Upper Limb
Upper limb research focuses on understanding and improving its function, particularly in rehabilitation after injury or disease. Current efforts concentrate on developing robotic assistive devices and rehabilitation systems, employing control algorithms like admittance-type Virtual Fixtures and Implicit Euler velocity control, along with advanced sensor technologies (e.g., RGBD cameras, accelerometers, EMG) for accurate movement analysis and feedback. These advancements aim to enhance rehabilitation outcomes, improve objective assessment of motor function, and enable more effective and personalized therapies, both in clinical and home settings.
Papers
Unobtrusive Monitoring of Physical Weakness: A Simulated Approach
Chen Long-fei, Muhammad Ahmed Raza, Craig Innes, Subramanian Ramamoorthy, Robert B. Fisher
Real-time, accurate, and open source upper-limb musculoskeletal analysis using a single RGBD camera
Amedeo Ceglia, Kael Facon, Mickaël Begon, Lama Seoud