BCI-Related Research Focus at HCI International Conference
Brain Computer Interface (BCI) is an emerging research area which has been studied over thirty years extensively in the fields of clinical neurophysiology and neuroscience however it is now recognized as an interdisciplinary field involving neurobiology, psychology, engineering, mathematics and computer science. HCI community has begun to deal with BCI and substantial publications have been made in HCI related journals and conferences in recent years. In the scope of this research we conducted a systematic mapping study with the articles published in proceedings of HCI International Conferences to reveal the trends, general aims of the articles, which signal recording modality were used, for what kind of practical applications were developed, which feature types and classification algorithms were used and what are the nationalities and institutes of contributing authors in the scope of HCI International conference. The aim was to give insight to the researchers who were studying or would like to study in the area of BCI. According to the results of the mapping, research type of BCI articles were mainly in the category of emerging applications not related to communication and control. General aim of the articles was determined as practical applications of BCI technologies first and then development or improvement of methodologies for signal processing issues. Visual P300 was the mostly applied BCI paradigms and SSVEP and motor imagery followed next. Most of the articles had reported EEG as a signal acquisition method, ICA or bandpass filter as a preprocessing or filtering method, ERP as a feature type and LDA and LR as a classification algorithm method.
KeywordsSystematic mapping study Brain - computer interface BCI BCI research trends HCI International
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