Publications:Hand Detection and Gesture Recognition Using Symmetric Patterns
From ISLAB/CAISR
| Title | Hand Detection and Gesture Recognition Using Symmetric Patterns |
|---|---|
| Author | Hassan Mashad Nemati and Yuantao Fan and Fernando Alonso-Fernandez |
| Year | 2016 |
| PublicationType | Journal Paper |
| Journal | Studies in Computational Intelligence |
| HostPublication | |
| Conference | 8th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2016), Da Nang, Vietnam, 14–16 March, 2016 |
| DOI | http://dx.doi.org/10.1007/978-3-319-31277-4_32 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:914141 |
| Abstract | Hand detection and gesture recognition is one of the challenging issues in human-robot interaction. In this paper we proposed a novel method to detect human hands and recognize gestures from video stream by utilizing a family of symmetric patterns: log-spiral codes. In this case, several log-family spirals mounted on a hand glove were extracted and utilized for positioning the palm and fingers. The proposed method can be applied in real time and even on a low quality camera stream. The experiments are implemented in different conditions to evaluatethe illumination, scale, and rotation invariance of the proposed method. The results show that using the proposed technique we can have a precise and reliable detection and tracking of the hand and fingers with accuracy about 98 %. |
