Method for remote presence detection and/or remote behavioral analysis, its implementing device and presence detection device
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Solution Overview
Problem
Existing devices for detecting falls and behavioral anomalies in vulnerable individuals, such as the elderly or disabled, are unreliable and require human intervention, failing to accurately differentiate between movements in bed and actual falls, and often cannot alert third parties promptly or automatically.
Innovation Solution
A method and device for remote presence detection and behavioral analysis using presence detection means, electronic data acquisition modules, and remote data processing with software applications that automatically generate information on falls and behavioral anomalies, transmitting data via communication means like Wi-Fi or GSM for automated alerting and analysis without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a movement radar is mounted on a wall to detect individual movements, then the detection coverage is improved, but the ability to distinguish between simple movements and actual falls or exits deteriorates
Solution Approach 1:
The detection space is divided into multiple detection zones (first detection zone near the bed, second detection zone further away) using multiple presence detection means. This segmentation allows the system to distinguish between simple movements within bed proximity and actual exits or falls by detecting presence in different spatial regions, thereby maintaining both broad coverage and high precision.
Solution Approach 2:
The system transitions from single-point detection to multi-zone spatial detection by implementing detection zones at different locations and heights. This dimensional approach enables the radar to differentiate between movements in bed versus actual falls or exits by analyzing presence patterns across multiple spatial dimensions, resolving the contradiction between coverage area and detection precision.
2Device complexity
If alert devices require manual button activation, then device simplicity is maintained, but reliability of fall alerting deteriorates
Solution Approach 1:
The system implements automated detection and alerting functionality that operates without requiring manual intervention from the monitored individual. The presence detection means automatically detect falls or exits and trigger alerts to third parties, making the system self-serving and eliminating the need for button activation, thereby maintaining simplicity while dramatically improving reliability.
Solution Approach 2:
The manual mechanical button-pressing action is replaced with automated electronic detection systems. The presence detection means use radar or sensor technology to automatically detect falls and exits, substituting the mechanical interaction requirement with electronic automation, thus maintaining device simplicity while ensuring reliable alerting even when the individual is incapacitated.
3Measurement precision
If presence detection means are positioned close to the bed, then detection of bed exits is improved, but detection of falls in other living areas deteriorates
Solution Approach 1:
The presence detection system is designed with multiple detection zones and means that serve multiple functions simultaneously. The first detection zone near the bed detects bed exits, while the second detection zone covers broader living areas for fall detection. This multi-functional design allows a single system to maintain high precision for bed exit detection while simultaneously providing broad area coverage for comprehensive safety monitoring.
Data Source
AI summary
Disclosed is a method for remote presence detection and remote behavioral analysis of an individual in a living area, including furnishing detection data by a presence detection unit during the detection of the individual in at least one detection zone covered by the detection unit, the transmission of data by the detection unit to an electronic data acquisition module, remote sending of data, from the electronic data acquisition module via a communication unit, to a remote data processing unit for automatically generating at least one piece of information, with the remote data processing unit being associated with at least one software application that can automatically generate one or more pieces of information relative to the fall of an individual from a standing, seated or lying-down position, and/or relative to the behavior of an individual in the detection zone or zones in particular to deduce therefrom one or more behavioral anomalies.