3D Motion and Sound Sensor Fall Detection System
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Solution Overview
Problem
Elderly individuals at home alone often experience undetected falls, leading to prolonged immobility and associated health complications, as existing monitoring systems are inadequate in detecting such incidents automatically and providing timely assistance.
Innovation Solution
A home monitoring system utilizing 3D Camera, Motion, and Sound Sensors to continuously track individuals' movements, automatically detect falls, and notify caregivers through a computerized monitoring system, which includes skeletal tracking and real-time data analysis to differentiate between falls and other movements, ensuring immediate assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional motion sensors are used to monitor individuals, then the system is simple and low-cost, but the system cannot accurately detect falls and differentiate them from other movements
Solution Approach 1:
The patent combines multiple sensor types (accelerometers, gyroscopes, magnetometers) into an integrated monitoring system. This merging of sensors allows the system to capture multiple dimensions of motion data simultaneously, enabling accurate fall detection while maintaining system manageability through integrated design.
Solution Approach 2:
The patent introduces sophisticated signal processing algorithms as intermediaries between raw sensor data and fall detection. These algorithms process and interpret the complex multi-sensor data, differentiating falls from other movements through pattern recognition and threshold analysis, thereby achieving high detection accuracy without requiring overly complex hardware.
2Loss of time
If continuous monitoring is implemented to detect falls immediately, then response time is reduced, but energy consumption increases
Solution Approach 1:
The patent implements periodic monitoring with variable intervals rather than truly continuous monitoring. The system adjusts the monitoring frequency based on detected activity patterns and risk levels, performing more frequent checks when falls are suspected and reducing frequency during stable periods, thereby maintaining rapid response capability while managing energy consumption.
Solution Approach 2:
The system performs preliminary analysis of motion patterns using onboard processors to identify potential fall events before triggering full alert protocols. This preliminary action allows the system to prepare for rapid response when needed while avoiding the energy cost of continuous full-power operation, balancing response time and energy use.
Data Source
AI summary
A method for monitoring an individual in a dwelling so as to know when such individual falls or indicates the need of assistance. A plurality of 3D motion and sound sensors are located in the dwelling and provide data to a computerized monitoring system. The sensors are configured to recognize one or more biometric identifiers of the individual being monitored, which are used to track the individual's movement. When the monitoring system detects that the individual has fallen or gestured for assistance, a computerized communication system alerts the individual, a caregiver, or other designated person.