{"title":"基于多通道ssvep的计算机游戏模拟控制BCI","authors":"C. Wong, Q. Tang, J. R. D. Cruz, F. Wan","doi":"10.1109/CIVEMSA.2015.7158612","DOIUrl":null,"url":null,"abstract":"In this paper, a steady-state visual evoked potential (SSVEP)-based brain computer interface (BCI) system using multiple channel electroencephalography (EEG) signals is designed for computer games that require analogue or continuous control. To this end, a novel scheme combining two SSVEP's features is proposed to control the simulated cart in a relatively continuous and accurate way. More specifically, the phase locking index (PLI) feature is sequentially combined with the standard canonical correlation analysis (CCA)-based frequency detection method, which allows the use of multiple channel EEG signals in this design. To evaluate the proposed design, twenty subjects were invited to play this game three times. The overall results demonstrated that the subjects could control the simulated cart in a relatively continuous way to the expected locations in the game.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"A multi-channel SSVEP-based BCI for computer games with analogue control\",\"authors\":\"C. Wong, Q. Tang, J. R. D. Cruz, F. Wan\",\"doi\":\"10.1109/CIVEMSA.2015.7158612\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a steady-state visual evoked potential (SSVEP)-based brain computer interface (BCI) system using multiple channel electroencephalography (EEG) signals is designed for computer games that require analogue or continuous control. To this end, a novel scheme combining two SSVEP's features is proposed to control the simulated cart in a relatively continuous and accurate way. More specifically, the phase locking index (PLI) feature is sequentially combined with the standard canonical correlation analysis (CCA)-based frequency detection method, which allows the use of multiple channel EEG signals in this design. To evaluate the proposed design, twenty subjects were invited to play this game three times. The overall results demonstrated that the subjects could control the simulated cart in a relatively continuous way to the expected locations in the game.\",\"PeriodicalId\":348918,\"journal\":{\"name\":\"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIVEMSA.2015.7158612\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIVEMSA.2015.7158612","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multi-channel SSVEP-based BCI for computer games with analogue control
In this paper, a steady-state visual evoked potential (SSVEP)-based brain computer interface (BCI) system using multiple channel electroencephalography (EEG) signals is designed for computer games that require analogue or continuous control. To this end, a novel scheme combining two SSVEP's features is proposed to control the simulated cart in a relatively continuous and accurate way. More specifically, the phase locking index (PLI) feature is sequentially combined with the standard canonical correlation analysis (CCA)-based frequency detection method, which allows the use of multiple channel EEG signals in this design. To evaluate the proposed design, twenty subjects were invited to play this game three times. The overall results demonstrated that the subjects could control the simulated cart in a relatively continuous way to the expected locations in the game.