration process.

[0030] If the control unit 31 determines that "walk" is selected in step S154, it accepts input of the time period during which the walk will be taken and the required time (time outside) (step S164). Next, the control unit 31 acquires the movement areas (rooms) through which the person taking the walk will move and the order of movement between the movement areas (step S166). In this embodiment, the movement areas for the walk include the living room and the entrance, and the movement order for the walk is from the living room to the entrance (going out), then the entrance (returning home), and then the living room. Then, the control unit 31 generates specific behavior data for the walk, including the acquired movement areas and movement order, as well as the input time period and required time (time outside) (step S178), and transmits the generated specific behavior data to the management server 20 for registration in the management server 20 (step S180), thereby completing the specific behavior registration process.

[0031] If the control unit 31 determines that "throwing away trash" has been selected in step S156, it accepts input of the day of the week and time period for throwing away trash (step S168). Next, the control unit 31 acquires the movement area (room) through which the person throwing away trash will move and the movement order between the movement areas (step S170). In this embodiment, the movement area for throwing away trash includes the living room, kitchen, and entrance, and the movement order for throwing away trash is from the living room to the kitchen and then to the entrance. The control unit 31 then generates specific behavior data for throwing away trash, including the acquired movement area and movement order and the input day of the week and time period, and transmits the generated specific behavior data to the management server 20 for registration in the management server 20 (step S180), thereby completing the specific behavior registration process.

[0032] If the control unit 31 determines that "New" has been selected in step S158, it accepts input of the travel area and travel order (step S172), input of the day of the week and time period of the trip (step S174), and input of the required time (step S176). Then, the control unit 31 generates new specific behavior data including the input travel area, travel order, day of the week, time period of the trip, and required time (step S178), and transmits the generated specific behavior data to the management server 20 for registration in the management server 20 (step S180), thereby terminating the specific behavior registration process.

[0033] Next, the operations of the management server 20 (data reception processing, standard behavior registration processing, standard behavior determination processing, and specific behavior determination processing) will be described.

[0034] The data reception process is a process for receiving measurement data transmitted from each monitoring device 30. Fig. 5 is a flowchart showing an example of the data reception process executed by the processing unit 21 of the management server 20. This process is repeatedly executed at predetermined time intervals.

[0035] When the data reception process is executed, the processing unit 21 of the management server 20 first determines whether measurement data has been received from the monitoring device 30 (step S200). If the processing unit 21 determines that measurement data has been received, it accesses a time server via the Internet to acquire the current date, time (hour / minute / second), and day of the week as time information (step S202), associates the acquired time information with the measurement data, and stores it in the storage unit 23 (step S204), thereby terminating the data reception process. Note that the time information may also be acquired by reading the current time from an RTC (real-time clock).

[0036] If the processing unit 21 determines in step S200 that it has not received measurement data, it determines whether it has received specific behavior data from the monitoring device 30 (step S206). If it determines that it has not received specific behavior data, it terminates the data reception process. On the other hand, if it determines that it has received specific behavior data, it registers the received specific behavior data in the storage unit 23 (step S208) and terminates the data reception process. FIG. 6 shows an example of specific behavior data. A specific behavior is performed involving movement across multiple areas (rooms) of the residence, and the specific behavior data includes the order of movement, the time period when the specific behavior was performed, the day of the week when the specific behavior was performed, and the required time, as shown in FIG. 6. Note that in this embodiment, some information (the day of the week when the specific behavior was performed and the required time) may be omitted depending on the type of specific behavior. The specific behavior data is used in the specific behavior determination process, which will be described later.

[0037] 7 is a flowchart showing an example of a standard behavior registration process executed by the processing unit 21 of the management server 20. This process is repeatedly executed at predetermined time intervals. Here, the standard behavior indicates a daily pattern of basic behaviors such as waking up, going to the toilet, eating, bathing, and going to bed.

[0038] In the standard behavior registration process, the processing unit 21 first determines whether the standard behavior has not been registered (step S210). If the processing unit 21 determines that the standard behavior has not been registered, the processing unit 21 determines whether measurement data for a certain period (e.g., one month's or one week's worth) has been accumulated in the storage unit 23 by the data reception process described above (step S212). If the processing unit 21 determines that measurement data for the certain period has not been accumulated, it determines that the amount of measurement data accumulated is insufficient to extract the standard behavior, and terminates the standard behavior registration process. On the other hand, if the processing unit 21 determines that measurement data for the certain period has been accumulated, it extracts standard behaviors including wake-up time, meal times, number of toilet visits, bath time, bedtime, etc. from the measurement data for the certain period (step S214). For example, the wake-up time can be extracted by determining that the user has stayed in the bedroom for a certain period or more (the time difference between the entry time and the exit time is a certain period or more) based on the bedroom measurement data and the time information associated with the measurement data, and then acquiring the exit time when the user has left the bedroom. Meal times can be extracted by determining whether a person has moved from the kitchen to the dining room based on the kitchen and dining room measurement data and the time information associated with the measurement data, and then acquiring the time of that stay when it is determined that the person stayed in the dining room for a predetermined period of time or longer. The number of toilet visits can be extracted by counting the number of toilet visits each time an entry into the bathroom is detected based on the toilet measurement data and the time information associated with the measurement data. Bathing times can be extracted by acquiring the time spent in the bathroom (the time difference between the time of entry and the time of exit) based on the bathroom measurement data and the time information associated with the measurement data. Bedtimes can be extracted by determining whether a person has entered the bedroom based on the bedroom measurement data and the time information associated with the measurement data, and then acquiring the time of entry into the bedroom when it is determined that the person stayed in the bedroom for a predetermined period of time or longer. Note that wake-up times and bedtimes may be extracted using a dedicated sleep sensor. After extracting the standard behavior in this way, the processing unit 21 registers the extracted standard behavior in the storage unit 23 (step S216), and ends the standard behavior registration process.

[0039] If the processing unit 21 determines in step S210 that the standard behavior has been registered, it determines whether the season has changed based on the current date (step S218). In this embodiment, spring is defined as March, April, and May, summer as June, July, and August, autumn as September, October, and November, and winter as December, January, and February. If the processing unit 21 determines that the season has changed, it determines whether data for a certain period after the seasonal change has been accumulated in the storage unit 23 (step S220). If the processing unit 21 determines that data for a certain period after the seasonal change has been accumulated, it modifies the standard behavior based on the data after the seasonal change (step S222) and updates the standard behavior registered in the storage unit 23 (step S224), and then terminates the standard behavior registration process. In this embodiment, by updating the standard behavior for each season, changes in wake-up time, bedtime, and other factors associated with the change in season can be reflected in the standard behavior. If the processing unit 21 determines in step S218 that the season has not changed, or if it determines in step S220 that data for a certain period after the season change has not yet been accumulated, it ends the standard behavior registration process without updating the standard behavior.

[0040] 8 is a flowchart showing an example of a standard behavior determination process executed by the processing unit 21 of the management server 20. This process is repeatedly executed at predetermined time intervals.

[0041] When the standard behavior determination process is executed, the processing unit 21 first determines whether or not the standard behavior has been registered in the storage unit 23 (step S230) and whether or not measurement data for today has been accumulated in the storage unit 23 (step S232). If the processing unit 21 determines that the standard behavior has not been registered or that measurement data for today has not been accumulated, the processing unit 21 terminates the standard behavior determination process. On the other hand, if the processing unit 21 determines that the standard behavior has been registered and that measurement data for today has been accumulated, the processing unit 21 extracts current behavior, including wake-up time, meal times, number of toilet visits, bathing time, bedtime, etc., from today's measurement data (step S234). Note that although the current behavior is extracted from today's data, it may also be extracted from data for the past few days.

[0042] Next, the processing unit 21 compares the extracted current behavior with the standard behavior registered in the storage unit 23 (step S236) and determines whether the current behavior matches the standard behavior within a predetermined range (step S238). This determination is made by determining whether the difference between the current behavior and the standard behavior (difference in time or number of occurrences) is within an acceptable range. If the processing unit 21 determines that the current behavior matches the standard behavior within a predetermined range, it determines that the current behavior is normal (step S240) and terminates the standard behavior determination process. On the other hand, if the processing unit 21 determines that the current behavior does not match the standard behavior within a predetermined range, it determines that the current behavior is abnormal (step S242) and terminates the standard behavior determination process. This enables early detection of abnormal signs that differ from the standard behavior, which can be useful for early treatment. Furthermore, because the standard behavior is appropriately updated based on behavior that changes due to seasonal factors, it is possible to prevent the current behavior from being erroneously determined to be abnormal.

[0043] 9 is a flowchart showing an example of a specific behavior determination process executed by the processing unit 21 of the management server 20. This process is repeatedly executed at predetermined time intervals.

[0044] When the specific behavior determination process is executed, the processing unit 21 first determines whether or not the specific behavior has been registered in the storage unit 23 (step S250). If the processing unit 21 determines that the specific behavior has not been registered, it terminates the specific behavior determination process. On the other hand, if the processing unit 21 determines that the specific behavior has been registered, it determines whether or not the implementation time zone for the specific behavior to be determined among the registered specific behaviors has passed (step S252). Note that, if an implementation day of the week is specified for the specific behavior to be determined, this determination is made by determining whether or not the implementation time zone for the implementation day has passed. If the processing unit 21 determines that the implementation time zone has not passed, it terminates the specific behavior determination process.

[0045] On the other hand, when it is determined that the implementation time period has elapsed, the processing unit 21 extracts the order of movement through the room (action order) during the implementation time period from the measurement data during the implementation time period stored in the storage unit 23, and checks whether it matches the order of movement through the room (action order) during the specific behavior to be determined (step S254). This process is performed by extracting the measurement data (rooms in which the monitored person is present) during the implementation time period in chronological order, and determining whether the extracted measurement data includes a data group that matches the action order of the specific behavior to be determined.

[0046] Next, the processing unit 21 determines whether or not an implementation day of the week is registered for the specific behavior to be determined (step S256). If the processing unit 21 determines that an implementation day of the week is registered, the processing unit 21 checks whether or not today's day of the week matches the implementation day of the specific behavior to be determined (step S258). On the other hand, if the processing unit 21 determines that an implementation day of the week is not registered, the processing unit 21 skips step S258.

[0047] Next, the processing unit 21 determines whether a required time has been registered for the specific behavior to be determined (step S260). If the processing unit 21 determines that a required time has been registered, it calculates the stay time based on the time information associated with the corresponding measurement data within the execution time period, and determines whether the calculated execution time and the required time for the specific behavior to be determined match within a predetermined range (step S262). For example, if the specific behavior to be determined is washing dishes, this determination is made by comparing the time spent in the kitchen with the time required for washing dishes. If the specific behavior to be determined is taking a walk, this determination is made by comparing the time spent outside with the time required for the walk. On the other hand, if the processing unit 21 determines that a required time has not been registered, it skips step S262.

[0048] Then, when the processing unit 21 determines that the movement order, the day of the week of performance, and the required time all match the specific behavior to be determined ("YES" in step S264), it determines that the specific behavior to be determined has been performed (step S266), transmits the determination result to the monitoring device 30 (step S268), and terminates the specific behavior determination process. When the monitoring device 30 receives the determination result that the specific behavior has been performed, it displays information indicating the implementation status of the specific behavior on the operation display unit 33. This makes it possible to encourage the person being monitored to continue performing the specific behavior.

[0049] On the other hand, if the processing unit 21 determines that any one of the movement order, the day of the week, or the required time does not match the specific behavior of the object to be determined ("NO" in step S264), it determines that the specific behavior of the object to be determined has not been performed (step S270), transmits the determination result to the monitoring device 30 (step S272), and terminates the specific behavior determination process. When the monitoring device 30 receives the determination result that the specific behavior has not been performed, it displays a message on the operation display unit 33 indicating that the specific behavior has not been performed and urging the person to perform the specific behavior. This makes it possible to more reliably cause the person to be monitored to perform the specific behavior.

[0050] The processing unit 21 may also be configured to tally up whether or not a specific behavior has been performed every certain period (for example, one month or one week) to calculate an implementation rate, and determine that the specific behavior has not been performed appropriately if the implementation rate is lower than a predetermined value. This makes it possible to grasp the implementation status of the specific behavior. The processing unit 21 may also be configured to transmit the determination result of the specific behavior to a pre-registered portable information terminal such as a smartphone in order to notify the person being monitored or their guardian. Furthermore, different implementation time periods, implementation days, and required times for the specific behavior may be registered for each period (for example, week, month, or season), and it may be configured to determine whether or not the specific behavior has been performed on the implementation day, implementation time period, and required time corresponding to the current period.

[0051] Here, the correspondence between the main elements of the embodiment and the main elements of the present disclosure described in the claims will be described. That is, the motion sensors 41 to 47 of the present embodiment correspond to the motion sensors of the present disclosure, the memory unit 23 corresponds to the memory unit, the processing unit 21 corresponds to the determination unit, and the operation display unit 33 corresponds to the notification unit.

[0052] It goes without saying that the present disclosure is not limited to the above-described embodiments, and can be embodied in various forms as long as they fall within the technical scope of the present disclosure.

[0053] For example, in the above-described embodiment, the specific behavior is registered in the storage unit 23 by inputting the type of behavior (area moved and order of movement), time period of execution, required time (stay time), etc. in advance via the operation display unit 33. However, the processing unit 21 may extract the specific behavior based on measurement data for a certain period of time acquired and accumulated from the monitoring device 30, similar to the standard behavior.

[0054] The behavior monitoring system disclosed herein includes multiple motion sensors installed in different locations in a residence, a storage unit, and a determination unit. The determination unit stores in advance in the storage unit specific behaviors defined by at least the order in which the motion sensors respond. When any of the motion sensors responds, the determination unit stores the response time in the storage unit as response data, extracts a current behavior from the response data stored in the storage unit, and compares the current behavior with the specific behavior to determine whether the specific behavior was performed correctly. By recording the response time of each motion sensor as response data, it is possible to determine where the monitored person is moving from and to, and to appropriately monitor the behavior of the monitored person moving across multiple areas.

[0055] The behavior monitoring system of the present disclosure may further include a notification unit that notifies information that reflects the determination result of the determination unit, thereby making it possible to encourage the monitored person to perform a specific behavior.

[0056] In the behavior monitoring system of the present disclosure, the specific behavior may be further defined by any one of a time period, a day of the week, a time period, and a duration of stay. This allows the specific behavior to be defined more accurately, and makes it possible to accurately determine whether or not the specific behavior has been performed. Note that the time period may include the year, month, day, and season.

[0057] Furthermore, in the behavior monitoring system of the present disclosure, the determination unit may further extract a standard behavior from the reaction data accumulated in the storage unit over a certain period of time, compare the current behavior with the standard behavior to determine whether the standard behavior has been performed normally, and change the standard behavior based on seasonal changes in the reaction data. In this way, it becomes possible to accurately determine whether the standard behavior is being performed even if the behavior of the monitored person changes due to seasonal factors, etc.

[0058] The present disclosure is not limited to the form of a behavior monitoring system, but may also be in the form of a behavior monitoring method. [Industrial Applicability]

[0059] The present disclosure is applicable to the manufacturing industry of activity monitoring systems. [Explanation of symbols]

[0060] 10 behavior monitoring system, 11 network, 20 management server, 21 processing unit, 22 communication unit, 23 memory unit, 30 monitoring device, 31 control unit, 32 communication unit, 33 operation display unit, 34 speaker, 40 sensors, 41 to 47 human presence sensors, 48 ​​door sensor.

Claims

1. A behavior monitoring system for monitoring the behavior of a monitoring target person living in a residence, a plurality of human presence sensors provided in a plurality of different rooms of the residence, the human presence sensors detecting a person to be monitored; a storage unit for storing data; a determination unit that defines specific behaviors of a monitored person moving through a plurality of rooms in a predetermined order by the response order of the corresponding human presence sensors and stores the defined behaviors in the storage unit, and when any of the plurality of human presence sensors responds, stores the response time in the storage unit as response data, extracts the response data stored in the storage unit in chronological order, and determines whether the specific behavior has been performed normally based on whether the extracted response data includes data that matches the response order of the specific behavior stored in the storage unit; A behavior monitoring system comprising:

2. The behavior monitoring system according to claim 1, A behavior monitoring system comprising a notification unit that notifies information that reflects the determination result of the determination unit.

3. The behavior monitoring system according to claim 1 or 2, The specific behavior is further defined by any one of a time period, a day of the week, a time period, and a duration of stay. Behavioral monitoring system.

4. The behavior monitoring system according to any one of claims 1 to 3, The determination unit Furthermore, a standard behavior is extracted from the reaction data accumulated in the storage unit for a certain period of time, and the current behavior is compared with the standard behavior to determine whether the standard behavior has been performed normally. changing the standard behavior based on a seasonal change in the reaction data; Behavioral monitoring system.

5. A behavior monitoring method for monitoring the behavior of a monitoring target person living in a residence, comprising: a detection step of detecting a person to be monitored in a plurality of different rooms of the residence; a first storage step of defining and storing specific behaviors of the person being monitored moving through a plurality of rooms in a predetermined order, based on the order of reactions in the detection step; a second storage step of storing a reaction time as reaction data when a reaction is detected in any of the plurality of rooms in the detection step; a determination step of extracting the reaction data stored in the second storage step in chronological order, and determining whether the specific behavior has been performed normally based on whether the extracted reaction data includes data that matches the reaction order of the specific behavior stored in the first storage step; A behavior monitoring method comprising:

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