Piezoelectric Plate Fall Detection with Video Verification
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Solution Overview
Problem
Existing fall detection methods rely solely on sensor information, which can lead to increased battery consumption, detection errors, and incorrect identification of falls due to movements not resulting from accidents, necessitating a more comprehensive approach to accurately and rapidly detect falls.
Innovation Solution
A fall detection method utilizing electricity information from a piezoelectric plate, video information from an imaging device, and audio information to determine if a fall has occurred, with primary and secondary determinations based on pressure and voice analysis, respectively, to provide accurate and timely alerts to protectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor information is used for fall detection, then fall detection capability is provided, but battery consumption increases and detection accuracy decreases due to false positives from non-fall movements
Solution Approach 1:
The patent combines multiple detection modalities (sensor information, electricity information from piezoelectric plates, video information from imaging devices, and audio information from microphones) into a comprehensive fall detection system. This multi-source information fusion allows the system to cross-validate detections and reduce false positives from non-fall movements while maintaining low battery consumption by using passive detection methods like piezoelectric plates and cameras.
2Measurement precision
If sensor information is used for fall detection, then fall detection is enabled, but detection precision decreases due to incorrect identification of non-fall movements as falls
Solution Approach 1:
The system implements feedback mechanisms where detection results from one modality inform and validate detections from other modalities. For example, when a sensor detects a potential fall, the system cross-checks with electricity information from piezoelectric plates, video footage from imaging devices, and audio recordings from microphones to confirm whether a actual fall occurred, thereby reducing false positives and improving detection precision.
Solution Approach 2:
The patent introduces intermediate verification mechanisms using piezoelectric plates and imaging devices as mediators between the sensor detection and the final fall determination. These intermediaries provide additional layers of validation, ensuring that sensor-detected movements are genuinely falls before triggering alerts, thus improving measurement precision and reducing false positives.
3Measurement precision
If multiple information sources are used for fall detection, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent segments the fall detection system into distinct functional modules: sensor modules for motion detection, piezoelectric plate modules for impact detection, imaging device modules for visual verification, and audio device modules for sound analysis. Each module operates semi-independently and contributes specific types of information to the central processing unit, which integrates all data to make fall determination. This segmentation manages complexity by organizing functions into manageable, specialized components.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This multi-modal approach enhances the accuracy of fall detection, reduces false positives, and ensures timely intervention by incorporating various forms of information, thereby improving the reliability and effectiveness of fall detection systems.
Implementation Method 1
receiving electricity information from a piezoelectric plate disposed adjacent to a bed of a subject
Data Source
AI summary
A fall detection method performed by a fall detection server includes receiving electricity information from a piezoelectric plate disposed adjacent to a bed of a subject, performing a primary determination of whether or not the subject fell from the bed based on the electricity information, and triggering an imaging device to capture an image of a current state of the subject if it is determined that the subject fell, receiving video information including the image of the current state of the subject from the imaging device, and transmitting fall information relating to a fall of the subject to a terminal of the subject, the fall information including one or more of the primary determination result, trigger information of the imaging device, and the video information.