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Optimizing the use of SSVEP-based brain-computer interfaces for human-computer interaction

Abstract : This PhD deals with the conception and evaluation of interactive systems based on Brain-Computer Interfaces (BCI). This type of interfaces has developed in recent years, first in the domain of handicaps, in order to provide disabled people means of interaction and communication, and more recently in other fields as video games. However, most of the research so far focused on the identification of cerebral pattern carrying useful information, a on signal processing for the detection of these patterns. Less attention has been given to usability aspects. This PhD focuses on interactive systems based on Steady-State Visually Evoked Potentials (SSVEP), and aims at considering the interactive system as a whole, using the concepts of Human-Computer Interaction. More precisely, a focus is made on cognitive demand, user frustration, calibration conditions, and hybrid BCIs.
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Submitted on : Friday, February 24, 2017 - 4:09:07 PM
Last modification on : Thursday, January 7, 2021 - 4:13:36 PM
Long-term archiving on: : Thursday, May 25, 2017 - 1:51:07 PM


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  • HAL Id : tel-01476185, version 1


Andéol Évain. Optimizing the use of SSVEP-based brain-computer interfaces for human-computer interaction. Human-Computer Interaction [cs.HC]. Université Rennes 1, 2016. English. ⟨NNT : 2016REN1S083⟩. ⟨tel-01476185⟩



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