Yu-Jie Chou

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Yu-Jie Chou is a researcher whose work sits at the intersection of computer vision, healthcare technology, and human-computer interaction. Their primary research focus is on developing intelligent, accessible systems for remote rehabilitation and movement analysis, with a particular emphasis on aiding patients with neurological conditions. Chou’s most notable contribution is the development of an OpenPose-based rehabilitation assistance system for Parkinson’s disease patients. This system, detailed in their 2022 paper, was designed to address the critical gap in care during the COVID-19 pandemic, when many patients were forced to rehabilitate at home without professional supervision. By leveraging pose estimation technology, the system provides real-time feedback on rehabilitation actions, enabling safe and effective self-guided therapy. This work has already garnered attention within the field, accumulating 4 citations and demonstrating its relevance to pressing healthcare challenges. Chou’s research exemplifies how computer vision can be harnessed to create practical, low-cost solutions that improve patient outcomes and accessibility, marking them as an emerging voice in the growing field of AI-assisted rehabilitation.