Rehabilitation Movement Analysis Using Image Processing
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Solution Overview
Problem
Current rehabilitation technologies primarily focus on evaluating movement but lack the capability to effectively assist rehabilitation efforts by providing actionable insights for improving rehabilitation processes.
Innovation Solution
A movement information generation apparatus that processes images to generate first movement information and compares it with comparison movement information, outputting information on differences to assist rehabilitation by determining rehabilitation progress and recommending subsequent movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only movement evaluation is provided, then the evaluation capability is achieved, but the ability to assist rehabilitation appropriately is insufficient
Solution Approach 1:
The system segments the movement analysis into multiple dimensions: first movement information from current images, second movement information from historical images, and difference information representing rehabilitation progress. This segmentation allows comprehensive rehabilitation assistance while maintaining clear information organization.
Solution Approach 2:
The system performs preliminary action by acquiring and processing historical movement images before the current evaluation. This allows the system to prepare comparison data in advance, enabling meaningful rehabilitation progress assessment when current movement is evaluated.
2Measurement precision
If movement evaluation is performed without comparison, then processing simplicity is maintained, but rehabilitation progress assessment is insufficient
Solution Approach 1:
Historical movement images are acquired and processed in advance to generate second movement information before current evaluation. This preliminary processing enables rapid comparison with current movement, reducing real-time processing time while improving measurement precision through trend analysis.
Solution Approach 2:
The system creates a copy of historical movement data (second movement information) that can be quickly compared with current movement information. This copying approach allows efficient temporal comparison without reprocessing original historical images, saving time while maintaining measurement precision.
3Loss of information
If only current movement is analyzed, then processing simplicity is maintained, but actionable insights for rehabilitation improvement are lacking
Solution Approach 1:
The analysis is segmented into current movement assessment (first movement information) and temporal trend assessment (difference between first and second movement information). This segmentation provides actionable rehabilitation insights by showing both current state and progress trajectory, while organizing complexity into manageable processing stages.
Solution Approach 2:
The system implements feedback by comparing current movement with historical movement to generate difference information that indicates rehabilitation progress. This feedback mechanism provides actionable insights for adjusting rehabilitation plans, showing whether movements are improving over time and guiding subsequent training decisions.
Data Source
AI summary
A movement information generation apparatus (10) is an apparatus that assists rehabilitation carried out by a subject, and includes an image processing unit (120) and an output unit (130). The image processing unit (120) generates first movement information indicating movement of the subject at first timing by processing a first image acquired by capturing the subject at the first timing. The output unit (130) determines a difference between the first movement information and comparison movement information indicating movement being a comparison target, and outputs output information being information relating to the difference.