A virtual reality-based exercise program for stroke rehabilitation
Assets '00 Proceedings of the fourth international ACM conference on Assistive technologies
Low-cost accelerometry-based posture monitoring system for stroke survivors
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Hands-up: motion recognition using kinect and a ceiling to improve the convenience of human life
CHI '12 Extended Abstracts on Human Factors in Computing Systems
AccuMotion: intuitive recognition algorithm for new interactions and experiences for the post-PC era
Proceedings of the 2012 Virtual Reality International Conference
Cyber-physical systems: imminent challenges
Proceedings of the 17th Monterey conference on Large-Scale Complex IT Systems: development, operation and management
Evolutionary joint selection to improve human action recognition with RGB-D devices
Expert Systems with Applications: An International Journal
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This study used Microsoft's Kinect motion sensor to develop an intelligent rehabilitation system. Through discussion with physical therapists at the Kaohsiung County Special Education School, researchers understood that students with physical disabilities typically lack enthusiasm for rehabilitation, hindering their recovery of limb function and ability to care for themselves. Because therapists must simultaneously care for numerous students, there is also a shortage of human resources. Using fieldwork and recommendations by physical therapists, this study applied the proposed system to students with muscle atrophy and cerebral palsy, and assisted them in physical therapy. The system increased their motivation to participate in rehabilitation and enhanced the efficiency of rehab activities, greatly contributing to the recovery of muscle endurance and reducing the workload of therapists.