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 first motion detection unit 301 that detects movements of a person 20 that are greater than a motion threshold using a non-contact sensor 10; a presence location determination unit 302 that, if it has detected movements greater than the motion threshold, determines whether a person is present in a location 30 where the non-contact sensor 10 can detect movements of a person 20 that are less than the motion threshold; a second motion detection unit 303 that detects movements of a person 20 that are less than the motion threshold if it has determined that a person is present in a location 30 where it can detect movements of a person 20 that are less than the motion threshold; and an anomaly determination unit 304 that, if it has not detected movements less than the motion threshold, determines that something is wrong with the person 20.

Description

Technical Field

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[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 the physical condition of a person (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 first motion detection unit that detects human motion exceeding a motion threshold using a non-contact sensor; a presence location determination unit that, if motion exceeding the motion threshold is detected, determines whether a person is present in a location where the non-contact sensor can detect human motion below the motion threshold; a second motion detection unit that, if it is determined that a person is present in a location where human motion below the motion threshold can be detected, detects human motion below the motion threshold; and an anomaly determination unit that, if motion below the motion threshold cannot be detected, determines that an anomaly has occurred to the person. The locations where the non-contact sensor can detect human motion below the motion threshold may be automatically learned by the non-contact sensor based on the magnitude of human motion.

[0006] In the anomaly detection system described above, if the anomaly determination unit fails to detect movement below a certain threshold for a predetermined period of time, it may determine that an anomaly has occurred in a person.

[0007] 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.

[0008] An anomaly detection system according to an aspect of the present invention includes: a motion detection unit that detects human movement exceeding a motion threshold using a non-contact sensor installed in a room; a presence location determination unit that, if motion exceeding the motion threshold is detected, determines whether a person is present in a location where the non-contact sensor can detect human movement below the motion threshold; a history confirmation unit that, if it is determined that the presence of a person cannot be detected in a location where human movement below the motion threshold can be detected, and if motion exceeding the motion threshold cannot be detected for a predetermined time, checks whether there is a history of the person leaving the room; and an anomaly determination unit that, if there is no history of the person leaving the room, determines that an anomaly has occurred to the person. Locations where the non-contact sensor can detect human movement below the motion threshold may be automatically learned by the non-contact sensor based on the magnitude of the human movement.

[0009] In the above anomaly detection system, if there is no record of a person leaving the room, the anomaly determination unit may determine that an anomaly has occurred to the person after a predetermined time has elapsed since it failed to detect movement exceeding the movement threshold.

[0010] 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.

[0011] An abnormality detection method according to an aspect of the present invention includes detecting human movement exceeding a motion threshold using a non-contact sensor, determining if a human is present in a location where the non-contact sensor can detect human movement below the motion threshold if movement exceeding the motion threshold is detected, detecting human movement below the motion threshold if it is determined that a human is present in a location where human movement below the motion threshold can be detected, and determining that an abnormality has occurred in the human if movement below the motion threshold cannot be detected.

[0012] In the above anomaly detection method, if movement below a motion threshold cannot be detected for a predetermined period of time, it may be determined that an anomaly has occurred in the person.

[0013] The above anomaly detection method may further include requesting rescue if it determines that an anomaly has occurred in a person.

[0014] The method for detecting anomalies according to an aspect of the present invention includes detecting movement greater than or equal to a human movement threshold value using a non-contact sensor provided in a room, and when movement greater than or equal to the movement threshold value is detected, determining whether a human is present at a location where the non-contact sensor can detect human movement less than the movement threshold value. When it is determined that the presence of a human cannot be detected at a location where human movement less than the movement threshold value can be detected, and when movement greater than or equal to the movement threshold value cannot be detected for a predetermined time, checking whether there is a history of the human leaving the room. When there is no history of the human leaving the room, determining that an anomaly has occurred to the human.

[0015] In the above-described method for detecting anomalies, when there is no history of the human leaving the room, it may be determined that an anomaly has occurred to the human after a predetermined time has elapsed since movement greater than or equal to the movement threshold value could not be detected.

[0016] When the above-described method for detecting anomalies determines that an anomaly has occurred to the human, it may further include requesting rescue.

Advantages of the Invention

[0017] According to the present invention, it is possible to provide an anomaly detection system and an anomaly detection method capable of detecting anomalies in a human.

Brief Description of the Drawings

[0018] [Figure 1] It is a schematic diagram showing an anomaly detection system according to a first embodiment. [Figure 2] It is a flowchart showing an anomaly detection method according to a first embodiment. [Figure 3] It is a schematic diagram showing an anomaly detection system according to a second embodiment. [Figure 4] It is a flowchart showing an anomaly detection method according to a second embodiment.

Modes for Carrying Out the Invention

[0019] 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.

[0020] (First embodiment) As shown in Figure 1, the anomaly detection system according to the first embodiment includes: a first motion detection unit 301 that detects movements of a person 20 that are greater than or equal to a motion threshold using a non-contact sensor 10; a presence location determination unit 302 that, if it has detected movements greater than or equal to a motion threshold, determines whether a person 20 is present in a location 30 where movements of a person 20 that are less than or equal to a motion threshold can be detected; a second motion detection unit 303 that, if it has determined that a person is present in a location 30 where movements of a person 20 that are less than or equal to a motion threshold can be detected, detects movements of the person 20 that are less than or equal to a motion threshold; and an anomaly determination unit 304 that, if it has not detected movements less than or equal to a motion threshold, determines that an anomaly has occurred in the person 20.

[0021] The first motion detection unit 301, the presence location determination unit 302, the second motion detection unit 303, and the anomaly determination unit 304 are included, for example, in a computer system 300.

[0022] 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 room 40. Bedding 41 is located in room 40. Examples of bedding 41 include a bed and a futon. Room 40 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 300 may be located near room 40 or far away from it.

[0023] Generally, 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 movements that occur when awake and the magnitude of movements that occur when asleep. If the magnitude of human 20's movements is greater than or equal to the movement threshold, it is possible to determine that human 20 is awake, and if the magnitude of human 20's movements is less than the movement threshold, it is possible to determine that human 20 is asleep. For example, movements of human 20 of 10 cm or more may be considered movements that occur when awake, and movements of human 20 of less than 10 cm may be considered movements that occur when asleep.

[0024] The non-contact sensor 10 detects the movement of the object being measured with higher sensitivity the closer it is to the object, and with lower sensitivity the further away it is from the object. Furthermore, if the non-contact sensor 10 is directional, it detects the movement of the object being measured with higher sensitivity the closer it is to the direction of energy propagation emitted by the non-contact sensor 10, and with lower sensitivity the further away it is from the direction of energy propagation emitted by the non-contact sensor 10.

[0025] For example, the location where the non-contact sensor 10 detects the presence of a person 20 can be divided into locations where it can detect movements smaller than the movement threshold of the person 20 and locations where it cannot detect movements smaller than the movement threshold of the person 20. Locations 30 where the non-contact sensor 10 can detect movements smaller than the movement threshold of the person 20 are, for example, within 3m, 2.5m, or 2m from the non-contact sensor 10.

[0026] The non-contact sensor 10 and the bedding 41 are positioned such that the bedding 41 is located in a place 30 where the non-contact sensor 10 can detect movements smaller than the movement threshold of the person 20. For example, if the non-contact sensor 10 is fixed, the bedding 41 may be positioned in a place 30 where the non-contact sensor 10 can detect movements smaller than the movement threshold of the person 20. If the bedding 41 is fixed, the non-contact sensor 10 may be positioned so that the bedding 41 is in a place 30 where the non-contact sensor 10 can detect movements smaller than the movement threshold of the person 20.

[0027] In step S101 of Figure 2, the first motion detection unit 301 detects whether the person 20 is moving above a motion threshold via the non-contact sensor 10. If it is detected that the person 20 is moving above a motion threshold, the first motion detection unit 301 records in the storage unit 401 that it has been detected that the person 20 is moving above a motion threshold. The first motion detection unit 301 also informs the presence position determination unit 302 that it has been detected that the person 20 is moving above a motion threshold.

[0028] In step S102, the presence location determination unit 302 determines whether a person 20 is present in a location 30 where the non-contact sensor 10 can detect the movement of a person 20 below a 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 the movement of a person 20 below a movement threshold can be detected, and then determine whether a person 20 is present in a location 30 where the movement of a person 20 below a 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.

[0029] If a person 20 is present in a location 30 where the movement of the person 20 below the movement threshold can be detected, the presence location determination unit 302 records in the storage unit 401 that the person 20 is present in a location 30 where the movement of the person 20 below the movement threshold can be detected. The presence location determination unit 302 also informs the second movement detection unit 303 that the person 20 is present in a location 30 where the movement of the person 20 below the movement threshold can be detected.

[0030] In step S103, the second motion detection unit 303 determines, via the non-contact sensor 10, whether the person 20 is making movements below the motion threshold. Specifically, the second motion detection unit 303 determines, via the non-contact sensor 10, whether the person 20 is making movements of a magnitude that occur during sleep. If the person 20 is not making movements below the motion threshold, the second motion detection unit 303 records in the memory unit 401 that the person 20 is not making movements below the motion threshold. The second motion detection unit 303 also informs the anomaly detection unit 304 that the person 20 is not making movements below the motion threshold.

[0031] In step S104, the anomaly detection unit 304 determines that an anomaly has occurred in the bedding 41 if it fails to detect movement of a person 20 that is less than the movement threshold in a location 30 where movement of a person 20 less than the movement threshold can be detected. Specifically, the anomaly detection unit 304 determines that an anomaly has occurred in the bedding 41 if it fails to detect movement of a person 20 that is less than the movement threshold in a person 20 that is on the bedding 41. An anomaly is, for example, fainting. The anomaly detection unit 304 may also determine that an anomaly has occurred in the bedding 41 if it fails to detect movement less than the movement threshold for a predetermined time. The predetermined time is, for example, 30 minutes, 25 minutes, 20 minutes, 15 minutes, or 10 minutes. If the anomaly detection unit 304 determines that an anomaly has occurred in the bedding 41, it records in the memory unit 401 that an anomaly has occurred in the bedding 41.

[0032] The anomaly detection system according to the first embodiment may further include a rescue request unit 305 that requests rescue if it determines that an anomaly has occurred to the person 20 in the bedding 41. If it determines that an anomaly has occurred to the person 20 in the bedding 41, the anomaly detection unit 304 informs the rescue request unit 305 that an anomaly has occurred to the person 20 in the bedding 41. In step S105, the rescue request unit 305 transmits an electrical signal to at least one of the following: a fire station, a police station, a doctor, a nurse, a caregiver, an assistant, a security company, a relative, and a family member, requesting that an anomaly have occurred to the person 20 in the bedding 41 and that the person 20 be rescued.

[0033] (Second embodiment) As shown in Figure 3, the anomaly detection system according to the second embodiment includes: a motion detection unit 501 that detects movements of a person 20 that are greater than or equal to a motion threshold using a non-contact sensor 10 provided in room 40; a presence location determination unit 502 that, if it has detected movements greater than or equal to the motion threshold, determines whether the person 20 is present in a location 30 where movements of the person 20 that are less than the motion threshold can be detected; a history confirmation unit 503 that, if it has determined that the presence of the person 20 cannot be detected in a location 30 where movements of the person 20 that are less than the motion threshold can be detected, and if it has not detected movements greater than or equal to the motion threshold for a predetermined time, checks whether there is a history of the person 20 leaving room 40; and an anomaly determination unit 504 that, if there is no history of the person 20 leaving room 40, determines that an anomaly has occurred to the person.

[0034] The motion detection unit 501, the presence location determination unit 502, the history confirmation unit 503, and the anomaly detection unit 504 are included, for example, in a computer system 500.

[0035] The non-contact sensor 10 is the same as in the first embodiment. The motion detection unit 501 is the same as the first motion detection unit 301 in the first embodiment. In step S201 of Figure 4, the motion detection unit 501 detects whether the person 20 is moving above a motion threshold via the non-contact sensor 10. If it is detected that the person 20 is moving above a motion threshold, the motion detection unit 501 records in the storage unit 601 that it has been detected that the person 20 is moving above a motion threshold. The motion detection unit 501 also informs the presence position determination unit 502 that it has been detected that the person 20 is moving above a motion threshold.

[0036] In step S202, the presence location determination unit 502 determines whether the person 20 is present in a location 30 where the non-contact sensor 10 can detect the movement of the person 20 below the movement threshold, for example, on the bedding 41. If the presence of the person 20 is not detected in the location 30 where the movement of the person 20 below the movement threshold can be detected, the presence location determination unit 502 records in the storage unit 601 that the presence of the person 20 was not detected in the location 30 where the movement of the person 20 below the movement threshold can be detected. The presence location determination unit 502 also informs the history confirmation unit 503 that the presence of the person 20 was not detected in the location 30 where the movement of the person 20 below the movement threshold can be detected.

[0037] In step S203, the history confirmation unit 503 checks if there is a history of person 20 leaving room 40 if no movement exceeding the movement threshold has been detected for a predetermined time since the last time movement exceeding the movement threshold was detected. The predetermined time is, for example, 30 minutes, 25 minutes, 20 minutes, 15 minutes, or 10 minutes. For example, it checks if there is a record of person 20 leaving room 40 using the entry / exit sensor 43 installed at the entrance / exit 42 of room 40. If there is no record of person 20 leaving room 40, the history confirmation unit 503 records in the storage unit 601 that there is no record of person 20 leaving room 40. The history confirmation unit 503 also informs the anomaly detection unit 504 that there is no record of person 20 leaving room 40.

[0038] In step S204, the anomaly detection unit 504 determines that an anomaly has occurred with person 20 in room 40 if person 20 is not present in location 30 where movement of person 20 below the movement threshold can be detected, and there is no history of person 20 leaving room 40. The anomaly detection unit 504 may also determine that an anomaly has occurred with person 20 in room 40 if it has not been able to detect movement below the movement threshold for a predetermined time. The predetermined time is, for example, 60 minutes, 45 minutes, 30 minutes, 25 minutes, 20 minutes, 15 minutes, or 10 minutes. If the anomaly detection unit 504 determines that an anomaly has occurred with person 20 in room 40, it records in the storage unit 401 that an anomaly has occurred with person 20 in room 40.

[0039] The anomaly detection system according to the second embodiment may further include a rescue request unit 505 that requests rescue if it determines that an anomaly has occurred to a person 20 in room 40. The rescue request unit 505 is the same as the rescue request unit 305 in the first embodiment. In step S205, the rescue request unit 505 transmits an electrical signal to at least one of the following: a fire station, a police station, a doctor, a nurse, a caregiver, an assistant, a security company, a relative, and a family member, requesting that an anomaly has occurred to a person 20 in room 40 and that the person 20 be rescued.

[0040] 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]

[0041] 10...Non-contact sensor, 20...Human, 30...Location, 31...Location, 40...Room, 41...Bedding, 42...Entrance / Exit, 43...Entry / Exit sensor, 300...Computer system, 301...First motion detection unit, 302...Presence location determination unit, 303...Second motion detection unit, 304...Anomaly detection unit, 305...Rescue request unit, 401...Memory unit, 500...Computer system, 501...Motion detection unit, 502...Presence location determination unit, 503...History confirmation unit, 504...Anomaly detection unit, 505...Rescue request unit, 601...Memory unit

Claims

1. A first motion detection unit that detects human motion exceeding a threshold using a non-contact sensor, If motion exceeding the aforementioned motion threshold is detected, the presence location determination unit determines whether a person is present in a location where the non-contact sensor can detect human motion below the aforementioned motion threshold, If it is determined that a person is present in a location where human movement below the aforementioned movement threshold can be detected, a second motion detection unit detects human movement below the aforementioned movement threshold, If no movement below the aforementioned motion threshold is detected, the abnormality detection unit determines that an abnormality has occurred in the person. An anomaly detection system, including...

2. The abnormality detection system according to claim 1, wherein the abnormality detection unit determines that an abnormality has occurred in a person if it fails to detect movement below the movement threshold for a predetermined period of time.

3. 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.

4. A motion detection unit that uses non-contact sensors installed in the room to detect human motion exceeding a threshold, If motion exceeding the aforementioned motion threshold is detected, the presence location determination unit determines whether a person is present in a location where the non-contact sensor can detect human motion below the aforementioned motion threshold, If it is determined that no human presence can be detected in a location where human movement below the aforementioned movement threshold can be detected, and if no movement above the aforementioned movement threshold can be detected for a predetermined period of time, a history confirmation unit checks whether there is a history of a person leaving the room. An abnormality detection unit determines that something is wrong with a person if there is no record of the person leaving the aforementioned room. An anomaly detection system, including...

5. The anomaly detection system according to claim 4, wherein the anomaly detection unit determines that an anomaly has occurred in a person after a predetermined time has elapsed since it failed to detect movement exceeding the movement threshold, if there is no record of the person leaving the room.

6. The abnormality detection system according to claim 4, further comprising a rescue request unit that requests rescue if it is determined that an abnormality has occurred in the person.

7. Detecting human movement exceeding a threshold using a non-contact sensor, If motion exceeding the aforementioned motion threshold is detected, it is determined whether a person is present in a location where the non-contact sensor can detect human motion below the aforementioned motion threshold. If it is determined that a person is present in a location where human movement below the aforementioned movement threshold can be detected, then the human movement below the aforementioned movement threshold is detected. If no movement below the aforementioned motion threshold is detected, it is determined that something is wrong with the person. An anomaly detection method, including the above.

8. The abnormality detection method according to claim 7, wherein if movement below the aforementioned movement threshold cannot be detected for a predetermined period of time, it is determined that an abnormality has occurred in a person.

9. The abnormality detection method according to claim 7, further comprising requesting rescue if it is determined that an abnormality has occurred in the person.

10. The system uses non-contact sensors installed in the room to detect human movement exceeding a certain threshold, If motion exceeding the aforementioned motion threshold is detected, the non-contact sensor determines whether there is a person present in which it can detect human motion below the aforementioned motion threshold. If it is determined that no human presence can be detected in a location where human movement below the aforementioned movement threshold can be detected, and if no movement above the aforementioned movement threshold can be detected for a predetermined period of time, then it is confirmed whether there is a history of the person leaving the room. If there is no record of a person leaving the aforementioned room, it will be determined that something is wrong with the person. An anomaly detection method, including the above.

11. The abnormality detection method according to claim 10, wherein, if there is no record of a person leaving the room, it is determined that an abnormality has occurred in the person after a predetermined time has elapsed since the time when no movement exceeding the movement threshold was detected.

12. The abnormality detection method according to claim 10, further comprising requesting rescue if it is determined that an abnormality is occurring in the person.

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