Abnormality detection system and abnormality detection method
The abnormality detection system addresses the challenge of detecting health abnormalities in seated or lying individuals by using non-contact sensors to analyze motion and power usage, effectively reducing false alarms and ensuring timely intervention.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- TOTAL FUTURE HEALTHCARE INC
- Filing Date
- 2025-11-21
- Publication Date
- 2026-06-18
AI Technical Summary
Conventional methods struggle to detect sudden health abnormalities in individuals sitting or lying down, especially when sensors for detecting breathing and heartbeat are not in close proximity, and fail to identify abnormalities not reflected in breathing or heartbeat patterns.
An abnormality detection system utilizing a non-contact sensor in a first room to detect human motion, specify power usage time in a second room, and determine anomalies based on prolonged power usage times when motion is undetectable, with optional features to prevent false positives.
Enables effective detection of health abnormalities in individuals at a distance, reducing false alarms by considering both motion detection and power usage patterns, and facilitates timely rescue requests when necessary.
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Figure JP2025040821_18062026_PF_FP_ABST
Abstract
Description
Abnormality Detection System and Abnormality Detection Method 【0001】 The present invention relates to an abnormality detection system and an abnormality detection method. 【0002】 Conventionally, it has been proposed to measure data on the physical condition of a person (see, for example, Patent Documents 1 to 7). 【0003】 Japanese Patent No. 6203765, Japanese Patent No. 6217787, Japanese Patent No. 6288485, Japanese Patent No. 6342095, Japanese Patent No. 6566241, Japanese Patent No. 6577761, Japanese Patent No. 7168270 【0004】 Conventionally, there is a technique for detecting a person's fall based on a change in the person's height. However, in the technique for detecting a person's fall, it is difficult to detect a sudden abnormality in the health condition of a person sitting on a chair or lying on a bedding. Conventionally, there is also a technique for detecting a person's abnormality based on the person's breathing and heartbeat. However, a sensor for detecting a person's breathing and heartbeat needs to be arranged at a short distance, such as within 1 m from the person, and it is difficult to detect an abnormality in a person at a position far from the sensor. Also, it is difficult for a sensor for detecting a person's breathing and heartbeat to detect an abnormality that does not appear in breathing and heartbeat. Therefore, one of the objectives of the present invention is to provide an abnormality detection system and an abnormality detection method capable of detecting an abnormality in a person that is difficult to detect by conventional techniques. 【0005】 The abnormality detection system according to an aspect of the present invention includes a motion detection unit that detects a person's motion using a non-contact sensor provided in a first room, a power usage time specifying unit that specifies the power usage time of a second room when the person's motion cannot be detected, and an abnormality determination unit that determines that an abnormality has occurred in the person when the power usage time of the second room is longer than a predetermined time. 【0006】 When the above abnormality detection system determines that an abnormality has occurred in a person, it may further include a rescue request unit that requests rescue. 【0007】The above-described 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. 【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. 【0012】 This is a schematic diagram showing the anomaly detection system according to the embodiment. This is a flowchart showing the anomaly detection method according to the embodiment. 【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 the 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 the 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, 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. 【0018】 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. 【0019】 For example, the location where the non-contact sensor 10 detects the presence of a person 20 can be divided into a location where it can detect movements smaller than the movement threshold of the person 20 and a location 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. 【0020】 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 located in a place 30 where the non-contact sensor 10 can detect movements smaller than the movement threshold of the person 20. 【0021】In step S301 of Figure 2, the motion detection unit 701 detects, via the non-contact sensor 10, whether or not the person 20 is moving above a motion threshold in the first room 140. If it is not detected that the person 20 is moving above a motion threshold, the motion detection unit 701 records in the storage unit 801 that it was not possible to detect 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 possible to detect 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 a 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 a 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 a 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 in the first room 140 that exceeds a threshold, 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 in the first room 140 that exceeds a threshold, and the presence of person 20 is not detected in location 30 where the non-contact sensor 10 can detect movement of person 20 that is smaller than 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 when 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. 【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...Position 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. An anomaly detection system comprising: 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.
2. The abnormality detection system according to claim 1, further comprising a rescue request unit that requests rescue when it is determined that an abnormality has occurred in the person.
3. An anomaly detection method comprising: detecting human movement using a non-contact sensor installed in a first room; determining the power usage time of the second room if human movement cannot be detected; and determining that an anomaly has occurred in the person if the power usage time of the second room is longer than a predetermined time.
4. The abnormality detection method according to claim 3, further comprising requesting rescue if it is determined that an abnormality is occurring in the person.