Hand Gesture Recognition System with Real-Time Palm Tracking

被引：0
|
作者：
Hussain, Imran [1 ]
Talukdar, Anjan Kumar [1 ]
Sarma, Kandarpa Kumar [1 ]
机构：
[1] Gauhati Univ, Dept Elect & Commun Engn, Gauhati 781014, India
来源：
2014 ANNUAL IEEE INDIA CONFERENCE (INDICON) | 2014年
关键词：
American Sign language (ASL); human computer interface (HCI); hue-saturation-value model (HSV); convex-hull; fingertips detection; optical flow; movement epenthesis (ME); principal component analysis (PCA);
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Over the years Vision based real time gesture recognition system has witnessed an exponential growth because of its manifoldness applications, ranging from sign language to virtual reality and its ability to interact with system efficiently through HCI. In this paper, we have proposed a hand gesture recognition system for Ameriacn Sign Language recognition using important features of hand such as fingertips, palm center etc.. The system is capable of recognizing hand gestures even when the fore-arm is involved and it can tolerate a certain rotation of palm and fore-arm. We have implemented principal component analysis to remove ambiguity between two similar types of gestures and given emphasis to detect movement epenthesis by means optical flow technique.
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页数：6
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