| Summary: | 碩士 === 國立臺北科技大學 === 機電整合研究所 === 100 === This thesis main topic is to build a system of SMA-driven cyberhand, which includes the SMA design, mechanical design, EMG signal acquisition, and artificial neural network and Hilbert Hung Transform. First of all, we introduce the principle and characteristic of SMA. We also introduce how does it work and what type of SMA we choose. Second, we introduce mechanism design and the mobility of every finger. The working principle of SMA inside the cyberhand will also be shown. Third, we introduce the muscle tissue of front hand; where we stick surface electrodes; and the EMG signal processing methods, that involves signal amplifier, filter, and rectification for obtaining pure EMG signals. Fourth part is to apply neural network and Hilbert Huang Transform to discriminate different hand gestures, when the pure EMG signals are being inputted to the controller. We compare the recognition rates between using HHT and without using HHT for EMG signal conditioning.
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