Human and dog movement recognition using fuzzy inference system with automatically generated membership functions
© 2017 IEEE. In this paper, the simple movement (walking dog, crawling human, and walking human) recognition system using the Mamdani fuzzy inference system is introduced. The membership functions of each input feature are generated automatically without experts' prior knowledges. The system pr...
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th-cmuir.6653943832-436782018-04-25T07:21:18Z Human and dog movement recognition using fuzzy inference system with automatically generated membership functions Chukit Ruanpeng Sansanee Auephanwiriyakul Nipon Theera-Umpon Computer Science Mathematics Agricultural and Biological Sciences © 2017 IEEE. In this paper, the simple movement (walking dog, crawling human, and walking human) recognition system using the Mamdani fuzzy inference system is introduced. The membership functions of each input feature are generated automatically without experts' prior knowledges. The system produces a very high recognition rate, i.e., 93.97%, on the validation set of the cross validation. However, there are some misclassifications between walking dog and crawling human classes. The misclassifications are mainly from the incomplete segmentation of the objects of interest. 2018-01-24T03:51:59Z 2018-01-24T03:51:59Z 2017-08-23 Conference Proceeding 10987584 2-s2.0-85030152769 10.1109/FUZZ-IEEE.2017.8015771 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030152769&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43678 |
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Computer Science Mathematics Agricultural and Biological Sciences Chukit Ruanpeng Sansanee Auephanwiriyakul Nipon Theera-Umpon Human and dog movement recognition using fuzzy inference system with automatically generated membership functions |
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© 2017 IEEE. In this paper, the simple movement (walking dog, crawling human, and walking human) recognition system using the Mamdani fuzzy inference system is introduced. The membership functions of each input feature are generated automatically without experts' prior knowledges. The system produces a very high recognition rate, i.e., 93.97%, on the validation set of the cross validation. However, there are some misclassifications between walking dog and crawling human classes. The misclassifications are mainly from the incomplete segmentation of the objects of interest. |
format |
Conference Proceeding |
author |
Chukit Ruanpeng Sansanee Auephanwiriyakul Nipon Theera-Umpon |
author_facet |
Chukit Ruanpeng Sansanee Auephanwiriyakul Nipon Theera-Umpon |
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Chukit Ruanpeng |
title |
Human and dog movement recognition using fuzzy inference system with automatically generated membership functions |
title_short |
Human and dog movement recognition using fuzzy inference system with automatically generated membership functions |
title_full |
Human and dog movement recognition using fuzzy inference system with automatically generated membership functions |
title_fullStr |
Human and dog movement recognition using fuzzy inference system with automatically generated membership functions |
title_full_unstemmed |
Human and dog movement recognition using fuzzy inference system with automatically generated membership functions |
title_sort |
human and dog movement recognition using fuzzy inference system with automatically generated membership functions |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030152769&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43678 |
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