Gesture recognition using Hidden Markov models

69 p.

Bibliographic Details
Main Author: Shubhashree Sangameswaran.
Other Authors: Chan Kap Luk
Format: Thesis
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/39120
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author Shubhashree Sangameswaran.
author2 Chan Kap Luk
author_facet Chan Kap Luk
Shubhashree Sangameswaran.
author_sort Shubhashree Sangameswaran.
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description 69 p.
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spelling ntu-10356/391202023-07-04T16:03:24Z Gesture recognition using Hidden Markov models Shubhashree Sangameswaran. Chan Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 69 p. In this project the aim is to develop a system to recognize a set of gestures using Hidden Markov models. The gestures chosen are 5 movements from Tai Chi. The system can serve as a platform for a complete, real time, interactive gesture recognition system with feedback. Tai Chi is a popular martial arts form in China. Features are extracted for a set of chosen moves, known as the training set and Hidden Markov models are trained for these gestures. Once training is complete, the model is tested for accuracy and robustness using a new set of input feature vectors, known as the test set. Master of Science (Signal Processing) 2010-05-21T04:44:28Z 2010-05-21T04:44:28Z 2006 2006 Thesis http://hdl.handle.net/10356/39120 application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Shubhashree Sangameswaran.
Gesture recognition using Hidden Markov models
title Gesture recognition using Hidden Markov models
title_full Gesture recognition using Hidden Markov models
title_fullStr Gesture recognition using Hidden Markov models
title_full_unstemmed Gesture recognition using Hidden Markov models
title_short Gesture recognition using Hidden Markov models
title_sort gesture recognition using hidden markov models
topic DRNTU::Engineering::Electrical and electronic engineering
url http://hdl.handle.net/10356/39120
work_keys_str_mv AT shubhashreesangameswaran gesturerecognitionusinghiddenmarkovmodels