HMM based Hand Gesture Recognition: A Review on Techniques and Approaches
Gesture is one of the most natural and expressive ways of communications between human and computer in a virtual reality system. We naturally use various gestures to express our own intentions in everyday life. Hand gesture is one of the important methods of non-verbal communication for human beings for its freer in movements and much more expressive than any other body parts. Hand gesture recognition has a number of potential applications in humancomputer interaction, machine vision, virtual reality, machine control in industry, and so on. As a gesture is a continuous motion on a sequential time series, the HMMs (Hidden Markov Models) must be a prominent recognition tool. The most important thing in hand gesture recognition is what the input features are that best represent the characteristics of the moving hand gesture.This paper presents part of literature review on ongoing research and findings on different technique and approaches in gesture recognition using HMMs for vision-based approach.
Hand gesture recognition sign language recognition Hidden Markov Model
M. A. MONI A B M Shawkat Ali
Department of Computer Science & Engineering Jatiya Kabi Kazi Nazrul Islam University, Bangladesh School of Computing Science Central Queensland University, Australia
国际会议
北京
英文
2381-2385
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）