| Summary: | 碩士 === 國立臺北科技大學 === 機電整合研究所 === 100 === In this thesis we use shape memory alloys to drive a electronic hand, combined with the EMG signal to identify the command, and then develop an EMG controlled prosthetic hand system. There are two parts in the overall system architecture, including the shape memory alloy hand, and EMG signals to identify the commands using a PC and the NI-CompactRIO system. The first part describes the architecture
of the artificial prosthetic hand, including the joint mobility and the way how shape memory alloys drive the fingers; the second part considers the forelimb muscle
structure of a human arm with surface electrodes attached for EMG signal acquisitions, which is then processed by signal amplification, filtering, rectification,
and other steps. To extract features of EMG signals, six characteristic parameters are used, and support vector machine is employed for hand gesture classification. This
study not only confirmed the possibility of using shape memory alloys to replace the motor, but also verified the feasibility and effectiveness of the developed EMG driven
SMA prosthetic hand.
|
|---|
