Upper Limb Motor Capacity Assessment System after Stroke
Stroke is a high incidence of neurological dysfunction caused by rupture or blockage of blood vessels in the brain,which has become one of the major fatal and disabling diseases in China.Traditional upper limb motor capacity assessment methods are limited by the high cost and wearing complexity of contact devices,and quantitative assessment using non-contact visual methods has become the focus of research.In this paper,we designed and realized the Upper Limb Motor Capacity Assessment System After Stroke(ULMCASAS)based on YOLOv5 target detection model,discussed the current situation and significance of the assessment of upper limb motor capacity after stroke,talked about the design process of the ULMCASAS,and tested the ULMCASAS,and then made an outlook on the shortcomings and modification direction of the ULMCASAS.