| A Real Time Hand Gesture Recognition System Based on DFT and SVM | |
|---|---|
| 學年 | 101 |
| 學期 | 1 |
| 出版（發表）日期 | 2013-01-01 |
| 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 | Chen, Wen-Her; Hsieh, Ching-Tang; Liu, Tsun-Te |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Stafa-Zurich: Trans Tech Publications Ltd. |
| 著錄名稱、卷期、頁數 | Applied Mechanics and Materials 284-287, pp.3004-3009 |
| 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 Cam-shift 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 | BEA; Camshift; Hand Gesture Recognition; Support Vector Machine; SVM |
| 語言 | en |
| ISSN | 1660-9336 1662-7482 |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | Hsieh, Ching-Tang |
| 審稿制度 | 是 |
| 國別 | CHE |
| 公開徵稿 | |
| 出版型式 | 電子版 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/93444 ) |
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