TY - GEN
T1 - HMM based hand gesture recognition
T2 - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
AU - Moni, M. A.
AU - Shawkat Ali, A. B.M.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Hand gesture recognition
KW - Hidden markov model
KW - Sign language recognition
UR - http://www.scopus.com/inward/record.url?scp=70449094044&partnerID=8YFLogxK
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U2 - 10.1109/ICCSIT.2009.5234536
DO - 10.1109/ICCSIT.2009.5234536
M3 - Conference paper
AN - SCOPUS:70449094044
SN - 9781424445196
T3 - Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
SP - 433
EP - 437
BT - Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
Y2 - 8 August 2009 through 11 August 2009
ER -