{"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}
引用次数: 1
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.