A Neural-Network-Based Approach to Recognizing 3D Arm Movement | |
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學年 | 91 |
學期 | 2 |
出版(發表)日期 | 2003-02-01 |
作品名稱 | A Neural-Network-Based Approach to Recognizing 3D Arm Movement |
作品名稱(其他語言) | |
著者 | Su, Mu-chang; Zhao, Yu-xiang; Lai, Eugene |
單位 | 淡江大學電機工程學系 |
出版者 | Singapore: World Scientific Publishing Co. Pte. Ltd. |
著錄名稱、卷期、頁數 | Biomedical Engineering: Applications, Basis and Communications 15(1), pp.17-26 |
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. |
關鍵字 | assistive technology;human-computer interface;gesture recognition;neural network |
語言 | en_US |
ISSN | 1016-2372 1793-7132 |
期刊性質 | 國內 |
收錄於 | EI |
產學合作 | |
通訊作者 | Lai, Eugene |
審稿制度 | 否 |
國別 | TWN |
公開徵稿 | |
出版型式 | ,紙本 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/60824 ) |