Medical Rehabilitation Assessment using Gait Analysis in Video Sequences
Author:
Affiliation:
1. Institute of Computer Science, Romanian Academy Iaşi Branch,Iaşi,Romania
2. Gr. T. Popa University of Medicine and Pharmacy,Faculty of Medical Bioengineering,Iaşi,Romania
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9991246/9991267/09991604.pdf?arnumber=9991604
Reference21 articles.
1. Human 3D pose estimation in a lying position by RGB-D images for medical diagnosis and rehabilitation
2. A Computer Vision System for Virtual Rehabilitation
3. Smart gym trainer using Human pose estimation
4. Human-robot Interaction Method Combining Human Pose Estimation and Motion Intention Recognition
5. Human pose estimation in surveillance videos using temporal continuity on static pose
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1. Integrating 2D and 3D Human Pose Estimation Using Depth Camera in Cardio Exercises;2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST);2024-01-17
2. Gait Segmentation in Video Sequences Analysis for Medical Rehabilitation Assessment;2023 International Symposium on Signals, Circuits and Systems (ISSCS);2023-07-13
3. Medical Rehabilitation Evaluation using Image Processing of Patients’ Gait;2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE);2023-03-23
4. Comparative Analysis of Human Action Recognition Classification for Ambient Assisted Living;Advances in Computational Collective Intelligence;2023
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