| 標題：A Neural-Network-Based Approach to Recognizing 3D Arm Movement |
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| 學年 | 91 |
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| 學期 | 2 |
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| 出版（發表）日期 | 2003/02/01 |
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| 作品名稱 | A Neural-Network-Based Approach to Recognizing 3D Arm Movement |
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| 作品名稱（其他語言） | |
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| 著者 | Su, Mu-chang; Zhao, Yu-xiang; Lai, Eugene |
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| 單位 | 淡江大學電機工程學系 |
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| 出版者 | Singapore: World Scientific Publishing Co. Pte. Ltd. |
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| 著錄名稱、卷期、頁數 | Biomedical Engineering: Applications, Basis and Communications 15(1), pp.17-26 |
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| 摘要 | Gesture recognition is needed for a variety of applications. One particular application of gesture-based systems is to implement a speaking aid for the deaf. Among several factors constituting a hand gesture, the arm movement pattern is one of the most challenging features to recognize. In this paper, we propose a neural-network-based approach to recognition of spatio-tempora patterns of nonlinear 3D arm movements. Compared to Hidden-Markov-Model-based methods, the most appealing property of the proposed method is its simplicity. The effectiveness of this method is evaluated by a database consisted of 10 persons. |
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| 關鍵字 | assistive technology;human-computer interface;gesture recognition;neural network |
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| 語言 | 英文(美國) |
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| ISSN | 1016-2372;1793-7132 |
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| 期刊性質 | 國內 |
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| 收錄於 | EI; |
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| 產學合作 | |
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| 通訊作者 | Lai, Eugene |
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| 審稿制度 | 否 |
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| 國別 | 中華民國 |
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| 公開徵稿 | |
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| 出版型式 | ,紙本 |
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