Nataliya Kosmyna

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Smart homes have been an active area of research, however despite considerable investment, they are not yet a reality for end-users. Moreover, there are still accessibility challenges for the elderly or the disabled, two of the main potential targets for home automation. In this exploratory study we design a control mechanism for smart homes based on Brain(More)
This study evaluates the usability and efficiency of three multimodal combinations of Brain-Computer Interfaces (BCI) and Eye-tracking in the context of a simple puzzle game involving tile selections and rotations. Results indicate that although BCI interaction raises interest is still very tiring and imprecise. However, BCI based on SSVEP are efficient in(More)
Brain-Computer Interface (BCI) community has focused the majority of its research efforts on signal processing and machine learning, mostly neglecting the human in the loop. Guiding users on how to use a BCI is crucial in order to teach them to produce stable brain patterns. In this work, we explore the instructions and feedback for BCIs in order to provide(More)
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