{"title":"A literature survey on the contemporary methodologies used in brain computer interface for spelling application","authors":"Subhadeep Karan","doi":"10.1109/ICHCI-IEEE.2013.6887788","DOIUrl":null,"url":null,"abstract":"Brain computer interface (BCI) is a methodology of utilizing the electrophysiological measures or the electroencephalographic (EEG) activity of the brain function in order to communicate with the exterior world through a non-muscular channel. It has become one of the primarily focussed fields of research that includes challenges for the various fields like Artificial intelligence, Cognitive neuroscience, user interface and signal processing. Spelling can be considered as the first actual BCI application and still remain a big challenge to the community. Generally, for communication application in BCI, this application acts as benchmark. In this survey paper, the focus is on the contemporary tactics used for the spelling words which comprises of methods based on P300, motor imagery and steady state visual evoked potential (SSVEP). This paper also highlights some hurdles in the current BCI spellers and virtual keyboards.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Human Computer Interactions (ICHCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887788","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Brain computer interface (BCI) is a methodology of utilizing the electrophysiological measures or the electroencephalographic (EEG) activity of the brain function in order to communicate with the exterior world through a non-muscular channel. It has become one of the primarily focussed fields of research that includes challenges for the various fields like Artificial intelligence, Cognitive neuroscience, user interface and signal processing. Spelling can be considered as the first actual BCI application and still remain a big challenge to the community. Generally, for communication application in BCI, this application acts as benchmark. In this survey paper, the focus is on the contemporary tactics used for the spelling words which comprises of methods based on P300, motor imagery and steady state visual evoked potential (SSVEP). This paper also highlights some hurdles in the current BCI spellers and virtual keyboards.