Anomaly detection system and anomaly detection method

Abstract

We provide an anomaly detection system capable of detecting abnormalities in humans. [Solution] An anomaly detection system comprising: a motion detection unit 701 that detects movements of a person 20 that exceed a motion threshold using a non-contact sensor 10 provided in the first room 140; a power usage time determination unit 703 that determines the power usage time of the second room 240 if it is not possible to detect movements of the person 20 that exceed the motion threshold; and an anomaly determination unit 704 that determines that an anomaly has occurred in the person 20 if the power usage time of the second room 240 is longer than a predetermined time.

Description

Technical Field

[0001] The present invention relates to a mutation detection system and a mutation detection method.

Background Art

[0002] Conventionally, it has been proposed to measure data on a person's physical condition (see, for example, Patent Documents 1 to 7).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Patent Document 3

Patent Document 4

Patent Document 5

Patent Document 6

Patent Document 7

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventionally, there are technologies that detect falls based on changes in a person's height. However, these technologies have difficulty detecting sudden changes in the health of a person sitting in a chair or lying on bedding. Also, conventional technologies have been developed to detect abnormalities in a person based on their respiration and heart rate. However, sensors that detect respiration and heart rate need to be placed at close range, such as within 1 meter of the person, making it difficult to detect abnormalities in a person at a distance from the sensor. Furthermore, sensors that detect respiration and heart rate have difficulty detecting abnormalities that do not manifest in respiration or heart rate.Therefore, one of the objectives of the present invention is to provide an abnormality detection system and abnormality detection method that can detect abnormalities in a person that are difficult to detect with conventional technologies. [Means for solving the problem]

[0005] An anomaly detection system according to an aspect of the present invention includes: a motion detection unit that detects human movement using a non-contact sensor installed in a first room; a power usage time determination unit that determines the power usage time of a second room if human movement cannot be detected; and an anomaly determination unit that determines that an anomaly has occurred to a person if the power usage time of the second room is longer than a predetermined time.

[0006] The above anomaly detection system may further include a rescue request unit that requests rescue if it determines that an anomaly has occurred in a person.

[0007] The above anomaly detection system may further include an anomaly misjudgment suppression unit that prevents the anomaly determination unit from determining that an anomaly has occurred if the power usage time in the second room exceeds a predetermined time and human movement is detected by a non-contact sensor installed in the first room.

[0008] An abnormality detection method according to an aspect of the present invention includes detecting human movement with a non-contact sensor installed in a first room, determining the power usage time in a second room if human movement cannot be detected, and determining that an abnormality has occurred in a person if the power usage time in the second room is longer than a predetermined time.

[0009] The above anomaly detection method may further include requesting rescue if it determines that an anomaly has occurred in a person.

[0010] The above anomaly detection method may further include not determining that an anomaly has occurred to a person if the power usage time in the second room is longer than a predetermined time and human movement is detected by a non-contact sensor installed in the first room. [Effects of the Invention]

[0011] According to the present invention, it is possible to provide an abnormality detection system and an abnormality detection method capable of detecting abnormalities in humans. [Brief explanation of the drawing]

[0012] [Figure 1] This is a schematic diagram showing an anomaly detection system according to an embodiment. [Figure 2] This is a flowchart showing the anomaly detection method according to the embodiment. [Modes for carrying out the invention]

[0013] Embodiments of the present invention are described below. However, these embodiments should not be understood as limiting the present invention. Various alternative embodiments, examples, and operational techniques should become apparent to those skilled in the art from this disclosure. It should be understood that the present invention encompasses various embodiments and the like that are not described herein.

[0014] As shown in Figure 1, the anomaly detection system according to this embodiment includes: a motion detection unit 701 that detects movements of a person 20 that exceed a motion threshold using a non-contact sensor 10 provided in the first room 140; a power usage time determination unit 703 that determines the power usage time of the second room 240 if it is not possible to detect movements of the person 20 that exceed the motion threshold; and an anomaly determination unit 704 that determines that an anomaly has occurred in the person 20 if the power usage time of the second room 240 is longer than a predetermined time.

[0015] The motion detection unit 701, the power usage time specification unit 703, and the anomaly determination unit 704 are included, for example, in a computer system 700. The anomaly detection system according to the embodiment may further include a presence location determination unit 702 that determines whether a person 20 is present in a location 30 where the movement of a person 20 below a motion threshold can be detected. Sensors for detecting the movement of a person 20 are not required to be placed in the second room 240. The anomaly detection system according to the embodiment may further include an anomaly misjudgment suppression unit 706 that prevents the anomaly determination unit 704 from determining that an anomaly has occurred in person 20 when the power usage time of the second room 240 is longer than a predetermined time and the movement of a person 20 is detected by a non-contact sensor 10 provided in the first room 140.

[0016] The non-contact sensor 10 is, for example, an ultrasonic sensor, a radio wave sensor such as a millimeter wave or microwave sensor, or an infrared sensor. The non-contact sensor 10 is located in the first room 140. Bedding 41 is located in the first room 140. Examples of bedding 41 include a bed and a futon. The first room 140 may be, for example, a detached house or an apartment building, as well as a public facility such as a lodging facility, dormitory, nursing home, care facility, or hospital. The computer system 700 may be located near the first room 140 or far away from it.

[0017] Generally, a human 20 makes large movements when awake and small movements when asleep. Therefore, it is possible to set a movement threshold between the magnitude of the movement that appears when awake and the magnitude of the movement that appears when asleep for the magnitude of the movement of the human 20. If the magnitude of the movement of the human 20 is greater than or equal to the movement threshold, it is possible to determine that the human 20 is awake. If the magnitude of the movement of the human 20 is less than the movement threshold, it is possible to determine that the human 20 is asleep. For example, a movement of the human 20 of 10 cm or more may be regarded as the movement that appears when awake, and a movement of the human 20 of less than 10 cm may be regarded as the movement that appears when asleep.

[0018] The non-contact sensor 10 detects the movement of the measurement object with higher sensitivity as the measurement object is closer and detects the movement of the measurement object with lower sensitivity as the measurement object is farther away. Also, when the non-contact sensor 10 has directivity, the non-contact sensor 10 detects the movement of the measurement object with higher sensitivity as it is closer to the direction of travel of the energy emitted by the non-contact sensor 10, and detects the movement of the measurement object with lower sensitivity as it is farther away from the direction of travel of the energy emitted by the non-contact sensor 10.

[0019] For example, it is possible to divide the location where the non-contact sensor 10 detects the presence of the human 20 into a location where it can detect a movement smaller than the movement threshold of the human 20 and a location where it cannot detect a movement smaller than the movement threshold of the human 20. The location 30 where the non-contact sensor 10 can detect a movement smaller than the movement threshold of the human 20 is, for example, a location within 3 m, within 2.5 m, or within 2 m from the non-contact sensor 10.

[0020] The non-contact sensor 10 and the bedding 41 are arranged such that the bedding 41 is located at a location 30 where the non-contact sensor 10 can detect a movement smaller than the movement threshold of the human 20. For example, when the non-contact sensor 10 is fixed, the bedding 41 may be arranged at a location 30 where the non-contact sensor 10 can detect a movement smaller than the movement threshold of the human 20. When the bedding 41 is fixed, the non-contact sensor 10 may be arranged such that the bedding 41 enters a location 30 where the non-contact sensor 10 can detect a movement smaller than the movement threshold of the human 20.

[0021] In step S301 of Figure 2, the motion detection unit 701 detects whether the person 20 is moving above a motion threshold in the first room 140 via the non-contact sensor 10. If it is not detected that the person 20 is moving above a motion threshold, the motion detection unit 701 records to the storage unit 801 that it was not detected that the person 20 is moving above a motion threshold in the first room 140. The motion detection unit 701 also informs the presence position determination unit 702 that it was not detected that the person 20 is moving above a motion threshold.

[0022] In step S302, the presence location determination unit 702 determines whether a person 20 is present in a location 30 where the non-contact sensor 10 can detect movements of a person 20 smaller than the movement threshold, for example, on the bedding 41. For example, it is possible to obtain a signal indicating the absence of a person when the non-contact sensor 10 detects that a person 20 is not present in a location 30 where movements of a person 20 smaller than the movement threshold can be detected, and then determine whether a person 20 is present in a location 30 where movements of a person 20 smaller than the movement threshold can be detected at the time of measurement, based on the difference between the signal indicating the absence of a person and the signal at the time of measurement.

[0023] If the non-contact sensor 10 fails to detect the presence of a person 20 in location 30 where it can detect movements smaller than the movement threshold of the person 20, the presence location determination unit 702 records in the storage unit 801 that the non-contact sensor 10 failed to detect the presence of a person 20 in location 30 where it can detect movements smaller than the movement threshold of the person 20. The presence location determination unit 702 also informs the power usage time determination unit 703 that the non-contact sensor 10 failed to detect the presence of a person 20 in location 30 where it can detect movements smaller than the movement threshold of the person 20.

[0024] In step S303, the power usage time identification unit 703 uses, for example, the power meter 110 to identify the power usage time of the second room 240, which is different from that of the first room 140. The power usage time identification unit 703 records the power usage time of the second room 240 in the storage unit 801. The power usage time identification unit 703 also informs the anomaly detection unit 704 of the power usage time of the second room 240.

[0025] In step S304, the anomaly detection unit 704 determines that an anomaly has occurred with person 20 in the second room 240 if it is unable to detect movement of person 20 above a threshold in the first room 140, and the power usage time in the second room 240 is longer than a predetermined time. Alternatively, the anomaly detection unit 704 determines that an anomaly has occurred with person 20 in the second room 240 if it is unable to detect movement of person 20 above a threshold in the first room 140, and the presence of person 20 is not detected in location 30 where the non-contact sensor 10 can detect movement of person 20 below the movement threshold, and the power usage time in the second room 240 is longer than a predetermined time. The predetermined time is, for example, 1 hour or more, 2 hours or more, 4 hours or more, 8 hours or more, or 12 hours or more. The anomaly detection unit 704 records in the storage unit 801 that an anomaly has occurred with person 20 in the second room 240.

[0026] The anomaly detection system according to this embodiment may further include a rescue request unit 705 that requests rescue if it determines that an anomaly has occurred to a person. If it determines that an anomaly has occurred to a person 20 in the second room 240, the anomaly detection unit 704 informs the rescue request unit 705 that an anomaly has occurred to a person 20 in the second room 240. In step S305, the rescue request unit 705 transmits an electrical signal to at least one of the following, for example, a fire station, police station, doctor, nurse, caregiver, assistant, security company, relative, and family member, requesting that an anomaly occur to a person 20 in the second room 240 and that the person 20 be rescued.

[0027] Although the present invention has been described above by embodiments, the descriptions and drawings that constitute part of this disclosure should not be understood as limiting the invention. Various alternative embodiments, examples, and operational techniques should become apparent to those skilled in the art from this disclosure. It should be understood that the present invention encompasses various embodiments and the like that are not described herein. [Explanation of Symbols]

[0028] 10...Non-contact sensor, 20...Human, 30...Location, 41...Bedding, 110...Power meter, 140...First room, 240...Second room, 700...Computer system, 701...Motion detection unit, 702...Presence location determination unit, 703...Power usage time determination unit, 704...Anomaly detection unit, 705...Rescue request unit, 706...Anomaly misjudgment suppression unit, 801...Memory unit

Claims

1. A motion detection unit that detects human movement using a non-contact sensor installed in the first room, If the aforementioned human movement cannot be detected, a power usage time determination unit determines the power usage time of the second room, An abnormality detection unit determines that if the electricity usage time in the second room exceeds a predetermined time, an abnormality has occurred in a person. An anomaly detection system, including...

2. The abnormality detection system according to claim 1, further comprising a rescue request unit that requests rescue if it is determined that an abnormality has occurred in the person.

3. The first room is equipped with a non-contact sensor to detect human movement, If the aforementioned human movement cannot be detected, the power usage time of the second room will be determined, If the electricity usage time in the second room exceeds a predetermined time, it is determined that something is wrong with a person. An anomaly detection method, including the above.

4. The abnormality detection method according to claim 3, further comprising requesting rescue if it is determined that an abnormality has occurred in the person.

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