Method of detecting presence and/or remote behavioural analysis, implementing device and presence detection device
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Solution Overview
Problem
Existing devices for detecting falls and behavioral anomalies in individuals, particularly those with loss of autonomy, are unreliable as they require human intervention or cannot differentiate between movements and actual falls, and lack automated remote alerting capabilities.
Innovation Solution
A remote presence detection and behavioral analysis method using sensors and software applications that automatically generate information on falls and anomalies, transmitting data via communication means for automated processing and alerting, without requiring human intervention, and utilizing multiple sensors to differentiate between movements and falls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a motion radar is fixed high on a wall to detect movements, then the detection coverage is improved, but the ability to differentiate between simple movements and actual falls deteriorates
Solution Approach 1:
The detection system is segmented into multiple sensors positioned at different heights (first sensor near the floor, second sensor above the bed). This segmentation allows the system to detect movements at different vertical levels, enabling differentiation between simple movements (detected by both sensors) and falls (detected only by the lower sensor), thereby resolving the contradiction between broad detection coverage and precise fall detection.
2Device complexity
If alert devices require a button to be pressed by the person, then the device complexity is reduced, but the reliability of fall alerting deteriorates
Solution Approach 1:
The system implements self-service by automatically detecting falls through the sensor network and triggering alerts without requiring any action from the monitored person. The processing means automatically analyzes sensor data, identifies fall patterns, and sends notifications to third parties, making the system reliable even when the person is unconscious or unable to press a button.
3Reliability
If automated detection systems are implemented to detect falls remotely, then the reliability of fall detection is improved, but the device complexity and data processing requirements worsen
Solution Approach 1:
The patent introduces an intermediary processing means that acts as a mediator between the simple sensor network and the remote monitoring system. This processing means locally analyzes sensor data to identify fall patterns, filtering out false alarms and reducing the data transmission burden. By placing intelligence at the edge (in the processing means rather than requiring complex centralized processing), the system achieves reliable remote detection without excessive overall complexity.
Data Source
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AI summary
The subject of the invention is a method for detecting the presence and remote behavioral analysis of a person in a residential area, comprising the supply of detection data by presence detection means during the detection of the person in at least one detection zone covered by said detection means, the transmission of the data by the detection means to an electronic data acquisition module, the remote sending of the data, from the said electronic data via communication means, to remote data processing means for automatically generating at least one piece of information, the remote data processing means being associated with at least one software application which is able to automatically generate one or more pieces of information relating to the fall of a person from a standing, sitting or lying position, and/or relating to the behavior of a person in the area(s) of d detection to in particular deduce one or more behavioral anomalies.