The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy
E. Dolatabadi, Y. Zhi, B. Ye, M. Coahran, G. Lupinacci, A. Mihailidisi, R. Wangi, B. Taatii
3D pose estimates of people undergoing stroke rehabilitation and healthy controls is collected to help build an automated model that can predict the effectiveness of a rehabilitation exercise. Kinect sensor data of subjects performing tasks with a robotic stroke rehabilitation device and the joint data was recorded along with the common clinical assessment scores.
Tags:
strokeStroke rehabilitation