Non-verbal Natural Interactive Human Intention Estimation Using Time-varying Fuzzy Markov Models
碩士 === 淡江大學 === 電機工程學系碩士班 === 100 === The estimation of human intention for robot decision mechanism is the ultimate goal of this thesis. The human decision mechanism most information to exist the non-verbal language in the human communication. If the human robot interaction via the human intention...
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ndltd-TW-100TKU054420142015-10-13T21:27:33Z http://ndltd.ncl.edu.tw/handle/62844575681044861638 Non-verbal Natural Interactive Human Intention Estimation Using Time-varying Fuzzy Markov Models 時變模糊馬可夫模型於非語言自然互動之人類意向估測 Chang-En Yang 楊長恩 碩士 淡江大學 電機工程學系碩士班 100 The estimation of human intention for robot decision mechanism is the ultimate goal of this thesis. The human decision mechanism most information to exist the non-verbal language in the human communication. If the human robot interaction via the human intention of non-verbal language estimation and analysis the information then the robot decision mechanism will be similarity the human thinking and reaction. Therefore, we propose time-varying fuzzy Markov model to estimate the human intention of meaning of posture. We will via MATLAB simulation the intention states of the hands touch body location purport the intention probability of behavior and emphasize the time-varying model into the intention inference system will be better then time-invariant inference system, because the human thinking will be varies with time. In this thesis, we establish a time-varying fuzzy Markov model to estimate human intention for natural non-verbal human robot interface. Based on human posture information, we change the probability between states to improve the accuracy of estimation of human intention. The advantages of the approach are three fold: i) non-verbal information is core of natural interaction; ii) time-varying probability improves estimation accuracy; and iii) fuzzy inference consider practical human experience. Peter Liu 劉寅春 2012 學位論文 ; thesis 57 en_US |
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碩士 === 淡江大學 === 電機工程學系碩士班 === 100 === The estimation of human intention for robot decision mechanism is the ultimate goal of this thesis. The human decision mechanism most information to exist the non-verbal language in the human communication. If the human robot interaction via the human intention of non-verbal language estimation and analysis the information then the robot decision mechanism will be similarity the human thinking and reaction. Therefore, we propose time-varying fuzzy Markov model to estimate the human intention of meaning of posture. We will via MATLAB simulation the intention states of the hands touch body location purport the intention probability of behavior and emphasize the time-varying model into the intention inference system will be better then time-invariant inference system, because the human thinking will be varies with time. In this thesis, we establish a time-varying fuzzy Markov model to estimate human intention for natural non-verbal human robot interface. Based on human posture information, we change the probability between states to improve the accuracy of estimation of human intention. The advantages of the approach are three fold: i) non-verbal information is core of natural interaction; ii) time-varying probability improves estimation accuracy; and iii) fuzzy inference consider practical human experience.
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author2 |
Peter Liu |
author_facet |
Peter Liu Chang-En Yang 楊長恩 |
author |
Chang-En Yang 楊長恩 |
spellingShingle |
Chang-En Yang 楊長恩 Non-verbal Natural Interactive Human Intention Estimation Using Time-varying Fuzzy Markov Models |
author_sort |
Chang-En Yang |
title |
Non-verbal Natural Interactive Human Intention Estimation Using Time-varying Fuzzy Markov Models |
title_short |
Non-verbal Natural Interactive Human Intention Estimation Using Time-varying Fuzzy Markov Models |
title_full |
Non-verbal Natural Interactive Human Intention Estimation Using Time-varying Fuzzy Markov Models |
title_fullStr |
Non-verbal Natural Interactive Human Intention Estimation Using Time-varying Fuzzy Markov Models |
title_full_unstemmed |
Non-verbal Natural Interactive Human Intention Estimation Using Time-varying Fuzzy Markov Models |
title_sort |
non-verbal natural interactive human intention estimation using time-varying fuzzy markov models |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/62844575681044861638 |
work_keys_str_mv |
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