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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Main Authors:	Chukit Ruanpeng, Sansanee Auephanwiriyakul, Nipon Theera-Umpon
Format:	Conference Proceeding
Published:	2018
Subjects:	Computer Science Mathematics
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030152769&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57070
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-57070
record_format	dspace
spelling	th-cmuir.6653943832-570702018-09-05T03:44:38Z Human and dog movement recognition using fuzzy inference system with automatically generated membership functions Chukit Ruanpeng Sansanee Auephanwiriyakul Nipon Theera-Umpon Computer Science Mathematics © 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. 2018-09-05T03:34:33Z 2018-09-05T03:34:33Z 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/6653943832/57070
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science Mathematics
spellingShingle	Computer Science Mathematics Chukit Ruanpeng Sansanee Auephanwiriyakul Nipon Theera-Umpon Human and dog movement recognition using fuzzy inference system with automatically generated membership functions
description	© 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
author_sort	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
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030152769&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57070
_version_	1681424810159112192

Human and dog movement recognition using fuzzy inference system with automatically generated membership functions

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