{"title":"HMM and NN for Gesture Recognition","authors":"C. Delgado-Mata, Blanca Miriam Lee Cosio","doi":"10.1109/CERMA.2010.18","DOIUrl":null,"url":null,"abstract":"This paper presents the application of Hidden Markov Models and Artificial Neural Networks to recognise trajectory patterns in a Euclidean space from data filtered and parametrised by the Fast Fourier Transform. The data comes from the movement of a device based on accelerometers which is used by the Nintendo Wii.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2010.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents the application of Hidden Markov Models and Artificial Neural Networks to recognise trajectory patterns in a Euclidean space from data filtered and parametrised by the Fast Fourier Transform. The data comes from the movement of a device based on accelerometers which is used by the Nintendo Wii.
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