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...

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Bibliographic Details
Published in:2009 2nd IEEE International Conference on Computer Science and Information Technology pp. 433 - 437
Main Authors: Moni, M.A., Ali, A.B.M.S.
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2009
Subjects:
Australia
Cameras
Character recognition
Hand gesture recognition
Handicapped aids
Hidden Markov Model
Hidden Markov models
Humans
Image recognition
Natural languages
sign language recognition
Virtual reality
Vocabulary
ISBN:1424445191, 9781424445196
Online Access:Get full text
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Summary: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 human-computer 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.
ISBN:1424445191
9781424445196
DOI:10.1109/ICCSIT.2009.5234536