An Auditory Brain-Computer Interface Based on Dichotic Listening Paradigm

Hai Juan Gao; Lei Wang; Ping Wang

doi:10.4028/www.scientific.net/AMR.1030-1032.2360

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1030-1032An Auditory Brain-Computer Interface Based on...

An Auditory Brain-Computer Interface Based on Dichotic Listening Paradigm

Abstract:

This study proposes a novel auditory brain–computer interface (BCI) based on dichotic listening paradigm, which allows the subject to select a target from two different sound stimulus sequences played in each ear. EEG data from 6 subjects has shown that the amplitude of N200 and P300 elicited by target was significantly higher than that of non-target ones. We found the N2ac component: a negativity wave in the N2 latency range at anterior contralateral electrodes. The target detection accuracy was assessed by support vector machine (SVM). The accuracy based on multiple electrodes is higher than a single electrode. The dichotic listening paradigm can be used for binary-class of brain-computer interface system.

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Periodical:

Advanced Materials Research (Volumes 1030-1032)

Pages:

2360-2363

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.2360

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Online since:

September 2014

Authors:

Hai Juan Gao*, Lei Wang, Ping Wang

Keywords:

Brain-Computer Interface, Dichotic Listening, Support Vector Machine (SVM)

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