{"title":"基于稳态视觉诱发电位(SSVEP)的脑机接口转运体运动可能性研究","authors":"Arkadiusz Kubacki, A. Jakubowski, D. Rybarczyk","doi":"10.1109/MMAR.2017.8046827","DOIUrl":null,"url":null,"abstract":"This paper presents the research on the possibility of transporter movement with the use of SSVEP based on a brain-computer interface (BCI). In the first paragraph, the authors present general information about human-computer communication. The next chapter concerns theoretical background about BCI based on EEG. The authors present a method how to place electrodes during an EEG and a general classification of BCI. The current state of knowledge about SSVEP (Steady-State Visually Evoked Potential) is presented. In the next paragraph concerns used equipment and software, also a block diagram of the program and a description of the test stand. In the last part, the authors described the results of their research on the movement of the transporter in two directions using SSVEP.","PeriodicalId":189753,"journal":{"name":"2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on possibilities of transporter movement using brain-computer interface based on Steady-State Visually Evoked Potential (SSVEP)\",\"authors\":\"Arkadiusz Kubacki, A. Jakubowski, D. Rybarczyk\",\"doi\":\"10.1109/MMAR.2017.8046827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the research on the possibility of transporter movement with the use of SSVEP based on a brain-computer interface (BCI). In the first paragraph, the authors present general information about human-computer communication. The next chapter concerns theoretical background about BCI based on EEG. The authors present a method how to place electrodes during an EEG and a general classification of BCI. The current state of knowledge about SSVEP (Steady-State Visually Evoked Potential) is presented. In the next paragraph concerns used equipment and software, also a block diagram of the program and a description of the test stand. In the last part, the authors described the results of their research on the movement of the transporter in two directions using SSVEP.\",\"PeriodicalId\":189753,\"journal\":{\"name\":\"2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMAR.2017.8046827\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMAR.2017.8046827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on possibilities of transporter movement using brain-computer interface based on Steady-State Visually Evoked Potential (SSVEP)
This paper presents the research on the possibility of transporter movement with the use of SSVEP based on a brain-computer interface (BCI). In the first paragraph, the authors present general information about human-computer communication. The next chapter concerns theoretical background about BCI based on EEG. The authors present a method how to place electrodes during an EEG and a general classification of BCI. The current state of knowledge about SSVEP (Steady-State Visually Evoked Potential) is presented. In the next paragraph concerns used equipment and software, also a block diagram of the program and a description of the test stand. In the last part, the authors described the results of their research on the movement of the transporter in two directions using SSVEP.