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A Dynamic Time Warping Based Algorithm to Evaluate Kinect-Enabled Home-Based Physical Rehabilitation Exercises for
1Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.
Sensors (Basel, Switzerland)
|July 3, 2019
Summary
This study introduces a dynamic time warping (DTW) algorithm for assessing home-based physical rehabilitation exercises using Kinect. The algorithm provides accurate performance scores, enabling effective auto-coaching in virtual environments.
Area of Science:
- Rehabilitation Medicine
- Computer Science
- Biomedical Engineering
Background:
- Conventional rehabilitation exercises pose challenges for older adults due to their passive nature, inconvenience, and cost.
- Home-based physical rehabilitation offers a potential solution but lacks effective, automated performance assessment tools.
- Kinect-enabled systems and virtual gaming environments present opportunities for engaging and accessible rehabilitation.
Purpose of the Study:
- To develop and validate a dynamic time warping (DTW) based algorithm for assessing Kinect-enabled home-based physical rehabilitation exercises.
- To enable automated coaching within a virtual gaming environment for improved adherence and outcomes.
- To create a scoring system that provides meaningful, percentage-based performance feedback without requiring expert data.
Main Methods:
- A dynamic time warping (DTW) algorithm was employed to compute motion similarity between user and virtual coach time series.
- Eight bone vectors and body orientation were used as input features for the algorithm.
- A novel method converted DTW distances into a 0-100% performance score, independent of training data or expert input.
Main Results:
- The algorithm demonstrated strong positive linear correlation (r = 0.86) with expert ratings in a Tai Chi exergame study.
- Calibrated algorithm scores showed comparability to the gold standard in performance evaluation.
- The system successfully provided automatic performance evaluation for 21 subjects during home-based exercises.
Conclusions:
- The developed DTW-based algorithm is effective for automatic performance evaluation in home-based rehabilitation.
- This technology supports auto-coaching in virtual gaming environments, addressing limitations of conventional rehabilitation.
- The algorithm offers a cost-effective and convenient solution for monitoring physical function improvement in older adults.
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