Sit to Stand

Sit-to-stand (StS) transition, a fundamental daily activity, is a key focus of rehabilitation research, particularly for individuals with mobility impairments. Current research emphasizes developing assistive technologies, such as exoskeletons employing various control strategies (including those leveraging machine learning and manifold optimization) to aid in StS movements and quantify performance. These technologies aim to improve therapy effectiveness by providing personalized assistance, enhancing safety, and enabling objective assessment of strength and motor control through sensors and data analysis. This work holds significant potential for improving rehabilitation outcomes and enhancing the quality of life for individuals with mobility challenges.