ArticleSensors (Basel, Switzerland)2019
A Dynamic Time Warping Based Algorithm to Evaluate Kinect-Enabled Home-Based Physical Rehabilitation Exercises for Older People.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- Effectiveness and Usability of a Novel Kinect-Based Tailored Interactive Fall Intervention System for Fall Prevention in Older People: A Preliminary Study.Frontiers in public health · 2022Trial
- Application of Deep Learning-Based Markerless Pose Estimation in a 3D Exergame System for Knee Osteoarthritis Exercise Management: Development and Preliminary Evaluation.Sensors (Basel, Switzerland) · 2026Article
- Deep learning-based physical exercise assessment of older adults using single-camera videos.PLOS digital health · 2026Article
- Webcam-Based Exergame for Motor Recovery with Physical Assessment via DTW.Sensors (Basel, Switzerland) · 2026Article
- Interpretable Biomechanical Feature Selection for VR Exercise Assessment Using SHAP and LDA.Sensors (Basel, Switzerland) · 2026Article
- A real time action scoring system for movement analysis and feedback in physical therapy using human pose estimation.Scientific reports · 2025Article
- Tai Chi Chuan Auxiliary Training Systems in Health and Rehabilitation: Scoping Review.Journal of medical Internet research · 2025Article
- Group-Based Trajectory Modeling Identifies Distinct Patterns of Sympathetic Hyperactivity Following Traumatic Brain Injury.Neurocritical care · 2025Observational
- Control Method in Coordinated Balance with the Human Body for Lower-Limb Exoskeleton Rehabilitation Robots.Biomimetics (Basel, Switzerland) · 2025Article
- Validating Questionnaires for Lower Limb Rehabilitation Systems and Devices: A Scoping Review.Sports (Basel, Switzerland) · 2025Review
- Assessment of shoulder functional movements through inertial measurement units for tele-rehabilitation: a quaternion-based approach.Frontiers in digital health · 2025Article
- Group based trajectory modeling identifies distinct patterns of sympathetic hyperactivity following traumatic brain injury.Research square · 2024Article
- Sign Language Motion Generation from Sign Characteristics.Sensors (Basel, Switzerland) · 2023Article
- Monocular 3D Human Pose Markerless Systems for Gait Assessment.Bioengineering (Basel, Switzerland) · 2023Article
- The Measure of Motion Similarity for Robotics Application.Sensors (Basel, Switzerland) · 2023Article
- An Improved Kinect Recognition Method for Identifying Unsafe Behaviors of Metro Passengers.Sensors (Basel, Switzerland) · 2022Article
- Rehabilitation Exergames: Use of Motion Sensing and Machine Learning to Quantify Exercise Performance in Healthy Volunteers.JMIR rehabilitation and assistive technologies · 2020Article
- A review of computational approaches for evaluation of rehabilitation exercises.Computers in biology and medicine · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Older people face difficulty engaging in conventional rehabilitation exercises for improving physical functions over a long time period due to the passive nature of the conventional exercise, inconvenience, and cost. This study aims to develop and validate a dynamic time warping (DTW) based algorithm for assessing Kinect-enabled home-based physical rehabilitation exercises, in order to support auto-coaching in a virtual gaming environment. A DTW-based algorithm was first applied to compute motion similarity between two time series from an individual user and a virtual coach. We chose eight bone vectors of the human skeleton and body orientation as the input features and proposed a simple but innovative method to further convert the DTW distance to a meaningful performance score in terms of the percentage (0-100%), without training data and experience of experts. The effectiveness of the proposed algorithm was validated through a follow-up experiment with 21 subjects when playing a Tai Chi exergame. Results showed that the algorithm scores had a strong positive linear relationship (r = 0.86) with experts' ratings and the calibrated algorithm scores were comparable to the gold standard. These findings suggested that the DTW-based algorithm could be effectively used for automatic performance evaluation of an individual when performing home-based rehabilitation exercises.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.