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標題Title: Hand Motion Identification Using Independent Component Analysisof Data Glove and Multichannel Surface EMG
作者Authors: 陳培展,Ming-Wen Chang..等
上傳單位Department: 電機工程系
上傳時間Date: 2015-6-22
上傳者Author: 陳培展
審核單位Department: 電機工程系
審核老師Teacher: 陳培展
檔案類型Categories: 研討會報告Seminar Report
關鍵詞Keyword: Independent Component Analysis,Hand Motion Identification,Data Glove
摘要Abstract: The applications of hand motion identification (HMI) have been widely used for prosthetic control, remote control of home appliances, Human Computer interaction (HCI).. In this study, we used five bend sensors mounted on a data glove with bend sensors as signal sources for finger motions identification. In addition, Independent component analysis (ICA) has been demonstrated that could extract independent components from multi-channel EMG that are corresponding to specific muscle groups not only dimensionality reduction of required computation data for identification hand motion.

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2015_6_4eeeab14.pptx 820Kb pptx 52 1
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