會議論文

學年 86
學期 2
發表日期 1998-05-04
作品名稱 Application of neural networks in spatio-temporal hand gesture recognition
作品名稱(其他語言)
著者 蘇木春; Su, Mu-chun; Huang, Hi; Lin, Chia-hsien; Huang, Chen-lee; Lin, Chi-da
作品所屬單位 淡江大學電機工程學系
出版者 Institute of Electrical and Electronics Engineers (IEEE)
會議名稱 Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
會議地點 Anchorage, AK, USA
摘要 Several successful approaches to spatio-temporal signal processing such as speech recognition and hand gesture recognition have been proposed. Most of them involve time alignment which requires substantial computation and considerable memory storage. In this paper, we present a neural-network-based approach to spatio-temporal pattern recognition. This approach employs a powerful method based on hyperrectangular composite neural networks (HRCNNs) for selecting templates, therefore, considerable memory is alleviated. In addition, it greatly reduces substantial computation in the matching process because it obviates time alignment. Two databases consisted of 51 spatio-temporal hand gestures were utilized for verifying its performance. An encouraging experimental result confirmed the effectiveness of the proposed method.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 19980504~19980509
通訊作者
國別 USA
公開徵稿
出版型式 紙本
出處 Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on (Volume:3 ), pp.2116-2121
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