A Real Time Hand Gesture Recognition System Based on DFT and SVM
學年 100
學期 2
發表日期 2012-06-26
作品名稱 A Real Time Hand Gesture Recognition System Based on DFT and SVM
作品名稱（其他語言）
著者 Hsieh, Ching-tang; Yeh, Cheng-hsiang; Hung, Kuo-ming; Chen, Ting-wen; Ke, Chin-yen
作品所屬單位 淡江大學電機工程學系
出版者 Advanced Institute of Convergence Information Technology
會議名稱 Information Science and Digital Content Technology (ICIDT), 2012 8th International Conference on
會議地點 Jeju, Korean
摘要 Vision based band gesture recognition provides a more nature and powerful means for human-computer interaction. A fast detection process of hand gesture and an effective feature extraction process are presented. The proposed a hand gesture recognition algorithm comprises four main steps. First use Camshift algorithm to track skin color after closing process. Second,in order to extract feature, we use BEA to extract the boundary of the hand. Third, the benefits of Fourier descriptor are invariance to the starting point of the boundary, deformation, and rotation, and therefore transform the starting point of the boundary by Fourier transformation. Finally, outline feature for the nonlinear non-separable type of data was classified by using SVM. Experimental results showed the accuracy is 93.4% in average and demonstrated the feasibility of proposed system.
關鍵字 Camshift;BEA;SVM;Hand Gesture Recognition
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20120626~20120628
通訊作者
國別 KOR
公開徵稿 Y
出版型式 電子版
出處 Information Science and Digital Content Technology (ICIDT), 2012 8th International Conference on, pp.490-494
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