{"title":"基于ERP的汉语拼写系统设计","authors":"Koun-Tem Sun, Tzu-Wei Huang, Min-Chi Chen","doi":"10.1109/BIBE.2011.57","DOIUrl":null,"url":null,"abstract":"This paper presented a brain-computer Chinese Spelling System, which allow the users to spell out Chinese words via his/her brain signals. This system analyzed brain signals by ERPs to find out the subject¡¦s demand. To detect subject¡¦s demand, the flashing phonetic symbols, or Chinese words, were showed in a matrix for subject. The system would totally collected brain signals while matrix flashing, and then analyzed the collected signals by ERPs. Based on analyzed ERPs, the P300 achieved a significant difference between two events, target and non-target, in statistics. Based on the significant difference, the system could detect the subject¡¦s demands and showed the detected phonetic symbols in the monitor. When all the symbols had been selected, the system would automatically spell Chinese words. According to experiment, the accuracy of this system was up to 90 percent. The development of this system provides severe motor disabilities a tool to communicate with external environment.","PeriodicalId":391184,"journal":{"name":"2011 IEEE 11th International Conference on Bioinformatics and Bioengineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Design of Chinese Spelling System Based on ERP\",\"authors\":\"Koun-Tem Sun, Tzu-Wei Huang, Min-Chi Chen\",\"doi\":\"10.1109/BIBE.2011.57\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presented a brain-computer Chinese Spelling System, which allow the users to spell out Chinese words via his/her brain signals. This system analyzed brain signals by ERPs to find out the subject¡¦s demand. To detect subject¡¦s demand, the flashing phonetic symbols, or Chinese words, were showed in a matrix for subject. The system would totally collected brain signals while matrix flashing, and then analyzed the collected signals by ERPs. Based on analyzed ERPs, the P300 achieved a significant difference between two events, target and non-target, in statistics. Based on the significant difference, the system could detect the subject¡¦s demands and showed the detected phonetic symbols in the monitor. When all the symbols had been selected, the system would automatically spell Chinese words. According to experiment, the accuracy of this system was up to 90 percent. The development of this system provides severe motor disabilities a tool to communicate with external environment.\",\"PeriodicalId\":391184,\"journal\":{\"name\":\"2011 IEEE 11th International Conference on Bioinformatics and Bioengineering\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 11th International Conference on Bioinformatics and Bioengineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBE.2011.57\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 11th International Conference on Bioinformatics and Bioengineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2011.57","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presented a brain-computer Chinese Spelling System, which allow the users to spell out Chinese words via his/her brain signals. This system analyzed brain signals by ERPs to find out the subject¡¦s demand. To detect subject¡¦s demand, the flashing phonetic symbols, or Chinese words, were showed in a matrix for subject. The system would totally collected brain signals while matrix flashing, and then analyzed the collected signals by ERPs. Based on analyzed ERPs, the P300 achieved a significant difference between two events, target and non-target, in statistics. Based on the significant difference, the system could detect the subject¡¦s demands and showed the detected phonetic symbols in the monitor. When all the symbols had been selected, the system would automatically spell Chinese words. According to experiment, the accuracy of this system was up to 90 percent. The development of this system provides severe motor disabilities a tool to communicate with external environment.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
