|Date and Time:
||Feb. 26 (Fri.), 2016, 13:00 – 14:30
||Meeting room #306, Building E-3, UEC
||Dr. Dingguo Zhang (Assoc. Prof., Institute of Robotics, School of Mechanical Engineering, Shanghai Jiao Tong University, China)
||Prof. Yinlai Jiang
||Electromyography (EMG) Applications for Rehabilitation and Prosthesis
||Human-machine interface (HMI) is a multidisciplinary technology that aims to use the physiological signals of human body to control the external device such as robotic hands and prosthetic hands. One of the most important techniques of HMI is electromyography (EMG). The surface electromyographic (sEMG) signal is generated by the electric activity of the muscle fibers active during a contraction, and it can be recorded noninvasively by electrodes attached to the skin. EMG is considered to be an effective input for the control of electrically powered prostheses and rehabilitation devices for amputees and disabled persons, refer to as myoelectric control. One difficult of the myoelectric control is how to map the stochastic noise resembled EMG signal into corresponding commands. This talk will present our recent work on how to design EMG control algorithms and ensure the accuracy of control for multifunctional prosthesis and rehabilitation system of functional electrical stimulation (FES).