J. J. Rubio, Carlos Aviles, R. Coello, Jose Francisco Cruz, Hector Rivero
{"title":"眼球运动的模式识别","authors":"J. J. Rubio, Carlos Aviles, R. Coello, Jose Francisco Cruz, Hector Rivero","doi":"10.1109/ESDIS.2009.4938997","DOIUrl":null,"url":null,"abstract":"In this paper, the signals of two eye movements (up an down) where taken with a MINDSET MS-100 system. A modified adaline, the multilayer neural network and the radial basis function networks where compared for pattern recognition of the two eye movements, giving that the modified adaline and the multilayer neural networks have the best behavior.","PeriodicalId":257215,"journal":{"name":"2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Pattern recognition of eye movements\",\"authors\":\"J. J. Rubio, Carlos Aviles, R. Coello, Jose Francisco Cruz, Hector Rivero\",\"doi\":\"10.1109/ESDIS.2009.4938997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the signals of two eye movements (up an down) where taken with a MINDSET MS-100 system. A modified adaline, the multilayer neural network and the radial basis function networks where compared for pattern recognition of the two eye movements, giving that the modified adaline and the multilayer neural networks have the best behavior.\",\"PeriodicalId\":257215,\"journal\":{\"name\":\"2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESDIS.2009.4938997\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESDIS.2009.4938997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, the signals of two eye movements (up an down) where taken with a MINDSET MS-100 system. A modified adaline, the multilayer neural network and the radial basis function networks where compared for pattern recognition of the two eye movements, giving that the modified adaline and the multilayer neural networks have the best behavior.
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