Yao Wang, Kun Li, Xiang Zhang, Jinhai Wang, Ran Wei
{"title":"增强现实技术在SSVEP-BCI中的应用研究","authors":"Yao Wang, Kun Li, Xiang Zhang, Jinhai Wang, Ran Wei","doi":"10.1145/3404555.3404587","DOIUrl":null,"url":null,"abstract":"Visual stimulators play an important role in the steady-state visually evoked potential (SSVEP) brain computer interface (BCI). Traditional displays limit the application of SSVEP-BCI. Augmented reality, as a new pattern of visual stimulator, can be more flexible in the practical applications of SSVEP-BCI. In this study, the stimulus interface was presented by liquid crystal display and HoloLens, respectively. The feasibility experiment was to compared the influence on the acquisition of EEG signals when HoloLens was on and off. The stability experiment compared the flicker of HoloLens with LCD. The feasibility and stability of HoloLens in SSVEP-BCI was proved by the accuracy of SSVEP. First, the accuracy of HoloLens's is consistent with the accuracy of traditional display during the acquisition of EEG signals. It was proved that the application of HoloLens will not affect the acquisition of EEG signals. Second, compared the ARinduced SSVEP with traditional display-induced SSVEP, the accuracy of EEG signal classification in AR environment was 44.27%, 83.85%, 93.23%, 98.44% and 98.44% respectively when the data length was 0.5 s, 1.0 s, 1.5 s, 2.0 s and 2.5 s. The corresponding accuracy rate of the display was 73.44%, 95.31%, 98.44%, 99.48% and 99.48%. There was no difference in accuracy values after 2 seconds. HoloLens can completely replace the traditional display in the application of SSVEP-BCI.","PeriodicalId":220526,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","volume":"171 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Research on the Application of Augmented Reality in SSVEP-BCI\",\"authors\":\"Yao Wang, Kun Li, Xiang Zhang, Jinhai Wang, Ran Wei\",\"doi\":\"10.1145/3404555.3404587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visual stimulators play an important role in the steady-state visually evoked potential (SSVEP) brain computer interface (BCI). Traditional displays limit the application of SSVEP-BCI. Augmented reality, as a new pattern of visual stimulator, can be more flexible in the practical applications of SSVEP-BCI. In this study, the stimulus interface was presented by liquid crystal display and HoloLens, respectively. The feasibility experiment was to compared the influence on the acquisition of EEG signals when HoloLens was on and off. The stability experiment compared the flicker of HoloLens with LCD. The feasibility and stability of HoloLens in SSVEP-BCI was proved by the accuracy of SSVEP. First, the accuracy of HoloLens's is consistent with the accuracy of traditional display during the acquisition of EEG signals. It was proved that the application of HoloLens will not affect the acquisition of EEG signals. Second, compared the ARinduced SSVEP with traditional display-induced SSVEP, the accuracy of EEG signal classification in AR environment was 44.27%, 83.85%, 93.23%, 98.44% and 98.44% respectively when the data length was 0.5 s, 1.0 s, 1.5 s, 2.0 s and 2.5 s. The corresponding accuracy rate of the display was 73.44%, 95.31%, 98.44%, 99.48% and 99.48%. There was no difference in accuracy values after 2 seconds. HoloLens can completely replace the traditional display in the application of SSVEP-BCI.\",\"PeriodicalId\":220526,\"journal\":{\"name\":\"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence\",\"volume\":\"171 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3404555.3404587\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3404555.3404587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Application of Augmented Reality in SSVEP-BCI
Visual stimulators play an important role in the steady-state visually evoked potential (SSVEP) brain computer interface (BCI). Traditional displays limit the application of SSVEP-BCI. Augmented reality, as a new pattern of visual stimulator, can be more flexible in the practical applications of SSVEP-BCI. In this study, the stimulus interface was presented by liquid crystal display and HoloLens, respectively. The feasibility experiment was to compared the influence on the acquisition of EEG signals when HoloLens was on and off. The stability experiment compared the flicker of HoloLens with LCD. The feasibility and stability of HoloLens in SSVEP-BCI was proved by the accuracy of SSVEP. First, the accuracy of HoloLens's is consistent with the accuracy of traditional display during the acquisition of EEG signals. It was proved that the application of HoloLens will not affect the acquisition of EEG signals. Second, compared the ARinduced SSVEP with traditional display-induced SSVEP, the accuracy of EEG signal classification in AR environment was 44.27%, 83.85%, 93.23%, 98.44% and 98.44% respectively when the data length was 0.5 s, 1.0 s, 1.5 s, 2.0 s and 2.5 s. The corresponding accuracy rate of the display was 73.44%, 95.31%, 98.44%, 99.48% and 99.48%. There was no difference in accuracy values after 2 seconds. HoloLens can completely replace the traditional display in the application of SSVEP-BCI.