Program, information processing method, and information processing device

The program addresses the limitation of existing monitoring systems by allowing personalized output of icons based on sensor data, enabling targeted and accurate state detection for each user.

JP2025019014APending Publication Date: 2025-02-06SEKISUI CHEMICAL CO LTD
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Patent Information

Application Number
JP2024118781
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-07-25
Filing Date
2024-07-24
Publication Date
2025-02-06

AI Technical Summary

Technical Problem

Existing monitoring systems fail to output icons corresponding to the state detection mode for each subject, limiting personalized and targeted monitoring capabilities.

Method used

A program that acquires settings for multiple types of state detection modes based on data from sensors for each target audience, and outputs icons corresponding to the set mode, utilizing a computer to identify and support the specified detection mode for each user.

Benefits of technology

Enables the output of icons tailored to individual users' state detection modes, enhancing personalized monitoring and improving the accuracy and relevance of monitoring system outputs.

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Abstract

To provide a program, an information processing method, and an information processing device that allow output of an icon corresponding to a state detection mode for each object person.SOLUTION: A computer program causes a computer to execute the processing of: obtaining for each object person a setting of a plurality of types of state detection modes based on data obtained by a sensor; and outputting for each of the object persons an icon corresponding to a set state detection mode. The computer program causes the computer to execute the processing of: specifying a state detection mode to be activated from among the plurality of state detection modes, based on either the data obtained from the sensor or the type of the sensor; and outputting for each object person an icon corresponding to the specified state detection mode.SELECTED DRAWING: Figure 1
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Description

[Technical field]

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

[0002] In recent years, technology related to monitoring systems has been actively developed. For example, Patent Document 1 discloses a bed system that displays multiple images corresponding to multiple bedside terminals on one screen based on multiple bedside terminal information (bed status information or user status information related to the user's status) obtained from multiple bedside terminals, and displays a warning on one of the multiple images when the status information is abnormal. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP2018-186940A Summary of the Invention [Problem to be solved by the invention]

[0004] However, the invention of Patent Document 1 has a problem in that an icon corresponding to a status detection mode cannot be output for each subject.

[0005] In one aspect, an object of the present invention is to provide a program or the like capable of outputting an icon corresponding to a status detection mode for each subject. [Means for solving the problem]

[0006] A program relating to one aspect causes a computer to execute a process of obtaining settings for multiple types of status detection modes for each subject based on data obtained from a sensor, and outputting an icon corresponding to the set status detection mode for each of the subjects.

[0007] A program according to one aspect causes a computer to execute a process of identifying, for each subject, a status detection mode to be active from among a plurality of status detection modes based on data obtained from a sensor or the type of sensor, and outputting, for each subject, an icon corresponding to the identified status detection mode. Effect of the Invention

[0008] In one aspect, an icon corresponding to a status detection mode can be output for each subject. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is an explanatory diagram showing an overview of a monitoring system. [Diagram 2] FIG. 2 is a block diagram showing an example of the configuration of a computer. [Diagram 3] 1 is an explanatory diagram showing configuration examples of a subject DB, a state detection DB, and a sensor information DB. FIG. [Figure 4] 4 is an explanatory diagram showing an example of the configuration of a first state DB and a second state DB; FIG. [Diagram 5] FIG. 2 is an explanatory diagram illustrating an example of the configuration of a state determination DB according to the first embodiment. [Figure 6] FIG. 2 is a block diagram showing a configuration example of a detection device. [Figure 7] 13 is an explanatory diagram showing an example of a screen for accepting a setting of the status detection mode to be on or off; FIG. [Figure 8] 13 is an explanatory diagram showing an example of a screen for accepting an on / off setting of an active status detection mode; FIG. [Figure 9] FIG. 2 is an explanatory diagram showing an example of a display screen according to the first embodiment. [Figure 10] 4 is a flowchart showing a processing procedure according to the first embodiment. [Figure 11] 4 is a flowchart showing a processing procedure according to the first embodiment. [Figure 12] FIG. 11 is an explanatory diagram illustrating an example of the configuration of a state determination DB according to the second embodiment. [Figure 13] FIG. 11 is an explanatory diagram showing an example of a second status icon. [Figure 14] FIG. 11 is an explanatory diagram showing an example of a display screen according to the second embodiment. [Figure 15] 11 is a flowchart showing a processing procedure according to the second embodiment. [Figure 16] 11 is a flowchart showing a processing procedure according to the second embodiment. [Figure 17] FIG. 11 is an explanatory diagram showing an example of a display screen according to the third embodiment. [Figure 18] 11 is a flowchart showing a processing procedure according to the third embodiment. [Figure 19] FIG. 13 is an explanatory diagram showing an example of a display screen according to the fourth embodiment. [Figure 20] 13 is a flowchart showing a processing procedure according to a fourth embodiment. [Figure 21] FIG. 11 is an explanatory diagram showing an overview of a monitoring system according to a fifth embodiment. [Figure 22] FIG. 2 is a block diagram showing an example of the configuration of a camera. [Diagram 23] FIG. 13 is an explanatory diagram illustrating an example of a record layout of a status detection DB according to the fifth embodiment. [Figure 24] FIG. 13 is an explanatory diagram showing an example of the configuration of a state determination DB according to the fifth embodiment. [Diagram 25] FIG. 13 is an explanatory diagram showing an example of a screen for accepting a setting of ON or OFF of a status detection mode according to the fifth embodiment. [Figure 26] FIG. 13 is an explanatory diagram showing an example of a display screen according to the fifth embodiment. [Figure 27] FIG. 11 is an explanatory diagram showing an example of a screen including an image. [Figure 28] 13 is a flowchart showing a processing procedure according to the fifth embodiment. [Figure 29] 13 is a flowchart showing a processing procedure according to the fifth embodiment. [Diagram 30] FIG. 13 is an explanatory diagram showing an example of a confirmation screen. [Diagram 31] 13 is a flowchart showing a processing procedure according to the sixth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] (Embodiment 1) The first embodiment relates to a form in which an icon corresponding to a plurality of types of status detection modes based on data obtained from a sensor is output for each subject. Fig. 1 is an explanatory diagram showing an overview of a monitoring system. The monitoring system acquires settings for a plurality of types of status detection modes for each subject, and outputs an icon corresponding to the status detection mode. The monitoring system includes an information processing device 1 and a detection device 2, and each device transmits and receives information via a network N such as the Internet.

[0011] The information processing device 1 processes, stores, and transmits / receives various information. Specifically, the information processing device 1 performs processes such as receiving and displaying the subject's condition. The information processing device 1 is, for example, a server device, a personal computer, a smartphone, or a general-purpose tablet PC (personal computer).

[0012] The information processing device 1 may be composed of multiple devices. In that case, the information processing device 1 is composed of a server device, a smartphone, etc. The server device processes, transmits, receives, etc. various information. The information processing device 1 receives, displays, etc. information about the subject's condition. In this embodiment, a computer 1 is used as an example of the information processing device 1, but the present invention is not limited thereto.

[0013] The detection device 2 detects vibrations, sounds, etc. related to the subject and determines the state of the subject. The types of the subject's state include, but are not limited to, the subject's movement in bed, a light sleep state (hereinafter referred to as light sleep), a sleep state other than light sleep (hereinafter referred to as sleep), an awakening state, a leaving state, whether or not the subject has left the room, whether or not the subject has excreted, whether or not the subject is in a critical condition, whether or not the subject has a lung abnormality, and whether or not the subject has a heart abnormality. The subject's movement in bed includes an in-bed state, a body movement occurrence (body movement) state, a starting to wake up (starting to get up) state, a getting up (getting up) state, an out-of-bed (absent) state, and a bed-occupied state. Only one of the "leaving state" and "whether or not the subject has left the room" may be determined.

[0014] 2 is a block diagram showing an example of the configuration of a computer 1. The computer 1 includes a control unit 11, a storage unit 12, an input unit 13, a communication unit 14, a display unit 15, a reading unit 16, and a large-capacity storage unit 17.

[0015] The control unit 11 includes one or more processors such as a central processing unit (CPU), a micro processing unit (MPU), a graphics processing unit (GPU), etc. The control unit 11 may also be configured by combining digital signal processors (DSPs), field programmable gate arrays (FPGAs), etc.

[0016] The storage unit 12 includes memory elements such as a RAM (Random Access Memory) or a ROM (Read Only Memory). The storage unit 12 stores a control program 1P or data required for processing by the control unit 11. The storage unit 12 also temporarily stores data required for arithmetic processing by the control unit 11. The control unit 11 reads and executes the control program 1P (program product) to perform various information processing or control processing related to the computer 1.

[0017] The control program 1P may be deployed on a single computer or at one site, or may be distributed across multiple sites. The control program 1P may be deployed so as to be executable on multiple computers interconnected by a communications network. Although the control unit 11 is described as a single processor, it may be a multiprocessor.

[0018] The input unit 13 is, for example, an input device such as a mouse, a keyboard, a touch panel, or a button. The input unit 13 outputs the received operation information to the control unit 11. The communication unit 14 is a communication module for performing processing related to communication. The communication unit 14 transmits and receives information to and from the detection device 2 via the network N.

[0019] The display unit 15 is, for example, a liquid crystal display or an organic EL (Electro Luminescence) display, etc. The display unit 15 outputs various information according to instructions from the control unit 11. The display unit 15 may be a touch panel integrated with the input unit 13.

[0020] The reading unit 16 reads the portable storage medium 1a. The portable storage medium 1a includes a CD (Compact Disc)-ROM or a DVD (Digital Versatile Disc)-ROM. The reading unit 16 reads the control program 1P from the portable storage medium 1a. The control unit 11 stores the read control program 1P in the storage unit 12. The reading unit 16 may download the control program 1P from another computer via a network N or the like. In this case, the control unit 11 may store the downloaded control program 1P in the storage unit 12. The reading unit 16 may incorporate the control program 1P from the semiconductor memory 1b. The control unit 11 may store the control program 1P in the mass storage unit 17.

[0021] The mass storage unit 17 includes a storage medium such as a hard disk drive (HDD) or a solid state disk (SSD), etc. The mass storage unit 17 also stores a subject DB 171, a state detection DB 172, a sensor information DB 173, a first state DB 174, a second state DB 175, and a state determination DB 176, which will be described later.

[0022] In this embodiment, the storage unit 12 and the large-capacity storage unit 17 may be configured as an integrated storage device. The large-capacity storage unit 17 may be configured with a plurality of storage devices. The large-capacity storage unit 17 may be an external storage device connected to the computer 1.

[0023] FIG. 3 is an explanatory diagram showing an example of the configuration of the subject DB, the status detection DB, and the sensor information DB. The subject DB 171 stores information about the subject. The subject DB 171 includes a subject ID column, a name column, a room number column, and a sensor information column. The subject ID column stores a subject ID that can uniquely identify the subject. The subject ID includes multiple letters and numbers. The name column stores the name of the subject. The room number column stores the room number of the subject. The sensor information column stores the model number and serial number of the sensor used by the subject.

[0024] The state detection DB 172 stores a plurality of state detection modes and icons corresponding to the plurality of state detection modes. The state detection DB 172 includes a state detection ID column, a detection item column, and a detection icon column. The state detection ID column stores a state detection ID. The state detection ID identifies a record of the state detection DB 172. The state detection ID includes a plurality of letters and numbers. The detection item column stores a type of state detection mode. The types of state detection modes include a bed exit function, a sleep function, a room exit function, an excretion function, a respiratory function, a cardiac function, and a restlessness function. The bed exit function detects the subject's bed state, body movement state, wake-up state, rise-up state, bed exit state, and bed stay state. The sleep function detects the subject's light sleep state, the subject's sleep state, and the subject's awake state. The room exit function detects the room exit state or whether the subject has left the room. The excretion function detects whether the subject has excreted or not. The respiratory function detects whether or not there is an abnormality in the subject's lungs. The cardiac function detects whether or not there is an abnormality in the subject's heart. The agitation function detects whether or not the subject is in a critical condition. The detection icon column stores icons (hereinafter referred to as detection icons) corresponding to the above-mentioned condition detection modes. The detection icon column stores, for example, a detection icon for the bed exit function, a detection icon for the sleep function, a detection icon for the exit function, a detection icon for the excretion function, a detection icon for the respiratory function, a detection icon for the cardiac function, and a detection icon for the agitation function.

[0025] The sensor information DB 173 stores the sensor model number, the sensor name, and the status detection mode corresponding to the sensor. The sensor information DB 173 includes a sensor model number column, a sensor name column, and a status detection mode column. The sensor model number column stores the sensor model number. The sensor model number includes a plurality of letters and numbers. The sensor name column stores the name of the sensor. The status detection mode column stores the type of status detection mode corresponding to the sensor.

[0026] FIG. 4 is an explanatory diagram showing an example of the configuration of the first status DB and the second status DB. The first status DB 174 stores first statuses corresponding to a plurality of types of status detection modes and first status icons associated with the first statuses. The first status DB 174 includes a first status ID column, a first status column, and a first status icon column. The first status ID column stores a first status ID. The first status ID identifies a record in the first status DB 174. The first status ID includes a plurality of letters and numbers. The first status column stores a first status. The first status includes an in-bed status, a body movement status, a standing status, a standing status, an out-of-bed status, a status in bed, a light sleep status, a sleeping status, an awake status, and an out-of-room status. The first status icon column stores a first status icon associated with the first status. The first state icon column stores, for example, a first state icon for going to bed, a first state icon for body movement, a first state icon for getting up, a first state icon for getting up, a first state icon for getting out of bed, a first state icon for staying in bed, a first state icon for light sleep, a first state icon for sleeping, a first state icon for waking up, and a first state icon for leaving the room.

[0027] The second status DB 175 stores second statuses corresponding to a plurality of types of status detection modes and second status icons associated with the second statuses. The second status DB 175 includes a second status ID column, a second status column, and a second status icon column. The second status ID column stores a second status ID. The second status ID identifies a record of the second status DB 175. The second status ID includes a plurality of letters and numbers. The second status column stores a second status. The second status includes whether or not the subject has left the room, whether or not there is an abnormality in the subject's lungs, whether or not the subject is in a critical condition, whether or not the subject has excreted, and whether or not there is an abnormality in the subject's heart. The second status icon column stores a second status icon associated with the second status. The second status icon column will be described in detail later.

[0028] FIG. 5 is an explanatory diagram showing an example of the configuration of a state determination DB according to the first embodiment. When the state determination DB 176 receives a setting of the state detection mode to be on or off, the state determination DB 176 stores a state detection ID corresponding to the state detection mode set to on for each subject. The state detection mode is set to on or off via the input unit 13. The state determination DB 176 includes a state determination ID column, a subject ID column, and an on state detection mode column. The state determination ID column stores a state determination ID. The state determination ID identifies a record of the state determination DB 176. The state determination ID includes a plurality of letters and numbers. The subject ID column is the same as the subject ID column stored in the subject DB 171. The on state detection mode column stores a state detection ID. The state detection ID stored in the on state detection mode column corresponds to the state detection mode for which the on setting has been received.

[0029] In the example of Fig. 5, information about subject A is stored in a record including T00A in the subject ID. In the record including T00A, Z001 is stored in the ON status detection mode column. Z001 is a status detection ID indicating an information detection mode corresponding to the bed exit function. The control unit 11 accepts a setting of ON for the information detection mode corresponding to the bed exit function for subject A.

[0030] Information about subject B is stored in a record whose subject ID includes T00B. In the record whose subject ID includes T00B, Z001 and Z002 are stored in the on state detection mode column. Z002 is a state detection ID indicating an information detection mode corresponding to the sleep function. The control unit 11 accepts the setting of on for the information detection mode corresponding to the bed exit function and the sleep function for subject B.

[0031] Information on subject C is stored in a record including T00C in the subject ID. In a record including T00B, Z001, Z002, and Z012 are stored in the on state detection mode column. Z012 is a state detection ID indicating an information detection mode corresponding to the respiratory function. The control unit 11 accepts settings of on for the information detection modes corresponding to the bed exit function, sleep function, and respiratory function for subject C.

[0032] The above-mentioned storage formats of each DB are merely examples, and other storage formats may be used as long as the relationships between the data are maintained.

[0033] 6 is a block diagram showing an example of the configuration of the detection device 2. The detection device 2 includes a piezoelectric sensor 21, a door sensor 22, a communication unit 23, a control unit 24, and a storage unit 25.

[0034] The detection device 2 receives an ON setting for the status detection mode from the computer 1. The detection device 2 reflects the received ON setting for the status detection mode in the piezoelectric sensor 21 and the door sensor 22. The detection device 2 acquires detection signals of vibrations, sounds, etc., emitted by the subject, output from the piezoelectric sensor 21 and the door sensor 22. The detection device 2 extracts a feature signal from the acquired detection signal. The detection device 2 judges the subject's status based on the extracted feature signal.

[0035] The detection device 2 may determine the state of the subject corresponding to the state detection mode by combining multiple measuring devices, etc., in addition to the piezoelectric sensor 21 and the door sensor 22. The detection device 2 may determine the state of the subject corresponding to the state detection mode by replacing the piezoelectric sensor 21 and the door sensor 22 with multiple other measuring devices, etc. In this case, the multiple measuring devices may be, for example, a camera sensor, a Doppler sensor, a human sensor, a microphone, a load sensor, a capacitance sensor, an acceleration sensor, an odor sensor, and an electronic stethoscope.

[0036] The piezoelectric sensor 21 and the door sensor 22 may be provided outside the detection device 2 and connected to the detection device 2.

[0037] The piezoelectric sensor 21 is preferably installed at a position that does not contact the subject so as not to cause discomfort to the subject. The piezoelectric sensor 21 may be installed on a bed on which the subject lies. The piezoelectric sensor 21 may be installed, for example, between the bed on which the subject lies and a mattress on the bed. The piezoelectric sensor 21 may be installed between a bed sheet on the mattress and the mattress.

[0038] Furthermore, when the subject is wearing clothes, the piezoelectric sensor 21 may be installed on the top surface of the bed. When arranging the piezoelectric sensor 21 at the above-mentioned position, it is preferable that the piezoelectric sensor 21 is formed, for example, in a thin plate (sheet) shape. This makes it possible to detect vibrations and sounds generated by the subject without causing discomfort to the subject using the bed.

[0039] The door sensor 22 is disposed near the door. The door sensor 22 detects whether the door is opened or closed. The door sensor 22 is, for example, a magnet sensor. The communication unit 23 is a communication module for performing processing related to communication, and transmits and receives information to and from the computer 1 via the network N.

[0040] The control unit 24 includes a signal extraction unit 241 and a determination unit 242. The signal extraction unit 241 extracts a characteristic signal of the subject from the detection signal output from the piezoelectric sensor 21. The detection signal is a signal (waveform data) itself indicating vibrations, sounds, and the like emitted by the subject, or a signal that has been subjected to amplification processing or noise removal processing.

[0041] The piezoelectric sensor 21 can detect vibrations and sounds of various frequency ranges generated by a target person. In other words, the detection signal output from the piezoelectric sensor 21 is a signal in which a plurality of vibrations and sounds having various frequency characteristics are superimposed on each other. The door sensor 22 can detect the open / closed state of the door. The detection signal output from the door sensor 22 is a signal indicating the open / closed state of the door.

[0042] In one example, the detection signal includes at least one of a heart rate signal, a respiratory vibration signal, a body movement signal, a snoring signal, an accessory noise signal, a bowel peristalsis sound signal, or an opening / closing signal. The heart rate signal indicates the heart rate of the subject. The respiratory vibration signal indicates respiratory vibration of the subject. The body movement signal indicates body movement of the subject. The snoring signal indicates snoring of the subject. The accessory noise signal indicates accessory noise of the subject. The bowel peristalsis sound signal indicates bowel peristalsis sound of the subject. The opening / closing signal indicates that the subject has opened or closed a door.

[0043] The signal extraction unit 241 applies a well-known technique such as frequency separation to the detection signal output from the piezoelectric sensor 21 to extract a feature signal from the detection signal. The detection signal is separated into a heartbeat signal, a respiratory vibration signal, a body movement signal, a snoring signal, an accessory noise signal, an intestinal peristalsis sound signal, etc., by a technique such as frequency separation. The signal extraction unit 241 stores the heartbeat signal, the respiratory vibration signal, the body movement signal, the snoring signal, the accessory noise signal, the intestinal peristalsis sound signal, etc., separated by a technique such as frequency separation, in the storage unit 25 as feature signals. In addition, the opening / closing signal output from the door sensor 22 is stored in the storage unit 25 as a feature signal. The feature signal includes at least one of the heartbeat signal, the respiratory vibration signal, the body movement signal, the snoring signal, the accessory noise signal, the intestinal peristalsis sound signal, the opening / closing signal, etc.

[0044] The determination unit 242 determines the state of the subject based on the feature signal stored in the storage unit 25 and an estimation model 251 described later. The control unit 24 converts the state of the subject determined by the determination unit 242 into a corresponding first state ID and second state ID. The control unit 24 transmits the converted first state ID and second state ID to the computer 1 via the communication unit 23.

[0045] The storage unit 25 includes memory elements such as a RAM (Random Access Memory) and a ROM (Read Only Memory). The storage unit 25 stores programs, data, and the like required for processing by the control unit 24. The storage unit 25 stores the first state ID and the second state ID included in the first state DB 174 and the second state DB 175 shown in FIG. 4. The storage unit 25 also temporarily stores data and the like required for calculation processing by the control unit 24. The storage unit 25 also includes an estimation model 251.

[0046] The estimation model 251 is an estimator that estimates the state of the subject based on the feature signal separated by the signal extraction unit 241. The estimation model 251 is a trained model generated by machine learning. The control unit 24 can determine the state of the subject based on the estimation result by the estimation model 251.

[0047] A method of determining the subject's condition using the estimation model 251 will be described. The signal extraction unit 241 applies a well-known technique such as frequency separation to the detection signals to extract characteristic signals of the subject (heartbeat signal, respiratory vibration signal, body movement signal, snoring signal, accessory noise signal, intestinal peristalsis sound signal, opening and closing signal, etc.) from the detection signals output from the piezoelectric sensor 21 and the door sensor 22. The determination unit 242 uses the estimation model 251 to determine the subject's condition from the extracted characteristic signals.

[0048] Specifically, the estimation model 251 is a learning model constructed by performing machine learning using training data in which the feature signals are explanatory variables and the subject's state (bed state, body movement state, waking state, rising state, getting out of bed state, in-bed state, light sleep state, sleeping state, awake state, leaving state, whether or not the subject has left the room, whether or not the subject has excreted, whether or not there is an abnormality in the lungs, whether or not the subject is in critical condition, whether or not there is an abnormality in the heart, etc.) is objective variables. The estimation model 251 is used as a program module that is a part of artificial intelligence software. The estimation model 251 is an estimator in which a neural network has been constructed that receives the feature signals of the subject as input and outputs an estimation result that estimates the subject's state.

[0049] A well-known machine learning algorithm may be applied to the machine learning for generating the estimation model 251. The location of the estimation model 251 is not limited to the storage unit 25. For example, the estimation model 251 may be stored in the computer 1 or an external device. Although the above-mentioned estimation model 251 is constructed using a feature signal, the present invention is not limited to this. The estimation model 251 may be constructed by performing machine learning based on either or both of a detection device and a feature signal.

[0050] The method of determining the state of the subject is not limited to using the estimation model 251 described above. The determination unit 242 may determine that the state of the subject is in bed when the detection signal detected from the piezoelectric sensor 21 changes significantly and exceeds a reference threshold value. The determination unit 242 may determine that the state of the subject is in bed when at least one of a heartbeat signal and a respiratory vibration signal is detected from the piezoelectric sensor 21. The determination unit 242 may determine that the state of the subject is in body movement when a body movement signal is significantly detected from the piezoelectric sensor 21.

[0051] The determination unit 242 may determine that the state of the subject is the sitting state when a detection signal indicating the initial movement of the subject getting up is detected from the piezoelectric sensor 21. The determination unit 242 may determine that the state of the subject is the sitting state when the detection signal indicating the initial movement of the subject getting up is detected from the piezoelectric sensor 21, the detection signal falls below the reference threshold and a stable sitting state is detected. The determination unit 242 may determine that the state of the subject is out of bed when the detection signal indicating the initial movement of the subject getting up is detected from the piezoelectric sensor 21, the detection signal falls significantly below the reference threshold and the state significantly below the reference threshold is maintained.

[0052] The determination unit 242 may determine that the state of the subject is the in-bed state when a detection signal exceeding a reference threshold is detected from the piezoelectric sensor 21 and then a detection signal below the reference threshold is detected. The determination unit 242 may determine that the state of the subject is the in-bed state when the heartbeat signal and the respiratory vibration signal detected from the piezoelectric sensor 21 are below the reference threshold. The determination unit 242 may determine that all states other than the in-bed state, the body movement state, the sitting up state, the sitting up state, and the out-of-bed state are the in-bed state. When the determination unit 242 determines that the state of the subject is the in-bed state, it may additionally determine that the state is a light sleep state, a sleeping state, or an awake state according to the pattern of the characteristic signals including the heartbeat signal, the respiratory vibration signal, and the body movement signal detected from the subject.

[0053] The determination unit 242 may determine that the subject is in a target state or that the subject has left the room when the opening and closing of a door is detected after the subject's state is determined to be in a bed-out state. The determination unit 242 may determine that the subject has not left the room when a detection signal indicating a bed-in state, a body movement state, a sitting up state, a rising state, a bed-out state, or a bed-occupied state is detected for the subject after the opening and closing of a door is detected. The determination unit 242 may determine that the subject's lungs have an abnormality when an adnexal having a specific frequency characteristic is detected. The determination unit 242 may determine that the subject's lungs do not have an abnormality when an adnexal having a specific frequency characteristic is not detected. The determination unit 242 may determine that the subject is in a critical state when a large drop in a heartbeat signal, a respiratory vibration signal, or the like is detected. The determination unit 242 may determine that the subject is not in a critical state when a large drop in a heartbeat signal, a respiratory vibration signal, or the like is not detected.

[0054] The determination unit 242 may determine that the subject has excreted when intestinal peristalsis sounds having specific frequency characteristics are detected. The determination unit 242 may determine that the subject has not excreted when intestinal peristalsis sounds having specific frequency characteristics are not detected. The determination unit 242 may determine that the subject has an abnormality in the heart of the subject when sounds having specific frequency characteristics different from the adventitious sounds and intestinal peristalsis sounds are detected. The determination unit 242 may determine that the subject has no abnormality in the heart of the subject when sounds having specific frequency characteristics different from the adventitious sounds and intestinal peristalsis sounds are not detected.

[0055] The above-mentioned determination process by the determination unit 242 may be performed by the computer 1 or an external device.

[0056] The processing performed by each device in the monitoring system according to the first embodiment will be described. The control unit 11 accepts input of a subject ID via the input unit 13. Fig. 7 is an explanatory diagram showing an example of a screen for accepting an on / off setting of the status detection mode. After input of the subject ID is completed, the screen is output to the display unit 15 in association with the subject ID. The control unit 11 becomes able to accept an on / off setting of the status detection mode for each subject.

[0057] The screen includes a bed exit function setting button 11a, a sleep function setting button 11b, an exit function setting button 11c, a respiratory function setting button 11d, an agitation function setting button 11e, an excretion function setting button 11f, and a heart function setting button 11g.

[0058] The bed exit function setting button 11a is a button that accepts the setting of the status detection mode corresponding to the bed exit function to be on or off. The sleep function setting button 11b is a button that accepts the setting of the status detection mode corresponding to the sleep function to be on or off. The exit function setting button 11c is a button that accepts the setting of the status detection mode corresponding to the exit function to be on or off. The respiratory organ function setting button 11d is a button that accepts the setting of the status detection mode corresponding to the respiratory organ function to be on or off.

[0059] The agitation function setting button 11e is a button that accepts the setting of the condition detection mode corresponding to the agitation function to be on or off. The excretion function setting button 11f is a button that accepts the setting of the condition detection mode corresponding to the excretion function to be on or off. The cardiac function setting button 11g is a button that accepts the setting of the condition detection mode corresponding to the cardiac function to be on or off.

[0060] When the control unit 11 receives a touch (click) operation of the bed exit function setting button 11a, the sleep function setting button 11b, the exit function setting button 11c, the respiratory function setting button 11d, the agitation function setting button 11e, the excretion function setting button 11f, and the cardiac function setting button 11g, it receives the setting of the above-mentioned condition detection mode to on or off.

[0061] Furthermore, the control unit 11 can specify a status detection mode to be active among a plurality of status detection modes based on the data obtained from the sensor or the type of the sensor. Active indicates, for example, a state in which the status detection mode can be set to on or off.

[0062] A method for identifying the state detection mode to be activated based on data obtained from the sensor will be described below. The data obtained from the sensor is, for example, a state determination result transmitted from the detection device 2.

[0063] For example, it is assumed that the determination results regarding the subject A and the subject B include at least one first state ID from D101 to D106 and at least one first state ID from D107 to D109. In this case, the control unit 11 specifies, as active, the state detection modes corresponding to the getting out of bed function and the sleeping function associated with the above-mentioned first state ID.

[0064] For example, it is assumed that the determination result regarding the subject C includes at least one first state ID from D101 to D106 and at least one first state ID from D107 to D109. It is also assumed that the determination result regarding the subject C includes a second state ID of D202a or D202b. In this case, the control unit 11 specifies, as active, state detection modes corresponding to the bed exit function, the sleep function, and the respiratory function associated with the above-mentioned first state ID and second state ID.

[0065] In addition, it is assumed that the determination result includes the first state ID D110 or the second state ID D201a or D201b. In that case, the control unit 11 specifies the state detection mode corresponding to the leaving function associated with the above-mentioned first state ID and second state ID as active.

[0066] A method of identifying a status detection mode to be made active based on the type of sensor will be described. The type of sensor includes the type of sensor itself, such as a piezoelectric sensor 21, a door sensor 22, a microphone, a camera sensor, and a Doppler sensor. The type of sensor also includes types based on model numbers, such as an old model and a new model, when the same sensor is used. The status determination result transmitted from the detection device 2 includes the model number of the sensor stored in the sensor information DB 173. The control unit 11 identifies, as active, a status detection mode corresponding to the model number of the sensor included in the determination result from the sensor information DB 173.

[0067] For example, a type A piezoelectric sensor is used to detect the status of subjects A and B. In this case, the determination result transmitted from the detection device 2 includes SO1. SO1 is a model number indicating the type A piezoelectric sensor. The control unit 11 specifies the status detection mode corresponding to the bed exit function and the sleep function associated with SO1 as active.

[0068] For example, a type B piezoelectric sensor is used to detect the condition of the subject C. In this case, the determination result transmitted from the detection device 2 includes SO2. SO2 is a model number indicating the type B piezoelectric sensor. The control unit 11 specifies, as active, the condition detection modes corresponding to the bed exit function, sleep function, excretion function, respiratory function, cardiac function, and agitation function associated with SO2.

[0069] In addition, it is assumed that the determination result regarding the target person includes DO1. DO1 is a model number indicating a door sensor. The control unit 11 specifies the state detection mode corresponding to the exit function associated with DO1 as active.

[0070] In addition, it is assumed that the determination result regarding the subject includes a plurality of model numbers. In this case, the control unit 11 identifies the state detection modes associated with the plurality of model numbers from the sensor information DB 173 as active, respectively.

[0071] The sensor name used for the subject may be manually registered when registering information about the subject. In this case, the sensor name used for the subject is stored in the subject DB 171. The control unit 11 identifies the state detection mode associated with the sensor name as active from the sensor information DB 173.

[0072] An embodiment in which the status detection mode to be activated is specified by the type of sensor will be described below. Fig. 8 is an explanatory diagram showing an example of a screen for accepting the setting of the status detection mode to be activated to ON or OFF. After the input of the subject ID and the specification of the status detection mode to be activated are completed, the screen is output to the display unit 15 in association with the subject ID. The control unit 11 becomes able to accept the setting of the status detection mode to be ON or OFF for each subject.

[0073] In the screen shown in Fig. 8, the bed exit function setting button 11a and the sleep function setting button 11b are output in bold. That is, the control unit 11 specifies the state detection mode corresponding to the bed exit function and the sleep function as active based on the type of sensor. The control unit 11 accepts touch (click) operations on the bed exit function setting button 11a and the sleep function setting button 11b.

[0074] In this screen, the exit function setting button 11c, the respiratory function setting button 11d, the agitation function setting button 11e, the excretion function setting button 11f, and the cardiac function setting button 11g are output in light characters. That is, the control unit 11 specifies the state detection modes corresponding to the exit function, the respiratory function, the agitation function, the excretion function, and the cardiac function as inactive based on the type of sensor. The control unit 11 does not accept touch (click) operations for the exit function setting button 11c, the respiratory function setting button 11d, the agitation function setting button 11e, the excretion function setting button 11f, and the cardiac function setting button 11g.

[0075] The display format of the exit function setting button 11c, the respiratory function setting button 11d, the agitation function setting button 11e, the excretion function setting button 11f, and the heart function setting button 11g is not limited to this. The above-mentioned buttons may be output semi-transparently. The above-mentioned buttons may be erased.

[0076] When the computer 1 receives a touch (click) operation on the above-mentioned button, the computer 1 may output a message including a message that the change is not accepted on the screen. The buttons shown in Fig. 7 and Fig. 8 are set to OFF beforehand, but may be set to ON beforehand. The above-mentioned buttons may be in the form used in an input form such as a radio button, a check box, and a select box.

[0077] The control unit 11 acquires a status detection ID corresponding to the information detection mode for which an on-setting has been accepted from the on / off settings for the status detection modes shown in Fig. 7 or Fig. 8, from the status detection DB 172. The control unit 11 generates a status determination ID. The control unit 11 stores the status determination ID in the status determination DB 176.

[0078] The control unit 11 stores the subject ID and the condition detection ID in the condition determination DB 176 in association with the condition determination ID. The control unit 11 reads out a detection icon associated with the condition detection ID from the condition detection DB 172. The control unit 11 outputs the read out detection icon to the display unit 15. The control unit 11 transmits an on or off setting for the above-mentioned condition detection mode to the detection device 2.

[0079] The control unit 24 receives the on or off setting for the status detection mode transmitted by the computer 1. The control unit 24 causes the piezoelectric sensor 21 and the door sensor 22 to reflect the on or off setting of the status detection mode that has been received.

[0080] 9 is an explanatory diagram showing an example of a display screen according to embodiment 1. The screen is output to the display unit 15. A combination of a detection icon, a first status icon, and information identifying a subject is output to the screen for each subject (A, B, and C).

[0081] The control unit 11 extracts a record including a specific subject ID from the state determination DB 176 shown in FIG. 5. The specific subject ID is, for example, a subject ID that can uniquely identify the subject A, the subject B, and the subject C. The control unit 11 identifies the state detection ID included in the extracted record of the state determination DB 176. The control unit 11 extracts a record including the identified state detection ID from the state detection DB 172. The control unit 11 reads out the detection icon included in the extracted record of the state detection DB 172. The control unit 11 outputs the read out detection icon to the screen. The detection icon is output to areas d01, d02, and d03 of the screen. The detection icon i01 for the bed exit function is output to the area d01. The detection icon i01 for the bed exit function and the detection icon i02 for the sleep function are output to the area d02. In the area d03, a detection icon i01 for the bed exit function, a detection icon i02 for the sleep function, and a detection icon i03 for the respiratory function are output. The first status icon and the information for identifying the subject will be described later.

[0082] A method of outputting a detection icon for subject A on the screen is shown. The control unit 11 extracts records including T00A in the subject ID column from the status determination DB 176 shown in FIG. 5. The control unit 11 identifies Z001 stored in the status detection mode column set to ON from the extracted records. Z001 is a status detection ID indicating a status detection mode corresponding to the bed exit function. The control unit 11 reads out a detection icon i01 for the bed exit function corresponding to Z001 from the status detection DB 172. The control unit 11 outputs the read out detection icon i01 for the bed exit function to the area d01.

[0083] A method of outputting the detection icon of the subject B on the screen is shown. The control unit 11 extracts records including T00B in the subject ID column from the state determination DB 176 shown in FIG. 5. The control unit 11 identifies Z001 and Z002 stored in the state detection mode column set to ON from the extracted records. Z002 is a state detection ID indicating a state detection mode corresponding to the sleep function. The control unit 11 reads out the detection icon i01 for the bed exit function corresponding to Z001 and the detection icon i02 for the sleep function corresponding to Z002 from the state detection DB 172. The control unit 11 outputs the read detection icon i01 for the bed exit function and the detection icon i02 for the sleep function to the area d02.

[0084] A method of outputting the detection icon of the subject C on the screen is shown. The control unit 11 extracts records including T00C in the subject ID column from the state determination DB 176 shown in FIG. 5. The control unit 11 identifies Z001, Z002, and Z012 stored in the state detection mode column set to ON from the extracted records. Z012 is a state detection ID indicating a state detection mode corresponding to the respiratory function. The control unit 11 reads out the detection icon i01 for the bed exit function corresponding to Z001, the detection icon i02 for the sleep function corresponding to Z002, and the detection icon i03 for the respiratory function corresponding to Z012 from the state detection DB 172. The control unit 11 outputs the read detection icon i01 for the bed exit function, the detection icon i02 for the sleep function, and the detection icon i03 for the respiratory function to the area d03.

[0085] The control unit 11 specifies the status detection modes corresponding to the bed exit function and the sleep function as active for the subject A. The control unit 11 accepts the setting of the status detection mode corresponding to the bed exit function to be on for the subject A.

[0086] The control unit 11 specifies the state detection modes corresponding to the bed getting out function and the sleep function as active for the subject B. The control unit 11 accepts the setting of the state detection modes corresponding to the bed getting out function and the sleep function to be on for the subject B.

[0087] The control unit 11 specifies, as active, the condition detection modes corresponding to the bed getting out function, the sleep function, the room leaving function, the excretion function, the respiratory function, the cardiac function, and the agitation function for the subject C. The control unit 11 accepts the setting of the condition detection modes corresponding to the bed getting out function, the sleep function, and the respiratory function for the subject C to ON.

[0088] 10 and 11 are flowcharts showing a processing procedure according to the first embodiment. The control unit 11 accepts an input of a subject ID via the input unit 13 (step S101). In this case, the control unit 11 can specify a status detection mode to be active from among a plurality of types of status detection modes based on the type of sensor used by the subject. Specifically, the control unit 11 extracts the model number of the sensor included in the determination result (step S102). The control unit 11 specifies a status detection mode associated with the extracted model number of the sensor as active from the sensor information DB 173 (step S103). The control unit 11 outputs a setting screen for the plurality of types of status detection modes to the display unit 15 in association with the subject ID (step S104). At this time, the status detection mode specified as active on the setting screen is output in a form in which on or off can be selected by an input form or the like. On the other hand, the status detection mode specified as inactive is output in a form in which on or off cannot be selected by changing the display format or the like. The control unit 11 receives an on or off setting for a plurality of status detection modes via the input unit 13 (step S105). The control unit 11 acquires a status detection ID corresponding to the information detection mode for which an on setting has been received (step S106). The control unit 11 generates a status determination ID (step S107). The control unit 11 stores the status determination ID in the status determination DB 176 (step S108). The control unit 11 stores the subject ID and the status detection ID in the status determination DB 176 in association with the status determination ID (step S109).

[0089] The control unit 11 identifies a state detection ID corresponding to a specific subject ID from the state determination DB 176 (step S110). The control unit 11 reads out a detection icon associated with the identified state detection ID from the state detection DB 172 (step S111). The control unit 11 outputs the read out detection icon for each subject to the display unit 15 (step S112). The control unit 11 transmits settings for multiple types of state detection modes to the detection device 2 (step S113).

[0090] The control unit 24 receives the setting for the status detection mode transmitted by the computer 1 (step S114). The control unit 24 reflects the received setting of the status detection mode (on or off) in the piezoelectric sensor 21 and the door sensor 22 (step S115).

[0091] The order of steps S110 to S115 may be changed, and multiple processes may be performed in parallel.

[0092] According to this embodiment, it is possible to accept on / off settings for a plurality of types of status detection modes for each subject.

[0093] According to this embodiment, it is possible to specify, for each subject, a status detection mode to be made active from among a plurality of status detection modes, based on data obtained from the sensor or the type of sensor.

[0094] According to this embodiment, it is possible to not accept, for each subject, an on / off setting for a status detection mode that is not specified as active.

[0095] According to this embodiment, it is possible to output a screen for turning the setting on or off for each status detection mode identified as active.

[0096] According to this embodiment, it is possible to output a detection icon for each subject.

[0097] (Embodiment 2) The second embodiment relates to a form in which, when the detection device 2 detects a first state and a second state corresponding to a state detection mode, a first state icon and a second state icon associated with the detection icon, and information for identifying the subject are output. The first state icon indicates a first state related to the subject. The second state icon indicates a second state related to the subject. Explanations of parts that overlap with the first embodiment will be omitted.

[0098] The first state includes, for example, an in-bed state, a moving state, an awake state, an out-of-bed state, a staying-in-bed state, a light sleep state, a sleeping state, an awake state, and an out-of-room state.

[0099] The second condition includes, for example, whether the subject has left the room, whether the subject has a lung abnormality, whether the subject is in critical condition, whether the subject has excreted, and whether the subject has a cardiac abnormality.

[0100] In the second embodiment, the first state is described as being out of bed and in a light sleep state, but is not limited thereto. In the second embodiment, the second state is described as being whether or not the subject has an abnormality in the lungs and whether or not the subject has an abnormality in the heart, but is not limited thereto.

[0101] The control unit 24 transmits the first status ID, the second status ID, and the target person ID to the computer 1. The first status ID and the second status ID correspond to the status of the target person detected by the piezoelectric sensor 21 or the door sensor 22.

[0102] The control unit 11 receives the first condition ID, the second condition ID, and the subject ID transmitted from the detection device 2. The control unit 11 stores the first condition ID and the second condition ID in the condition determination DB 176 shown in FIG. 12 in association with the condition determination ID and the subject ID.

[0103] Fig. 12 is an explanatory diagram showing an example of the configuration of a state determination DB according to the second embodiment. Description of contents overlapping with Fig. 5 will be omitted. The state determination DB 176 includes a first state ID column and a second state ID column. The control unit 11 stores the first state ID and the second state ID transmitted from the detection device 2 in association with the subject ID in the first state ID column and the second state ID column, respectively.

[0104] 12, the control unit 11 receives D105 and D202a for the subject A. D105 is a first status ID indicating an out-of-bed status. D202a is a second status ID indicating an abnormality in the lungs.

[0105] 12, the control unit 11 receives D107 and D202b for the subject B. D107 is a first state ID indicating a light sleep state. D202b is a second state ID indicating that there is no abnormality in the lungs.

[0106] 12, the control unit 11 receives D107, as well as D202a and D205a for the subject C. D205a is a second condition ID indicating that there is an abnormality in the heart.

[0107] FIG. 13 is an explanatory diagram showing an example of the second status icon. The second status icon is stored in the second status DB 175 of the mass storage unit 17. Examples of the second status icon showing the second status "whether or not the user has left the room" include a second status icon i201 showing that the user has left the room, a second status icon i202 showing that the user has not left the room, and a second status icon i201' showing that the user has not left the room. The second status icon i201 is shown as an icon imitating an open door. The second status icon i202 is shown as an icon imitating a closed door. The second status icon i201' is shown in a lighter color than the second status icon i201.

[0108] Examples of the second status icon indicating the second status "whether or not there is an abnormality in the lungs" include a second status icon i203 indicating that there is an abnormality in the lungs, a second status icon i204 indicating that there is no abnormality in the lungs, and a second status icon i203' indicating that there is no abnormality in the lungs. The second status icon i203 is displayed as a combination of an icon imitating the lungs and an icon imitating an unwell expression. The second status icon i204 is displayed as a combination of an icon imitating the lungs and an icon imitating a well-feeling expression. The second status icon i203' is displayed in a lighter color than the second status icon i203.

[0109] Examples of the second status icon indicating the second status "whether or not the patient is in critical condition" include a second status icon i205 indicating a critical condition, a second status icon i206 indicating a healthy condition, and a second status icon i205' indicating a healthy condition. The second status icon i205 is shown as a combination of an icon imitating a triangle and an icon imitating an exclamation mark. The second status icon i206 is shown as an icon imitating a hand sign indicating consent. The second status icon i205' is shown in a lighter color than the second status icon i205.

[0110] Examples of the second status icon indicating the second status "whether or not excretion has occurred" include a second status icon i207 indicating that excretion has occurred, a second status icon i208 indicating that excretion has not occurred, and a second status icon i207' indicating that excretion has not occurred. The second status icon i207 is shown as a combination of an icon resembling a toilet and an icon resembling an exclamation mark. The second status icon i208 is shown as a combination of an icon resembling a toilet and an icon resembling a penalty mark. The second status icon i207' is shown in a lighter color than the second status icon i207.

[0111] Examples of the second status icon indicating the second status "whether or not there is an abnormality in the heart" include a second status icon i209 indicating that there is an abnormality in the heart, a second status icon i210 indicating that there is no abnormality in the heart, and a second status icon i209' indicating that there is no abnormality in the heart. The second status icon i209 is displayed as a combination of an icon imitating a heart and an icon imitating an unwell facial expression. The second status icon i210 is displayed as a combination of an icon imitating a heart and an icon imitating a well-feeling facial expression. The second status icon i209' is displayed in a lighter color than the second status icon i209.

[0112] The control unit 11 can output the second status icon i201', the second status icon i203', the second status icon i205', the second status icon i207', and the second status icon i209' to the display unit 15 as substitutes for the second status icon i202, the second status icon i204, the second status icon i206, the second status icon i208, and the second status icon i210.

[0113] Fig. 14 is an explanatory diagram showing an example of a display screen according to the second embodiment. This screen is output to the display unit 15. Explanation of parts that overlap with Fig. 9 will be omitted. On this screen, a combination of a detection icon, a first status icon, information for identifying the subject, and a second status icon is output for each subject (A, B, and C) in order from the top. Note that the order of the above-mentioned combinations can be freely changed.

[0114] The control unit 11 specifies the first state ID and the second state ID corresponding to a specific target ID in the state determination DB 176 shown in FIG. 12. The control unit 11 reads out information for identifying the target corresponding to the target ID (the target's name, the room number, the model number of the sensor, etc.) from the target DB 171. In this embodiment, the information for identifying the target is described as the target's name. The control unit 11 reads out a first state icon corresponding to the specified first state ID from the first state DB 174. The control unit 11 reads out a second state icon corresponding to the specified second state ID from the second state DB 175. The control unit 11 outputs the read out name, first state icon, and second state icon of the target to the screen. The first state icon is output to the area d11, the area d12, and the area d13. The target's name is output to the area d31, the area d32, and the area d33. The second state icon is output to the area d21, the area d22, and the area d23.

[0115] Note that the display method for the combination of the detection icon, the first status icon, the subject's name, and the second status icon is not limited to the example shown in Fig. 14. In Fig. 14, the above-mentioned combinations are arranged vertically for each subject. The above-mentioned combinations may be arranged horizontally for each subject.

[0116] A method of outputting the subject's name, the first status icon, and the second status icon for the subject A to the display unit 15 will be described. The control unit 11 specifies D105 and D202a corresponding to T00A in the status determination DB 176 shown in FIG. 12. The control unit 11 reads out the subject's name "A", the first status icon i11 for getting out of bed, and the second status icon i203 corresponding to T00A, D105, and D202a, respectively. The control unit 11 outputs the subject's name "A", the first status icon i11 for getting out of bed, and the second status icon i203 for getting out of bed that have been read out to the display unit 15. In the example of FIG. 14, the subject's name "A" is output to the area d31, the first status icon i11 for getting out of bed is output to the area d11, and the second status icon i203 is output to the area d21.

[0117] The output method of the above-mentioned combinations for the subject B will be described. The control unit 11 identifies D107 and D202b corresponding to T00B from the state determination DB 176. The control unit 11 reads out the subject's name "B", the first state icon i12 for light sleep, and the second state icon i204 corresponding to T00B, D107, and D202b, respectively. The subsequent processes are omitted because they are similar to those for the subject A. In the example of FIG. 14, the subject's name "B" is output to the area d32, the first state icon i12 for light sleep is output to the area d12, and the second state icon i204 is output to the area d22. The control unit 11 may output the second state icon i203' to the screen instead of the second state icon i204. When the detection device 2 determines that there is no abnormality in the lungs, the control unit 11 may output the second state icon i204 or the second state icon i203' to the screen.

[0118] The output method of the above-mentioned combinations for the subject C will be described. The control unit 11 identifies Z013, D107, and D202a and D205a corresponding to T00C in the state determination DB 176. The control unit 11 reads out the subject's name "C", the cardiac function detection icon i04, the first state icon i12 for light sleep, the second state icon i203, and the second state icon i209 corresponding to T00C, Z013, D107, and D202a and D205a, respectively. The subsequent processing is omitted because it is similar to that for the subject A. In the example of FIG. 14, the subject's name "C" is output to the area d33, the cardiac function detection icon i04 is output to the area d03, the first state icon i12 for light sleep is output to the area d13, and the second state icon i203 and the second state icon i209 are output to the area d23.

[0119] 15 and 16 are flowcharts showing a processing procedure according to the second embodiment. The flowcharts shown in FIG. 15 and FIG. 16 are obtained by adding steps S201 to S214 to steps S101 to S114 shown in FIG. 10 and FIG. 11. The procedures from step S101 to step S114 are similar to those in FIG. 10 and FIG. 11, and therefore will not be described. The control unit 24 reflects the setting for the state detection mode for detecting the first state and the second state in the piezoelectric sensor 21 and the door sensor 22 (step S201). The control unit 24 acquires the detection signals of the subject output from the piezoelectric sensor 21 and the door sensor 22 (step S202). The signal extraction unit 241 extracts feature signals (heartbeat signal, respiratory vibration signal, body movement signal, snoring signal, accessory noise signal, intestinal peristalsis sound signal, and opening / closing signal) from the acquired detection signals using a well-known technique such as frequency separation (step S203). The determination unit 242 inputs the extracted feature signal to the estimation model 251 to determine the state of the subject (step S204). The control unit 24 acquires a first state ID and a second state ID corresponding to the state of the subject determined by the determination unit 242 from the storage unit 25 (step S205). The control unit 24 links the first state ID and the second state ID to the subject ID (step S206). The control unit 24 transmits the subject ID, the first state ID, and the second state ID to the computer 1 (step S207).

[0120] The control unit 11 receives the subject ID, the first state ID, and the second state ID transmitted from the detection device 2 (step S208). The control unit 11 stores the first state ID and the second state ID in the state determination DB 176 in association with the state determination ID and the subject ID (step S209). The control unit 11 identifies the first state ID and the second state ID corresponding to a specific subject ID from the state determination DB 176 shown in FIG. 12 (step S210). The control unit 11 reads out the name of the subject corresponding to the subject ID from the subject DB 171 (step S211). The control unit 11 reads out the first state icon corresponding to the first state ID from the first state DB 174 (step S212). The control unit 11 reads out the second state icon corresponding to the second state ID from the second state DB 175 (step S213). The control unit 11 outputs the read-out name of the subject, the first status icon, and the second status icon on the screen (step S214).

[0121] According to the present embodiment, when a first state corresponding to the state detection mode is detected, it is possible to output a first state icon indicating the first state associated with the detection icon for each subject.

[0122] According to the present embodiment, when a second state corresponding to the state detection mode is detected, it is possible to output a second state icon indicating the second state associated with the detection icon for each subject.

[0123] According to this embodiment, it is possible to output a combination of the detection icon, the first status icon, the second status icon, and information for identifying the subject for each subject.

[0124] (Embodiment 3) Embodiment 3 relates to a form in which a combination of a first status icon and information identifying a subject is output to a first area, and for a subject for which any detection icon is set to on, the combination of the first status icon and information identifying the subject is output to a second area different from the first area.

[0125] The arbitrary condition detection mode indicates, for example, a condition detection mode corresponding to a bed exit function, a sleep function, an exit function, an excretion function, a respiratory function, a cardiac function, and an agitation function.

[0126] In the third embodiment, a subject for whom the detection icon for the agitation function is set to on will be described as an example, but the present invention is not limited to this.

[0127] FIG. 17 is an explanatory diagram showing an example of a display screen according to the third embodiment. The screen is output to the display unit 15. FIG. 17A is an explanatory diagram showing an example of a display screen that has not received an instruction to output to the second region. The screen includes a first region d100. In the first region d100, a combination of a detection icon, a first status icon, and information identifying the subject is output for each subject. Note that the description of the second status icon is omitted. In the example of FIG. 17A, the combinations related to subjects D, E, F, G, H, and I are output to the first region d100. The output method of the first region d100 is the same as that of the second embodiment.

[0128] FIG. 17B is an explanatory diagram showing an example of a display screen on which an instruction to output to the second region is executed. The screen includes a first region d100 and a second region d200. The first region d100 is the same as FIG. 17A. In the second region d200, the combinations related to the subjects for whom the detection icon i05 for the agitation function is set to ON are output for each subject. In the example of FIG. 17B, the second region d200 is output to the upper part of the first region d100, but is not limited thereto. The second region d200 is output to any region including the top, bottom, left, and right of the first region d100.

[0129] The output method of the second area d200 will be described. The control unit 11 receives an instruction to output to the second area for a subject for whom the detection icon i05 for the agitation function is set to on. The instruction to output to the second area is given via the input unit 13. The control unit 11 identifies a subject for whom the setting of the detection icon i05 for the agitation function to on has been received from the screen. In the example of FIG. 17B, subjects F, G, and I are identified. The control unit 11 outputs the combination for the identified subjects to the second area d200.

[0130] 18 is a flowchart showing a processing procedure according to the third embodiment. The control unit 11 receives an instruction to output, to the second area, a subject for whom a state detection mode corresponding to the agitation function is set to ON (step S301). The control unit 11 identifies, from the screen, a subject for whom a detection icon for the agitation function is set to ON (step S302). The control unit 11 outputs, to the second area, the combination for the identified subject (step S303).

[0131] According to this embodiment, a combination of a first status icon and information identifying a subject is output to a first area, and for a subject for whom any detection icon is set to on, the above-mentioned combination can be additionally output to a second area different from the first area.

[0132] (Embodiment 4) The fourth embodiment relates to a form in which a combination of the first status icon of two or more subjects whose arbitrary detection icon is set to ON and information identifying the subjects is output to a nearby display area. Descriptions of the same parts as the third embodiment will be omitted.

[0133] FIG. 19 is an explanatory diagram showing an example of a display screen according to the fourth embodiment. The screen is output to the display unit 15. FIG. 19A is an explanatory diagram showing an example of a display screen on which a rearrangement instruction has not been received. On the screen, a combination of a detection icon, a first status icon, and information identifying the subject is output for each subject. In addition, a search box d40 is output in the upper left of the screen. The search box d40 accepts a rearrangement instruction. In the example of FIG. 19A, the combinations related to subject D, subject E, subject F, subject G, subject H, and subject I are output on the screen.

[0134] The nearby display area is, for example, a peripheral area of ​​a search box d40 arranged on the display unit 15. The search box d40 includes a pull-down list d41 and a sorting button d42. The pull-down list d41 is used to select a state detection mode used for sorting. The state detection modes selectable in the pull-down list d41 are, for example, state detection modes set to on for two or more subjects. The control unit 11 specifies the state detection modes set to on for two or more subjects from the screen. The control unit 11 outputs the specified state detection modes to the pull-down list d41. In this embodiment, state detection modes corresponding to a sleep function, an exit function, an excretion function, a respiratory function, a cardiac function, and agitation function are output in a selectable state. Specifically, the control unit 11 specifies detection icons of the same type that are output two or more times from the screen. In the example of FIG. 19A, detection icons associated with a sleep function, an exit function, an excretion function, a respiratory function, a cardiac function, and agitation function are specified. The control unit 11 extracts the state detection mode corresponding to the identified detection icon from the state detection DB 172. The control unit 11 outputs the extracted state detection mode to the pull-down list d41 of the screen. The sorting button d42 is used to accept a process related to sorting. Specifically, when a touch operation of the sorting button d42 is accepted, the acceptance of the process related to sorting is completed.

[0135] The position of the search box d40 is not limited to the upper left of the display unit 15. The position of the search box d40 can be freely set. In the fourth embodiment, the search box d40 is described as an example, but is not limited to this. Other forms may be used as long as rearrangement can be instructed. In the fourth embodiment, the subject for whom the detection icon for the agitation function is set to on is described as an example, but is not limited to this.

[0136] FIG. 19B is an explanatory diagram showing an example of a display screen in which a rearrangement instruction has been executed. In the example of FIG. 19B, the combinations of subjects D, E, F, G, H, and I are output on the screen. A search box d40 is also output on the upper left of the screen. A state detection mode corresponding to the agitation function is selected in the pull-down list d41. The combinations of subjects F, G, and I are output together in an area near the above-mentioned search box d40, that is, in the upper part of the screen. On the other hand, the combinations of subjects D, E, and H are output together in an area not near the above-mentioned search box d40, that is, in the lower part of the screen. The detection icon i05 for the agitation function is set to ON for subjects F, G, and I. The detection icon i05 for the agitation function is set to OFF for subjects D, E, and H.

[0137] A method of sorting will be described. The control unit 11 accepts a sorting instruction for a subject for which the detection icon for the agitation function is set to ON. Specifically, the control unit 11 accepts the sorting instruction via the pull-down list d41 and the sort button d42. A state detection mode associated with the agitation function is selected via the pull-down list d41. When a touch operation of the sort button d42 is accepted, the acceptance of a sorting instruction for the state detection mode associated with the agitation function is completed. The control unit 11 identifies a subject for which the detection icon i05 for the agitation function is set to ON from the screen. In the example of FIG. 19B, subjects F, G, and I are identified. The control unit 11 outputs the combinations for the identified subjects together in an area near the above-mentioned search box d40. The control unit 11 outputs the combinations for the unidentified subjects together in an area not near the above-mentioned search box d40.

[0138] Fig. 20 is a flowchart showing a processing procedure according to the fourth embodiment. The control unit 11 receives a rearrangement instruction for subjects for whom the state detection mode corresponding to the agitation function is set to ON via the search box (step S401). The control unit 11 identifies subjects for whom the detection icon for the agitation function is set to ON from the screen (step S402). The control unit 11 outputs the combinations related to the identified subjects together in an area near the search box (step S403). The control unit 11 outputs the combinations related to subjects not identified together in an area not near the search box (step S404).

[0139] According to this embodiment, it is possible to output a combination of the first status icons of two or more subjects, each of which has any detection icon set to on, and information identifying the subject, in a nearby display area.

[0140] (Embodiment 5) In the fifth embodiment, an example will be described in which the monitoring system outputs an icon corresponding to a condition detection mode in which the condition of the subject is photographed by a camera, and an image of the subject's condition.

[0141] 21 is an explanatory diagram showing an overview of a monitoring system according to embodiment 5. The monitoring system includes a camera 3. The camera 3 is provided corresponding to the detection device 2, and captures an image of the subject's condition. The camera 3 is placed in a position where it can capture an image of the subject's condition (for example, diagonally above the subject's bed), and is connected to the computer 1 so as to be able to communicate with the computer 1.

[0142] FIG. 22 is a block diagram showing a configuration example of the camera. The camera 3 includes a control unit 31, a storage unit 32, a communication unit 33, and an imaging unit 34. The control unit 31 includes one or more processors such as a CPU, an MPU, or a GPU. The control unit 31 may be configured by combining a DSP or an FPGA. The storage unit 32 includes a memory element such as a RAM or a ROM. The storage unit 32 stores a control program 3P or data required for the processing of the control unit 31. The storage unit 32 temporarily stores data required for the arithmetic processing of the control unit 31. The control unit 31 reads and executes the control program 3P (program product) to perform processing such as imaging the state of the subject. The communication unit 33 is a communication module for transmitting and receiving information to and from the computer 1. The imaging unit 34 includes an imaging element such as an infrared sensor, a CCD (Charge-Coupled Device) sensor, or a CMOS (Complementary Metal Oxide Semiconductor) sensor, and images the state of the subject.

[0143] FIG. 23 is an explanatory diagram showing an example of a record layout of a status detection DB according to the fifth embodiment. Types of status detection modes include a photographing function. The photographing function photographs the subject's status using the camera 3. In FIG. 23, a record related to the photographing function is added, including a status detection ID "Z015", a detection item "photography function", and a detection icon "***". The status detection ID "Z015" uniquely identifies the record related to the photographing function. The detection icon column "***" corresponding to "Z015" stores an icon corresponding to the status detection mode associated with the photographing function (hereinafter, referred to as the detection icon for the photographing function).

[0144] Fig. 24 is an explanatory diagram showing a configuration example of a state determination DB according to the fifth embodiment. In the example of Fig. 24, Z001 and Z015 are stored in the on-state detection mode column of the subject A. That is, the control unit 11 accepts the on-setting of the information detection mode corresponding to the bed exit function and the photographing function for the subject A. In the example of Fig. 24, Z001, Z002, and Z015 are stored in the on-state detection mode column of the subject B. That is, the control unit 11 accepts the on-setting of the information detection mode corresponding to the bed exit function, the sleep function, and the photographing function for the subject B.

[0145] The processing of the monitoring system of the fifth embodiment will be described. A user of the monitoring system inputs a target person ID via the input unit 13. The control unit 11 acquires the target person ID input by the user. The control unit 11 displays a screen on the display unit 15 for accepting a setting of the status detection mode to be on or off.

[0146] FIG. 25 is an explanatory diagram showing an example of a screen for accepting an on or off setting of a status detection mode according to the fifth embodiment. The screen shown in FIG. 25 includes an image capture function setting button 11h. The image capture function setting button 11h is a button for accepting an on or off setting of a status detection mode corresponding to an image capture function. The screen shown in FIG. 25 accepts an on or off setting of a status detection mode for subject A (T00A). In the screen shown in FIG. 25, the status detection mode corresponding to the bed exit function and the image capture function is set to on.

[0147] The control unit 11 refers to the status detection DB 172 and acquires the status detection ID of the status detection mode that has been set to ON. Specifically, the control unit 11 acquires, for the subject A, the status detection ID "Z001" of the status detection mode corresponding to the bed exit function and the status detection ID "Z015" of the status detection mode corresponding to the photographing function. The control unit 11 generates a status determination ID. The control unit 11 stores the subject ID and the status detection ID in the status determination DB 176 in association with the status determination ID. The control unit 11 reads out the detection icon associated with the status detection ID from the status detection DB 172. The control unit 11 judges whether or not the reading of the detection icon has been completed for all subjects. If the control unit 11 has not judged that the reading of the detection icon has been completed for all subjects, it repeats the above-mentioned process. If the control unit 11 judges that the reading of the detection icon has been completed for all subjects, it displays a display screen including the read detection icon on the display unit 15 for each subject.

[0148] Fig. 26 is an explanatory diagram showing an example of a display screen according to the fifth embodiment. On the screen shown in Fig. 26, a combination of a detection icon, a first status icon, and information for identifying a subject is displayed for each subject (A and B). In the area d01, a detection icon i01 for the bed exit function and a detection icon i06 for the image capturing function are displayed from the left. In the area d02, a detection icon i01 for the bed exit function, a detection icon i02 for the sleep function, and a detection icon i06 for the image capturing function are displayed from the left.

[0149] The control unit 11 determines whether or not the selection of the detection icon i06 for the photographing function has been accepted via the input unit 13. When the control unit 11 determines that the selection of the detection icon i06 for the photographing function has not been accepted, the control unit 11 continues to display the display screen shown in Fig. 26. When the control unit 11 determines that the selection of the detection icon i06 for the photographing function has been accepted, the control unit 11 transmits an instruction to the camera 3 to photograph the state of the subject (hereinafter, referred to as a photographing instruction).

[0150] The control unit 31 receives an image capture instruction sent from the computer 1. The control unit 31 acquires an image capturing the state of the subject using the imaging unit 34. The control unit 31 transmits the acquired image to the computer 1 immediately or at a predetermined time interval (e.g., 10 seconds).

[0151] The control unit 11 receives the image transmitted from the camera 3. The control unit 11 displays a screen including the received image on the display unit 15. FIG. 27 is an explanatory diagram showing an example of a screen including an image of the subject's condition. The screen d6 shown in FIG. 27 includes a subject column d61 and an image column d62. The subject column d61 displays the name of the subject selected by the user. The subject column d61 of FIG. 27 displays "A". The content displayed in the subject column d61 is read from the subject DB 171. The image column d62 displays an image of the subject's condition. The image column d62 of FIG. 27 displays an image of the subject A's condition. The screen d6 may include the date and time when the subject A's condition was photographed. The subject A's condition (getting out of bed) displayed in the image column d62 of FIG. 27 matches the first status icon i11 for getting out of bed displayed in the area d11 of FIG. 26.

[0152] 28 and 29 are flowcharts showing a processing procedure according to the fifth embodiment. The control unit 11 acquires a subject ID input via the input unit 13 (step S501). The control unit 11 displays a screen for accepting an on or off setting of the state detection mode on the display unit 15 (step S502). The control unit 11 refers to the state detection DB 172 and acquires a state detection ID of the state detection mode for which an on setting has been accepted (step S503). The control unit 11 generates a state determination ID (step S504). The control unit 11 stores the subject ID and the state detection ID in the state determination DB 176 in association with the state determination ID (step S505). The control unit 11 reads out a detection icon associated with the state detection ID from the state detection DB 172 (step S506). The control unit 11 judges whether or not the reading of the detection icons has been completed for all subjects (step S507). When the control unit 11 determines that the readout of the detection icons for all the subjects has not been completed (step S507: NO), the control unit 11 returns the process to step S501. When the control unit 11 determines that the readout of the detection icons for all the subjects has been completed (step S507: YES), the control unit 11 displays a display screen including the readout detection icons for each subject on the display unit 15 (step S508). The control unit 11 determines whether or not the selection of the detection icon for the photographing function has been accepted (step S509). When the control unit 11 determines that the selection of the detection icon for the photographing function has not been accepted (step S509: NO), the control unit 11 returns the process to step S508. When the control unit 11 determines that the selection of the detection icon for the photographing function has been accepted (step S509: YES), the control unit 11 transmits a photographing instruction to the camera 3 (step S510).

[0153] The control unit 31 receives the image capturing instruction transmitted from the computer 1 (step S511). The control unit 31 acquires an image capturing the state of the subject using the imaging unit 34 (step S512). The control unit 31 transmits the acquired image to the computer 1 immediately or at predetermined time intervals (step S513).

[0154] The control unit 11 receives the image transmitted from the camera 3 (step S514). The control unit 11 displays a screen including the received image on the display unit 15 (step S515).

[0155] In the fifth embodiment, the computer 1 accepts the on or off setting for a plurality of status detection modes for each subject, but this is not limited thereto. An example may be applied in which the status detection mode to be activated among the plurality of status detection modes is specified for each subject based on the type of sensor, etc. Even in this case, the control unit 11 can accept the on or off setting for the status detection mode corresponding to the photographing function for each subject, regardless of the type of sensor, etc. For example, in FIG. 8, the status detection modes other than the status detection modes to be activated (for example, the bed exit function and the sleep function) are output in light characters, and the on or off setting cannot be accepted. On the other hand, the status detection mode corresponding to the photographing function is output in bold characters, regardless of the type of sensor, etc., and the on or off setting can be accepted.

[0156] In this embodiment, an example in which the camera 3 and the computer 1 are communicatively connected will be described, but the present invention is not limited to this. The camera 3 may also be communicatively connected to a terminal device (not shown) owned by a user of the monitoring system. The processing in this case will be described. When the camera 3 receives a shooting instruction, it shoots an image of the subject's condition. The camera 3 transmits the captured image directly to the terminal device without going through the computer 1. The terminal device receives the image transmitted from the camera 3. The terminal device can display the received image on the display unit of the terminal device. When the computer 1 is an external server, the monitoring system can protect the privacy of the subject by directly transmitting the image captured by the camera 3 to the terminal device. The user of the monitoring system can check the image of the subject's condition on his or her own terminal device.

[0157] From the fifth embodiment, the monitoring system can obtain an on or off setting for the status detection mode corresponding to the photographing function for each subject, and output a detection icon for the set photographing function for each subject.

[0158] From the fifth embodiment, when the monitoring system receives a setting for turning on the condition detection mode corresponding to the photographing function and receives a selection of the detection icon for the photographing function, it can output an image capturing the condition of the subject.

[0159] According to the fifth embodiment, the user of the monitoring system can check the state of the subject indicated by the first status icon and the actual state of the subject.

[0160] (Embodiment 6) In the sixth embodiment, an example will be described in which, when the monitoring system accepts the selection of a detection icon or the like, an image capturing the state of a subject is output. The control unit 11 judges whether or not the selection of the detection icon, the first status icon, or the information identifying the subject displayed on the display screen of FIG. 26 has been accepted via the input unit 13. When the control unit 11 judges that the selection of the detection icon, the first status icon, or the information identifying the subject has not been accepted, the control unit 11 continues to display the display screen of FIG. 26. When the control unit 11 judges that the selection of the detection icon, the first status icon, or the information identifying the subject has been accepted, the control unit 11 displays a screen for confirming the state of the subject (hereinafter, referred to as a confirmation screen).

[0161] FIG. 30 is an explanatory diagram showing an example of a confirmation screen. The confirmation screen d7 shown in FIG. 30 includes a room number field d71, a name field d72, a message field d73, a completion button b74, and an icon b75 for instructing the camera 3 to take a picture (hereinafter, described as a camera icon b75). The room number field d71 displays the room number in which the subject is present. The room number field d71 in FIG. 30 displays "Room 101". The name field d72 displays the name of the subject. The name field d72 in FIG. 30 displays "A". The contents to be displayed in the room number field d71 and the name field d72 are read from the subject DB 171. The message field d73 displays a message for the user. The message field d73 in FIG. 30 displays "Have you checked the subject's condition?". The completion button b74 is, for example, a button for ending the display of the confirmation screen.

[0162] The control unit 11 determines whether or not the selection of the camera icon b75 has been accepted. If the control unit 11 determines that the selection of the camera icon b75 has not been accepted, it determines whether or not the selection of the Complete button b74 has been accepted. If the control unit 11 determines that the selection of the Complete button b74 has not been accepted, it continues to display the confirmation screen d7. If the control unit 11 determines that the selection of the Complete button b74 has been accepted, it displays the display screen of FIG. 26. If the control unit 11 determines that the selection of the camera icon b75 has been accepted, it transmits a shooting instruction to the camera 3. The subsequent processing is similar to that of the fifth embodiment, and therefore a description thereof will be omitted.

[0163] FIG. 31 is a flowchart showing a processing procedure according to the sixth embodiment. In the flowchart of FIG. 31, step S509 in the fifth embodiment is replaced with steps S601 to S604. Explanation of steps similar to those in the fifth embodiment will be omitted. The control unit 11 judges whether or not a selection of the detection icon, the first status icon, or the information identifying the target person displayed on the display screen has been accepted via the input unit 13 (step S601). When the control unit 11 judges that a selection of the detection icon, the first status icon, or the information identifying the target person has not been accepted (step S601: NO), the control unit 11 returns the process to step S508. When the control unit 11 judges that a selection of the detection icon, the first status icon, or the information identifying the target person has been accepted (step S601: YES), the control unit 11 displays a confirmation screen (step S602). The control unit 11 judges whether or not a selection of the camera icon has been accepted (step S603). If the control unit 11 determines that the selection of the camera icon has not been accepted (step S603: NO), it determines whether or not the selection of the Complete button has been accepted (step S604). If the control unit 11 determines that the selection of the Complete button has not been accepted (step S604: NO), it returns the process to step S602. If the control unit 11 determines that the selection of the Complete button has been accepted (step S604: YES), it returns the process to step S508. If the control unit 11 determines that the selection of the camera icon has been accepted (step S603: YES), it advances the process to step S510.

[0164] According to embodiment 6, when the monitoring system receives a selection of a detection icon, a first status icon, or information identifying the subject, it outputs a confirmation screen, and when it receives a selection of a camera icon included in the output confirmation screen, it can output an image capturing the subject's condition.

[0165] The embodiments disclosed herein are illustrative in all respects and should not be considered as limiting. The scope of the present invention is defined by the claims, not by the above meaning, and is intended to include all modifications within the scope and meaning equivalent to the claims.

[0166] The matters described in each embodiment may be combined with each other. In addition, the independent claims and dependent claims described in the claims may be combined with each other in any and all combinations regardless of the citation format. Furthermore, the claims use a format in which a claim cites two or more other claims (multiple claim format), but this is not limited to this. The claims may also be written in a format in which a multiple claim cites at least one other multiple claim (multi-multi claim). [Explanation of symbols]

[0167] 1: Information processing device (computer) 11: Control section 12: Storage section 13: Input section 14: Communications Department 15:Display section 16: Reading unit 17: Mass storage 171: Target DB 172: Status detection DB 173: Sensor information DB 174: First state DB 175: Second state DB 176: Status determination DB 1a: Portable storage medium 1b: Semiconductor memory 1P: Control program 2:Detection device 21: Piezoelectric sensor 22: Door sensor 23: Communications Department 24: Control section 25: Storage section 241: Signal extraction unit 242: Judgment section 251: Estimation model 3: Camera 31: Control section 32: Storage section 33: Communications Department 34: Imaging section 3P: Control program 11a: Bed exit function setting button 11b: Sleep function setting button 11c: Exit function setting button 11d: Ventilator function setting button 11e: Disturbance function setting button 11f: Excretion function setting button 11g: Cardiac function setting button i01: Detection icon for bed exit function i02: Sleep function detection icon i03: Detection icon for respiratory function i04: Heart function detection icon i05: Detection icon for disturbance function i06: Detection icon for shooting function i11: First status icon for bed exit i12: First status icon for light sleep i201: Second status icon indicating you have left the room i201': Second status icon indicating you have not left the room i202: Second status icon indicating you have not left the room i203: Secondary status icon indicating lung abnormality i203': Second status icon indicating no lung abnormalities i204: Secondary status icon indicating no lung abnormalities i205: Secondary status icon indicating critical condition i205': Secondary status icon indicating a healthy state i206: Secondary status icon indicating a healthy state i207: Second status icon indicating excretion i207': Second status icon indicating no urination i208: Second status icon indicating not defecating i209: Secondary status icon indicating a heart condition i209': Second status icon indicating no cardiac abnormalities i210: Secondary status icon indicating no cardiac abnormalities d100: 1st area d200: 2nd area b75: Camera icon (icon for instructing camera 3 to take a picture)

Claims

1. acquiring settings for a plurality of state detection modes for each subject based on data obtained from the sensor; An icon corresponding to the set status detection mode is output for each of the subjects. A program that causes a computer to carry out processing.

2. Identifying, for each subject, a status detection mode to be activated among a plurality of status detection modes based on data obtained from the sensor or the type of the sensor; An icon corresponding to the identified state detection mode is output for each of the subjects. A program that causes a computer to carry out processing.

3. Outputs an image to turn the setting on or off for each of multiple status detection modes 3. The program according to claim 1 or 2.

4. Identifying a status detection mode to be activated from among the plurality of status detection modes based on data obtained from the sensor or the type of the sensor; Does not accept on or off settings for state detection modes that are not specified as active 3. The program according to claim 1 or 2.

5. For each status detection mode identified as active, output an image to turn the setting on or off The program according to claim 4.

6. Acquire, for each of the subjects, a setting for a state detection mode that detects whether a door is opened or closed based on data obtained from a door sensor; An icon corresponding to a state detection mode for detecting the opening and closing of the set door is output for each of the subjects.

3. The program according to claim 1 or 2.

7. When the state detection mode is set to ON and a first state corresponding to the state detection mode is detected, a first state icon indicating the first state associated with an icon corresponding to the state detection mode is output.

3. The program according to claim 1 or 2, which causes a computer to execute the process.

8. A combination of an icon corresponding to the status detection mode, the first status icon, and information identifying the subject is output for each of the subjects. The program according to claim 7, which causes a computer to execute the process.

9. When the setting of the status detection mode to be on is accepted and a second status corresponding to the status detection mode is detected, an icon corresponding to the status detection mode, the first status icon, and a second status icon indicating the second status associated with the icon corresponding to the status detection mode are output. The program according to claim 7, which causes a computer to execute the process.

10. The first state icon includes icons indicating the subject's movement on the bed, the subject's light sleep state, the subject's sleep state other than the light sleep state, and the subject's wakefulness state. The program according to claim 7.

11. The second status icon includes icons indicating whether the subject has excreted or not, whether the subject is in critical condition or not, whether the subject has a lung abnormality or not, and whether the subject has a heart abnormality or not. The program according to claim 9.

12. outputting a combination of the first status icon and information identifying the subject in a first area; The combination of the subjects for which an icon corresponding to any one of the state detection modes is set to ON is output to a second area different from the first area. The program according to claim 7.

13. A combination of the first status icon of two or more subjects for which an icon corresponding to any one of the status detection modes is set to on and information identifying the subjects is output to a nearby display area. The program according to claim 7.

14. Acquire, for each of the subjects, a setting for a state detection mode in which a camera captures an image of the state of the subject; An icon corresponding to a state detection mode for photographing the state of the subject set is output for each of the subjects.

3. The program according to claim 1 or 2.

15. When a setting of a status detection mode for photographing the status of the subject is accepted and a selection of an icon corresponding to the status detection mode for photographing the status of the subject is accepted, an image of the status of the subject is output. The program according to claim 14.

16. When a selection of the icon corresponding to the status detection mode, the first status icon, or information identifying the subject is received, a screen for confirming the status of the subject is output; When the selection of an icon for instructing a camera included in the screen to take a picture is accepted, an image of the subject's condition is output. The program according to claim 8.

17. acquiring settings for a plurality of state detection modes for each subject based on data obtained from the sensor; An icon corresponding to the set status detection mode is output for each of the subjects. Information processing methods.

18. Identifying, for each subject, a status detection mode to be activated among a plurality of status detection modes based on data obtained from the sensor or the type of the sensor; An icon corresponding to the identified state detection mode is output for each of the subjects. Information processing methods.

19. An information processing device including a control unit, The control unit is acquiring settings for a plurality of state detection modes for each subject based on data obtained from the sensor; An icon corresponding to the set status detection mode is output for each of the subjects. Information processing device.

20. An information processing device including a control unit, The control unit is Identifying, for each subject, a status detection mode to be activated among a plurality of status detection modes based on data obtained from the sensor or the type of the sensor; An icon corresponding to the identified state detection mode is output for each of the subjects. Information processing device.

Citation Information

Patent Citations

  • JP186940A