Sleeping Video Analysis Apparatus for Posture Classification
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Solution Overview
Problem
Users face difficulties in easily grasping lying posture changes of subjects in sleeping videos, which is crucial for sleep disorder treatment and investigation, as existing methods require manual analysis over long periods.
Innovation Solution
A sleeping video analysis method and apparatus that estimates lying postures, classifies them, measures body movements, and displays the results, allowing for easy identification of posture changes and movement analysis without the need for attached sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually analyze sleeping videos to determine lying posture changes, then measurement precision can be maintained, but loss of time increases significantly
Solution Approach 1:
The patent replaces manual mechanical analysis with an automated image processing system that uses computer vision algorithms to detect and classify lying postures. The system processes video frames automatically to generate posture classification results, eliminating the need for manual frame-by-frame analysis while maintaining measurement precision through sophisticated image recognition techniques.
Solution Approach 2:
The patent creates a digital representation (copy) of the lying posture information by generating classified posture data from video frames. Instead of manually examining original video content, the system produces simplified classification results that replicate the essential posture information, enabling rapid analysis without sacrificing accuracy.
2Productivity
If automated posture estimation is implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The patent implements a multi-functional system that performs multiple operations (image acquisition, posture estimation, classification, and result generation) through an integrated apparatus. This universal system handles the entire posture analysis workflow, increasing productivity by eliminating the need for separate manual operations while managing complexity through functional integration.
Solution Approach 2:
The system is designed to operate autonomously, automatically processing video frames and generating posture classification results without requiring continuous human intervention. The automated nature of the system improves productivity by enabling unattended operation, while the self-service capability manages complexity through automated decision-making algorithms.
3Measurement precision
If detailed posture analysis is performed, then measurement precision improves, but ease of operation deteriorates
Solution Approach 1:
The patent extracts essential posture information from complex video data by generating simplified classification results. The system separates the critical posture classification data from the overwhelming raw video content, delivering precise measurement results in an easily consumable format that improves ease of operation while maintaining high measurement precision.
Solution Approach 2:
The system transforms detailed visual posture information into standardized classification parameters (e.g., supine, prone, lateral positions). By converting complex visual data into discrete, categorized parameters, the system achieves both high measurement precision through detailed analysis and ease of operation through simplified result presentation.
Data Source
AI summary
A sleeping video analysis method according to this invention includes a lying posture estimation step (step 311) of estimating a lying posture of a subject (200) while sleeping based on a sleeping video of a subject (200) while sleeping; a lying posture classification step (step 313) of classifying the lying posture based on a lying posture estimation result(s) of the lying posture estimation step (step 311); and a body movement measurement step (step 314) of measuring body movement based on the lying posture estimation result(s) of the lying posture estimation step (311). The sleeping video analysis method includes a display step of displaying at least one of a lying posture classification result(s) and a body movement measurement result(s).