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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yongjing Liu Yixing Yang Lu Wang Jiapeng Xu Hongzhi Qi Xin Zhao Peng Zhou Lixin Zhang Baikun Wan Dong Ming Defang Guo Bin Shi Jun Wang |
| Copyright Year | 2013 |
| Description | Author affiliation: Coll. of Precision Instrum. & Optoelectron. Eng., Tianjin Univ., Tianjin, China (Yongjing Liu; Yixing Yang; Lu Wang; Jiapeng Xu; Hongzhi Qi; Xin Zhao; Peng Zhou; Lixin Zhang; Baikun Wan; Dong Ming) || Qingdao Haier Air Conditioning Electron. Co., Ltd., Qingdao, China (Defang Guo; Bin Shi; Jun Wang) |
| Abstract | The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). However, the number of hand gestures has not been fully explored for HCI application. It is necessary to achieve more gestures as the command of interface. This paper proposed a method to recognize nine different hand gestures. Using camera to get images of people wearing pink gloves, and then preprocess those images by color splitting, morphological processing and edge extraction. Fourier descriptor, edge histogram and boundary moment invariants are three methods of feature extraction. At last, the template matching was used to realize the hand gesture recognition. The average recognition rate of the nine different gestures employing three different methods is 0.859. |
| Starting Page | 465 |
| Ending Page | 470 |
| File Size | 552592 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769550503 |
| DOI | 10.1109/ICIG.2013.102 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Human computer interaction Computers Histograms Shape boundary moment invariants Image edge detection edge histogram fourier descriptor Feature extraction hand gestures pre-processing |
| Content Type | Text |
| Resource Type | Article |
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