阅读说明：本技术 估计系统及认知功能评估系统 (Estimation system and cognitive function evaluation system ) 是由 阿部贤吾 西山高史 中岛博文 于 2019-02-26 设计创作，主要内容包括：估计系统(200)具备：第一传感器(210),其检测对象者在室内的活动量即第一活动量；第二传感器(211),其检测对象者在位于室内的床(B)上的活动量即第二活动量；以及估计装置(100),其基于第一传感器(210)检测到的第一活动量、及第二传感器(211)检测到的第二活动量,来估计与室内关联的位置中的对象者的位置及行动中的至少一方,并输出所估计出的估计结果。另外,第一传感器(210)及第二传感器(211)为2维图像传感器以外的传感器。(An estimation system (200) is provided with: a first sensor (210) that detects a first activity amount, which is the amount of activity of the subject person in the room; a second sensor (211) that detects a second activity amount, which is the activity amount of the subject person on a bed (B) located indoors; and an estimation device (100) that estimates at least one of the position and the motion of the subject person at a position associated with the room, based on the first activity amount detected by the first sensor (210) and the second activity amount detected by the second sensor (211), and outputs the estimated estimation result. The first sensor (210) and the second sensor (211) are sensors other than 2-dimensional image sensors.)

1. An estimation system is provided with:

a first sensor that detects a first activity amount that is an activity amount of a subject person in a room;

a second sensor that detects a second activity amount that is an activity amount of the subject person on a bed located in the room; and

an estimation device that estimates at least one of a position and an action of the subject person in a position related to the room based on the first activity amount detected by the first sensor and the second activity amount detected by the second sensor, and outputs an estimated estimation result,

wherein the first sensor and the second sensor are sensors other than 2-dimensional image sensors.

2. The estimation system according to claim 1,

the first sensor and the second sensor are electric wave sensors.

3. The estimation system according to claim 2,

the estimation device estimates, based on a first radio wave intensity detected as the first activity amount by the first sensor and a second radio wave intensity detected as the second activity amount by the second sensor, which of the following states the subject is in:

(i) not within the chamber;

(ii) on the bed;

(iii) (ii) outside of said bed in said chamber; or

(iv) Characteristic actions including a bed exit action from the bed and a bed entry action to the bed are being performed.

4. The estimation system according to claim 3,

the estimation device estimates that the subject person is not present in the room when (i) the first radio wave intensity is smaller than a first threshold value and the second radio wave intensity is smaller than a second threshold value,

the estimation device estimates that the subject person is in the room other than the bed when (ii) the first radio wave intensity is equal to or higher than the first threshold and the second radio wave intensity is lower than the second threshold,

(ii) the estimation device estimates that the subject person is on the bed when (iii) the first radio wave intensity is smaller than the first threshold value and the second radio wave intensity is equal to or greater than the second threshold value,

the estimation device estimates that the subject person is performing the characteristic operation when (iv) the first radio wave intensity is equal to or higher than the first threshold value and the second radio wave intensity is equal to or higher than the second threshold value.

5. A cognitive function assessment system is provided with:

the estimation device according to any one of claims 1 to 4; and

a cognitive function assessment device is provided with: an estimation result acquisition unit that acquires the estimation result estimated by the estimation device; a calculation unit that calculates a stay time of the subject person at the position and an action time of the subject person based on the estimation result acquired by the estimation result acquisition unit, and calculates a feature amount based on the calculated stay time and action time; an evaluation unit that evaluates a cognitive function of the subject person based on the feature amount calculated by the calculation unit; and an evaluation result output unit that outputs the evaluation result evaluated by the evaluation unit.

6. The cognitive function assessment system according to claim 5,

the calculation unit calculates, as the feature amount, a ratio of a time during which the subject person is stationary on the bed to a time during which the subject person is in the room.

7. The cognitive function assessment system according to claim 5,

the calculation unit calculates, as the feature amount, a time when the subject person is not present in the room.

8. The cognitive function assessment system according to any one of claims 5 to 7,

further comprising a storage unit for storing reference data indicating a relationship between the feature amount of the person and the cognitive function of the person,

the evaluation unit evaluates the cognitive function of the subject by comparing the feature amount of the subject calculated by the calculation unit with the reference data.

9. The cognitive function assessment system according to any one of claims 5 to 8,

further, the evaluation device is provided with a notification device that notifies the evaluation result output from the evaluation result output unit.

Technical Field

The present invention relates to an estimation system that estimates at least one of a position and a movement of a subject person, and a cognitive function evaluation system that evaluates a cognitive function of the subject person based on an estimation result estimated by the estimation system.

Background

There is known an apparatus for detecting an operation and a state of a person in a predetermined space, such as entering or moving in a room, using an infrared sensor, a microwave, or the like.

Patent document 1 discloses the following technique: in order to estimate the motion and state of a person, an SVM (Support vector machine) is used to classify whether the person is indoors, moving indoors, or stationary.

Disclosure of Invention

Problems to be solved by the invention

However, in the technique disclosed in patent document 1, although it is possible to classify whether a person is indoors, moving indoors, or stationary, it is impossible to estimate a location indoors and how much movement is being performed indoors.

In addition, although the behavior of the subject person can be estimated by capturing an image of the subject person using an imaging device such as a camera and analyzing the image generated by capturing, it may be difficult to use capturing from the viewpoint of privacy.

The invention provides an estimation system and the like capable of estimating the position and the action of a target person with high precision without shooting.

Means for solving the problems

An estimation system according to an aspect of the present invention includes: a first sensor that detects a first activity amount that is an activity amount of a subject person in a room; a second sensor that detects a second activity amount that is an activity amount of the subject person on a bed located in the room; and an estimation device that estimates at least one of a position and an action of the subject person in a position related to the room based on the first activity amount detected by the first sensor and the second activity amount detected by the second sensor, and outputs an estimated estimation result, wherein the first sensor and the second sensor are sensors other than 2-dimensional image sensors.

In addition, a cognitive function evaluation system according to an aspect of the present invention includes the estimation device and a cognitive function evaluation device, and the cognitive function evaluation device includes: an estimation result acquisition unit that acquires the estimation result estimated by the estimation device; a calculation unit that calculates a stay time of the subject person at the position and an action time of the subject person based on the estimation result acquired by the estimation result acquisition unit, and calculates a feature amount based on the calculated stay time and action time; an evaluation unit that evaluates a cognitive function of the subject person based on the feature amount calculated by the calculation unit; and an evaluation result output unit that outputs the evaluation result evaluated by the evaluation unit.

The inclusion or the specific embodiments may be realized by a system, a method, an integrated circuit, a computer program, or a computer-readable recording medium such as a CD-ROM, or any combination of the system, the method, the integrated circuit, the computer program, and the recording medium.

ADVANTAGEOUS EFFECTS OF INVENTION

According to the estimation system according to one aspect of the present invention, the position and the behavior of the subject person can be accurately estimated without performing imaging.

Drawings

Fig. 1 is a diagram illustrating a configuration of an estimation system according to embodiment 1.

Fig. 2 is a block diagram showing a characteristic functional configuration of the estimation system according to embodiment 1.

Fig. 3 is a flowchart showing a procedure in which the estimation system according to embodiment 1 estimates the position and action of the subject person.

Fig. 4 is a diagram showing an example of changes in the intensity of radio waves detected by the first sensor and the second sensor.

Fig. 5A is a graph obtained by plotting the intensities of radio waves detected by the first sensor and the second sensor with respect to a predetermined action of the subject person.

Fig. 5B is a diagram showing a table for explaining the definition of the plot shown in fig. 5A.

Fig. 6 is a diagram for explaining the threshold values used when the estimation system of embodiment 1 estimates the position and behavior of the subject person.

Fig. 7 is a block diagram showing a characteristic functional configuration of the cognitive function assessment system according to embodiment 2.

Fig. 8 is a flowchart showing a procedure in which the cognitive function assessment system according to embodiment 2 performs cognitive function assessment of a subject.

Fig. 9A is a diagram of a table showing the position and the action ratio of the subject person and the degree of cognitive function.

Fig. 9B is a diagram showing an example of the degree of cognitive function with respect to the position and the action ratio of the target person.

Fig. 9C is a diagram showing another example of the degree of cognitive function relative to the position and the action ratio of the target person.

Detailed Description

Embodiments of the present invention will be described below with reference to the drawings. The embodiments described below are all illustrative or specific examples. The numerical values, shapes, materials, constituent elements, arrangement positions and connection modes of the constituent elements, steps, order of the steps, and the like shown in the following embodiments are examples, and the present invention is not limited thereto. Among the components of the following embodiments, components not recited in the independent claims representing the uppermost concept will be described as arbitrary components.

The drawings are schematic and not necessarily strictly illustrated. In the drawings, substantially the same components are denoted by the same reference numerals, and redundant description may be omitted or simplified.

In the following description, the terms "above a threshold value" and "below a threshold value" may be used, but are not strictly described. For example, when "not less than the threshold value" is described, the case larger than the threshold value may be also referred to. In addition, when "more than or equal to the threshold value" and "less than the threshold value" are described in contrast, the case where the reference value is used as a boundary to distinguish the reference value from each other may be also referred to as "more than the threshold value" and "less than or equal to the threshold value", respectively.

(embodiment mode 1)

[ Structure of estimation System ]

First, the configuration of the estimation system according to embodiment 1 will be described with reference to fig. 1 and 2.

Fig. 1 is a diagram showing a configuration of an estimation system 200 according to embodiment 1.

The estimation system 200 is a device that detects the activity amount of a subject person in the room R to estimate the position and the action of the subject person. Specifically, the estimation system 200 accurately estimates the position and the action of the subject based on the amount of activity of the subject in the entire room R (in other words, the room) and the amount of activity of the subject on the bed B installed in the room. The estimation system 200 is an apparatus for estimating the behavior of a cared person who needs to be cared, such as an elderly person, in a room R where the cared person lives.

The estimation system 200 includes a first sensor 210, a second sensor 211, an estimation device 100, and a notification device 220.

The first sensor 210 is a sensor that detects the amount of activity of the subject person in the entire room. The first sensor 210 is, for example, a doppler wave sensor, an infrared sensor, or the like. When the first sensor 210 is an electric wave sensor, the first sensor 210 detects the electric wave intensity as the first activity amount. In addition, the first sensor 210 is a sensor other than a 2-dimensional image sensor such as a CCD (Charge Coupled Device) or a CMOS (Complementary Metal Oxide Semiconductor) provided in an imaging Device such as a camera for generating an image, from the viewpoint of protecting the privacy of the subject. The first sensor 210 detects a first activity amount, which is an activity amount of the subject person in the room, and transmits the detected first activity amount to the estimation device 100.

The second sensor 211 is a sensor for detecting the amount of activity of the subject person on the bed B. The second sensor 211 is, for example, a doppler type radio wave sensor or an infrared sensor using a radio wave of about 24 GHz. Fig. 1 shows a radio wave sensor as the second sensor 211, which is formed in a sheet shape and is disposed on the bed B. When the second sensor 211 is an electric wave sensor, the second sensor 211 detects the electric wave intensity as the second activity amount. In addition, the second sensor 211 is a sensor other than a 2-dimensional image sensor such as a CCD or a CMOS included in an imaging device such as a camera that generates an image, from the viewpoint of protecting the privacy rights of the subject person. The second sensor 211 detects a second activity amount, which is an activity amount of the subject person on the bed B located indoors, and transmits the detected second activity amount to the estimation device 100.

The estimation apparatus 100 is an apparatus as follows: based on the first activity amount detected by the first sensor 210 and the second activity amount detected by the second sensor 211, at least one of the position and the motion of the subject person at the position associated with the room is estimated, and the estimated estimation result is output. The estimation device 100 outputs the estimated estimation result to the notification device 220 as information such as sound information and image information. The estimation device 100 is, for example, a personal computer, but may be a server device.

The notification device 220 is a device as follows: the estimation result output by the estimation device 100 is acquired, and the acquired estimation result is notified to a caregiver of the subject, a doctor attending the subject, and the like. Specifically, the notification device 220 outputs a sound, an image, and the like based on information such as sound information and image information indicated by the acquired estimation result. The notification device 220 may be any device capable of outputting sound, images, and the like, and may be, for example, a speaker, an amplifier, a display, and the like.

The first sensor 210 is provided, for example, at a position where the activity amount of the subject person can be measured in the entire room R, and the second sensor 211 is provided, for example, at a position where the activity amount of the subject person can be measured on the bed B. The estimation device 100 may be installed in the room R or in a living room where a caregiver lives, moves, or the like. The notification device 220 is installed in, for example, a living room where a caregiver lives, moves, or the like.

Fig. 2 is a block diagram showing a characteristic functional configuration of an estimation system 200 according to embodiment 1.

As described above, the estimation system 200 includes the first sensor 210, the second sensor 211, the estimation device 100, and the notification device 220. The estimation device 100 functionally includes an activity amount acquisition unit 110, an estimation unit 120, an estimation result output unit 130, and a threshold storage unit 140.

The activity amount obtaining unit 110 is communicably connected to the first sensor 210 and the second sensor 211, and obtains a first activity amount from the first sensor 210 and a second activity amount from the second sensor 211. The activity amount acquisition unit 110 is a communication interface such as an adapter or a communication circuit for performing wired or wireless communication, for example. The activity amount acquisition unit 110 may include a plurality of communication interfaces to communicate with the first sensor 210 and the second sensor 211, respectively.

The estimation unit 120 estimates at least one of the position and the motion of the subject person at the position related to the room based on the first activity amount and the second activity amount acquired by the activity amount acquisition unit 110. Specifically, when the first sensor 210 and the second sensor 211 are radio wave sensors, the estimation unit 120 estimates, based on a first radio wave intensity indicating a radio wave intensity obtained by the activity amount acquisition unit 110 and detected as the first activity amount by the first sensor 210, and a second radio wave intensity indicating a radio wave intensity obtained by the activity amount acquisition unit 110 and detected as the second activity amount by the second sensor 211, which is the target person, whether the target person is (i) out of the room (i.e., outside the room R (in other words, outdoors)), (ii) on the bed B, (iii) in a room other than on the bed B, or (iv) performing a characteristic operation including a leaving operation from the bed B and a getting-on operation to the bed B. More specifically, the estimation unit 120 estimates that the subject person is not indoors when (i) the first radio wave intensity is smaller than the first threshold value and the second radio wave intensity is smaller than the second threshold value; (ii) estimating that the subject person is in a room other than on the bed B when the first radio wave intensity is equal to or higher than the first threshold value and the second radio wave intensity is lower than the second threshold value; (iii) estimating that the subject is on the bed B when the first radio wave intensity is smaller than the first threshold value and the second radio wave intensity is equal to or greater than the second threshold value; (iv) when the first radio wave intensity is equal to or higher than the first threshold value and the second radio wave intensity is equal to or higher than the second threshold value, it is estimated that the subject person is performing the characteristic operation. The first threshold and the second threshold are constants predetermined in accordance with radio wave detection accuracy of the first sensor 210 and the second sensor 211, and are stored in the threshold storage unit 140 as threshold data 141, for example.

The estimation Unit 120 is realized by software, for example, by a control program stored in the threshold storage Unit 140 together with the threshold data 141, and a CPU (Central Processing Unit) that executes the control program. The estimation unit 120 may be implemented in hardware by a dedicated circuit or the like.

The estimation result output unit 130 outputs the estimation result estimated by the estimation unit 120. In embodiment 1, the estimation result output unit 130 outputs the estimation result estimated by the estimation unit 120 to the notification device 220. The estimation result output unit 130 is a communication interface such as an adapter or a communication circuit for performing wired or wireless communication, for example.

The threshold storage unit 140 is a memory that stores threshold data 141 for the estimation unit 120 to estimate at least one of the position and the motion of the subject person. The threshold storage unit 140 is a Memory such as a ROM (Read Only Memory) or a RAM (Random Access Memory), and is configured by an HDD (Hard Disk Drive) or a flash Memory.

[ processing order of estimation System ]

Next, a method of estimating the position and the action of the subject executed by the estimation system 200 according to embodiment 1 will be described in detail with reference to fig. 3.

In the following, a case where the first sensor 210 and the second sensor 211 are electric wave sensors will be described.

Fig. 3 is a flowchart showing a procedure in which the estimation system 200 according to embodiment 1 estimates at least one of the position and the motion of the subject person.

First, the activity amount obtaining unit 110 obtains a first radio wave intensity indicating a first activity amount of the object detected by the first sensor 210 (step S101).

Next, the estimation unit 120 determines whether or not the first radio wave intensity acquired by the activity amount acquisition unit 110 is equal to or greater than a first threshold indicated by the threshold data 141 (step S102).

When the estimation unit 120 determines that the first radio wave intensity acquired by the activity amount acquisition unit 110 is equal to or greater than the first threshold indicated by the threshold data 141 (yes at step S102), the activity amount acquisition unit 110 acquires a second radio wave intensity indicating a second activity amount of the subject person detected by the second sensor 211 (step S103).

Next, the estimation unit 120 determines whether or not the second radio wave intensity acquired by the activity amount acquisition unit 110 is equal to or greater than a second threshold indicated by the threshold data 141 (step S104).

When determining that the second radio wave intensity acquired by the activity amount acquisition unit 110 is equal to or greater than the second threshold indicated by the threshold data 141 (yes at step S104), the estimation unit 120 estimates that the subject person is performing the characteristic operation (step S105).

On the other hand, when determining that the second radio wave intensity acquired by the activity amount acquisition unit 110 is smaller than the second threshold value indicated by the threshold data 141 (no in step S104), the estimation unit 120 estimates that the subject person is in a room other than the room on the bed B (step S106).

When the estimation unit 120 determines that the first radio wave intensity acquired by the activity amount acquisition unit 110 is smaller than the first threshold indicated by the threshold data 141 (no in step S102), the activity amount acquisition unit 110 acquires the second radio wave intensity indicating the second activity amount of the subject person detected by the second sensor 211 (step S107).

Next, the estimation unit 120 determines whether or not the second radio wave intensity acquired by the activity amount acquisition unit 110 is equal to or greater than a second threshold indicated by the threshold data 141 (step S108).

When determining that the second radio wave intensity acquired by the activity amount acquisition unit 110 is equal to or greater than the second threshold indicated by the threshold data 141 (yes at step S108), the estimation unit 120 estimates that the subject person is still on the bed B (step S109).

On the other hand, when determining that the second radio wave intensity acquired by the activity amount acquisition unit 110 is smaller than the second threshold indicated by the threshold data 141 (no in step S108), the estimation unit 120 estimates that the subject person is outdoors (step S110).

Finally, the estimation result output unit 130 outputs the estimation result estimated by the estimation unit 120 in step S105, step S106, step S109, or step S110, for example, to the notification device 220 (step S111).

[ embodiment of estimation System ]

Next, the details of the process of estimating at least one of the position and the motion of the subject person, which is executed by the estimation system 200 according to embodiment 1, will be described with reference to fig. 4 to 6.

Fig. 4 is a diagram showing an example of changes in the intensity of radio waves detected by the first sensor 210 and the second sensor 211. Specifically, (a) of fig. 4 is a graph showing a temporal change in the intensity of the radio wave detected by the first sensor 210, and (b) of fig. 4 is a graph showing a temporal change in the intensity of the radio wave detected by the second sensor 211. The horizontal axes of the graphs shown in fig. 4 (a) and (b) represent time, and the time on the horizontal axis shown in each graph represents the same time. Specifically, the same time among the times of the graphs shown in fig. 4 (a) and (b) is shown by a chain line.

First, the subject person is located outdoors. In this case, it is understood that the first sensor 210 and the second sensor 211 hardly react, the first radio wave intensity detected by the first sensor 210 is smaller than the first threshold value, and the second radio wave intensity detected by the second sensor 211 is smaller than the second threshold value.

Then, the subject person is moved from the outside to the inside. At this time, it is known that the first sensor 210 detects the first radio wave intensity equal to or higher than the first threshold value. On the other hand, it is found that the second sensor 211 hardly detects the second radio wave intensity equal to or higher than the second threshold value.

Next, the subject person is caused to perform a getting-on operation of moving to the bed B. At this time, it is understood that the first sensor 210 detects the intensity of the radio wave equal to or higher than the first threshold value, and the second sensor 211 detects the intensity of the radio wave equal to or higher than the second threshold value. This means that the subject person moves indoors and has a large motion (i.e., movement) on the bed B, and therefore both the first sensor 210 and the second sensor 211 detect a radio wave larger than the threshold value. That is, similarly, even when the subject person is caused to perform a bed leaving operation for moving from the bed B to the room as shown by reference numeral 17 in fig. 5A and 5B described later, the first sensor 210 detects the intensity of the radio wave of the first threshold value or more, and the second sensor 211 detects the intensity of the radio wave of the second threshold value or more (see reference numeral 17 in fig. 5A and 5B).

Next, the subject is allowed to stand still on the bed B. At this time, it is understood that the first sensor 210 detects a first radio wave intensity smaller than a first threshold value, and the second sensor 211 detects a second radio wave intensity equal to or larger than a second threshold value.

Next, the subject performs an operation of turning over the upper side of the bed B. At this time, it is understood that the first sensor 210 detects a first radio wave intensity equal to or higher than a first threshold value, and the second sensor 211 detects a second radio wave intensity equal to or higher than a second threshold value.

As described above, it is understood that the position and the action of the subject person can be estimated by whether the first radio wave intensity detected by the first sensor 210 is equal to or higher than the first threshold value and whether the second radio wave intensity detected by the second sensor 211 is equal to or higher than the second threshold value.

Fig. 5A is a graph showing the experimental results obtained by plotting the intensities of radio waves detected by the first sensor 210 and the second sensor 211 with respect to the predetermined action of the subject person. Fig. 5B is a diagram showing a table for explaining the definition of the plot shown in fig. 5A. Each of the plots shown in fig. 5A represents an average value of the first radio wave intensity detected by the first sensor 210 and an average value of the second radio wave intensity detected by the second sensor 211 when the 2-bit subject person is caused to perform the action shown in fig. 5B. The numerals shown in the vicinity of each plot in the graph of fig. 5A correspond to the numerals of the reference numerals shown in fig. 5B. For example, the plot "14" shown in fig. 5A represents the average value of the first radio wave intensities of the 2-bit subject person and the average value of the second radio wave intensities of the 2-bit subject person, when the 2-bit subject person is caused to perform the operation of rising from the bed B as indicated by 14 in "reference numeral" in fig. 5B.

Fig. 6 is a diagram for explaining the threshold values used when the estimation system 200 according to embodiment 1 estimates the position and behavior of the subject person.

From the experimental results shown in fig. 5A and 5B, it is understood that at least one of the position and the motion of the subject can be estimated from the first radio wave intensity and the second radio wave intensity. Specifically, as shown in fig. 6, for example, when the first threshold value and the second threshold value are determined in a graph in which the horizontal axis represents the first radio wave intensity and the vertical axis represents the second radio wave intensity, at least one of the position and the movement of the subject person can be estimated by which quadrant of the 4 quadrants determined by the first threshold value and the second threshold value is located, as shown in fig. 5A. 1 of the 4 quadrants indicates that the subject is outdoors, the other indicates that the subject is indoors other than on the bed B, the other indicates that the subject is still on the bed B, and the other indicates that the subject is performing a characteristic motion. That is, the estimation unit 120 can estimate at least one of the position and the motion of the subject person based on the first activity amount detected by the first sensor 210 and the second activity amount detected by the second sensor 211.

[ Effect and the like ]

As described above, the estimation system 200 according to embodiment 1 includes: a first sensor 210 that detects a first activity amount, which is an activity amount of a subject person in a room; a second sensor 211 for detecting a second activity amount, which is an activity amount of the subject person on a bed B located indoors; and an estimation device 100 that estimates at least one of a position and an action of the subject person at a position related to the indoor space based on the first activity amount detected by the first sensor 210 and the second activity amount detected by the second sensor 211, and outputs the estimated estimation result. The first sensor 210 and the second sensor 211 are sensors other than 2-dimensional image sensors.

With this configuration, it is possible to accurately estimate at least one of the position and the motion of the subject person at the position related to the room without using the image. Therefore, according to the estimation system 200, at least one of the position and the motion of the subject person can be estimated with high accuracy while protecting the privacy right of the subject person.

For example, the first sensor 210 and the second sensor 211 are electric wave sensors.

The radio wave sensor can easily detect the movement of the subject person in the entire room, and can also detect the movement of the subject person at a specific position such as on the bed B. That is, the radio wave sensor can easily and accurately detect the amount of activity of the subject person at the desired position.

For example, the estimation device 100 estimates, based on the first radio wave intensity detected as the first activity amount by the first sensor 210 and the second radio wave intensity detected as the second activity amount by the second sensor 211, which state the subject person is in, among characteristic operations including a bed leaving operation for leaving from the bed B and a bed getting operation for going to the bed B, (i) being out of the room, (ii) being on the bed B, (iii) being in a room other than on the bed B, and (iv) being performed.

For example, when the subject person is a person who needs to be cared, such as an elderly person, information such as going up to bed B or going out of bed B becomes important information for nursing. Here, with the above-described configuration, the estimation system 200 can accurately estimate characteristic operations including the getting-on operation and the getting-off operation.

For example, the estimation device 100 estimates that the subject person is not indoors when (i) the first radio wave intensity is smaller than the first threshold value and the second radio wave intensity is smaller than the second threshold value; (ii) estimating that the subject person is in a room other than on the bed B when the first radio wave intensity is equal to or higher than the first threshold value and the second radio wave intensity is lower than the second threshold value; (iii) estimating that the subject is on the bed B when the first radio wave intensity is smaller than the first threshold value and the second radio wave intensity is equal to or greater than the second threshold value; (iv) when the first radio wave intensity is equal to or higher than the first threshold value and the second radio wave intensity is equal to or higher than the second threshold value, it is estimated that the subject person is performing the characteristic operation.

With this configuration, the estimation system 200 can easily estimate the position and the action of the subject person based on the first threshold value and the second threshold value.

(embodiment mode 2)