{"title":"HMM和NN用于手势识别","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":"{\"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}","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}
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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