Comparison study of Hidden Markov Model gesture recognition using fixed state and variable state

Comparison study of Hidden Markov Model gesture recognition using fixed state and variable state

This paper presents a method of gesture recognition using Hidden Markov Model (HMM). Gesture itself is based on the movement of each right hand (RH) and left hand (LH), which represents the word intended by the signer. The feature vector selected, gesture path, hand distance and hand orientations ar...

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Bibliographic Details
Main Authors: Yona Falinie A Gaus, Farrah Wong, Teo, Kenneth Tze Kin, Renee Chin, Rosalyn R Porle, Lim, Pei Yi, Ali Chekima
Format: Conference or Workshop Item
Language:en
Published: 2013
Subjects:
QA Mathematics
Online Access:https://eprints.ums.edu.my/id/eprint/14999/1/Comparison_study_of_Hidden_Markov_Model_gesture_recognition_using_fixed_state_and_variable_state.pdf
https://eprints.ums.edu.my/id/eprint/14999/
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https://eprints.ums.edu.my/id/eprint/14999/1/Comparison_study_of_Hidden_Markov_Model_gesture_recognition_using_fixed_state_and_variable_state.pdf
https://eprints.ums.edu.my/id/eprint/14999/

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