Fall Detection via Velocity and Acceleration Vectors
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Solution Overview
Problem
Current fall detection systems face issues such as high costs, complexity in installation, and low reliability due to excessive computing requirements and high false positive/negative rates, particularly in private settings where centralized image monitoring is intrusive and often ineffective.
Innovation Solution
A method and device for detecting falls by analyzing video streams, which involves acquiring successive images, selecting points for analysis, determining movement through velocity and acceleration calculations, and triggering an alarm when predefined thresholds are met, with optional features like region-of-interest detection and correlation with wearable devices for confirmation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized image monitoring is used for fall detection, then detection capability is improved, but privacy intrusion increases and cost increases
Solution Approach 1:
The patent extracts only the essential motion parameters (velocity and acceleration vectors) from the video images, rather than centralizing and analyzing complete images. This allows fall detection to be performed on extracted motion data locally, maintaining detection capability while avoiding privacy intrusion from centralized image monitoring
Solution Approach 2:
The patent introduces velocity and acceleration vectors as intermediary elements that mediate between the original video images and the fall detection process. These vectors serve as a privacy-preserving representation that retains motion information necessary for fall detection while eliminating personally identifiable visual data
2Reliability
If comprehensive image analysis is performed for fall detection, then detection accuracy is improved, but computing power requirements increase
Solution Approach 1:
The patent extracts only the necessary motion features (velocity and acceleration vectors) from video frames, performing fall detection on this reduced data set rather than analyzing complete images. This extraction approach maintains detection accuracy while significantly reducing computing power requirements
Solution Approach 2:
The patent applies local quality analysis by focusing computational resources on calculating velocity and acceleration vectors at specific points of interest in the scene, rather than performing comprehensive analysis of entire images. This localized approach improves efficiency while maintaining detection accuracy
3Reliability
If traditional fall detection devices are used, then detection function is provided, but device complexity and installation difficulty increase
Solution Approach 1:
The patent enables standard video cameras to perform fall detection by processing video streams through the velocity and acceleration vector analysis method. This multi-functional approach allows ordinary imaging devices to provide both visual monitoring and fall detection capabilities, eliminating the need for specialized complex devices
Solution Approach 2:
The system performs fall detection automatically through algorithmic analysis of video streams without requiring manual intervention or complex device configuration. The automated processing of velocity and acceleration vectors enables the system to serve itself, reducing installation and operational complexity
Data Source
AI summary
A method for detecting a fall of a person by analysis of a stream of video images originating from an image capture device, including: acquisition of successive images of a determined scene; selection of at least one point of the scene in the images; determination of the movement of each point selected by analysis of the displacement of the point in the successive images in the form of a temporal succession of vectors oriented proportionally to the instantaneous velocity of the movement of the point; computation of the instantaneous acceleration of each point associated with each vector representing the instantaneous velocity; detection of a fall when the determined instantaneous velocity is above a predefined threshold velocity and the instantaneous acceleration is above a predefined threshold acceleration.