Decoding auditory and tactile attention for use in an EEG-based brain-computer interface
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Date
2020
Publication Type
Conference Paper
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yes
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Abstract
Brain-computer interface (BCI) systems offer a nonverbal and covert way for humans to interact with a machine. They are designed to interpret a user's brain state that can be translated into action or for other communication purposes. This study investigates the feasibility of developing a hands- and eyes-free BCI system based on auditory and tactile attention. Users were presented with multiple simultaneous streams of auditory or tactile stimuli, and were directed to detect a pattern in one particular stream. We applied a linear classifier to decode the stream-tracking attention from the EEG signal. The results showed that the proposed BCI system could capture attention from most study participants using multisensory inputs, and showed potential in transfer learning across multiple sessions. © 2020 IEEE.
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Publication status
published
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Editor
Book title
2020 8th International Winter Conference on Brain-Computer Interface (BCI)
Journal / series
Volume
Pages / Article No.
9061623
Publisher
IEEE
Event
8th International Winter Conference on Brain-Computer Interface (BCI 2020)
Edition / version
Methods
Software
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Date collected
Date created
Subject
Attention; Auditory; BCI; EEG; Tactile
Organisational unit
09649 - Holz, Christian / Holz, Christian