An Intelligent Decision Support System for Stroke Rehabilitation Assessment
Min Hun Lee · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)
This student research abstract presents an interactive multimodal machine learning approach for automatically assessing upper-limb stroke rehabilitation exercises and supporting therapist decision-making. Physical rehabilitation is critical for people recovering from stroke to…
stroke rehabilitation · machine learning · human-AI interaction · decision support · motor disability