{"title":"静音语音解码器采用自适应采集","authors":"M. Matsumoto","doi":"10.1145/2559184.2559190","DOIUrl":null,"url":null,"abstract":"We investigated a classification method using brain computer interfaces (BCIs) for silent speech. Event-related potentials (ERPs) obtained when four subjects imagined the vocalization of two Japanese vowels while they remained silent and immobilized were recorded. We used an adaptive collection (AC) that adaptively selects suitable output signals of common spatial patterns (CSP) filters and its time duration for classification. The classification accuracies (CAs) were 73-92% for the pairwise classification /a/ vs. /u/ in the use of 63 channels and significantly better than previous study.","PeriodicalId":206452,"journal":{"name":"IUI Companion '14","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Silent speech decoder using adaptive collection\",\"authors\":\"M. Matsumoto\",\"doi\":\"10.1145/2559184.2559190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigated a classification method using brain computer interfaces (BCIs) for silent speech. Event-related potentials (ERPs) obtained when four subjects imagined the vocalization of two Japanese vowels while they remained silent and immobilized were recorded. We used an adaptive collection (AC) that adaptively selects suitable output signals of common spatial patterns (CSP) filters and its time duration for classification. The classification accuracies (CAs) were 73-92% for the pairwise classification /a/ vs. /u/ in the use of 63 channels and significantly better than previous study.\",\"PeriodicalId\":206452,\"journal\":{\"name\":\"IUI Companion '14\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IUI Companion '14\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2559184.2559190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IUI Companion '14","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2559184.2559190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
研究了一种基于脑机接口(bci)的无声言语分类方法。记录了4名被试在静止不动状态下想象两个日语元音发声时的事件相关电位(event - associated potential, ERPs)。我们使用自适应采集(AC)，自适应地选择合适的公共空间模式(CSP)滤波器的输出信号及其持续时间进行分类。在63个通道中，/a/ vs /u/两两分类的分类准确率(CAs)为73 ~ 92%，明显优于前人的研究。
We investigated a classification method using brain computer interfaces (BCIs) for silent speech. Event-related potentials (ERPs) obtained when four subjects imagined the vocalization of two Japanese vowels while they remained silent and immobilized were recorded. We used an adaptive collection (AC) that adaptively selects suitable output signals of common spatial patterns (CSP) filters and its time duration for classification. The classification accuracies (CAs) were 73-92% for the pairwise classification /a/ vs. /u/ in the use of 63 channels and significantly better than previous study.
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