Online BCI implementation of high-frequency phase modulated visual stimuli

Danhua Zhu, G. Garcia Molina, V. Mihajlovic, R.M. Aarts

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

14 Citations (Scopus)

Abstract

Brain computer interfaces (BCI) that use the steady-state-visual-evoked-potential (SSVEP) as neural source, offer two main advantages over other types of BCIs: shorter calibration times and higher information transfer rates. SSVEPs elicited by high frequency (larger than 30 Hz) repetitive visual stimulation are less prone to cause visual fatigue, safer, and more comfortable for the user. However in the high frequency range there is a practical limitation because only few frequencies can elicit sufficiently strong SSVEPs for BCI purposes. We bypass this limitation by using only one stimulation frequency and different phases. To detect the phase from the recorded SSVEP, we use spatial filtering combined to phase synchrony analysis. We developed an online BCI implementation which was tested on six subjects and resulted on an average accuracy of 95.5% and an average bit rate of 34 bits-per-minute. Our approach has the advantage of entailing only minimal visual annoyance for the user.
Original languageEnglish
Title of host publicationUniversal access in human-computer interaction : users diversity : 6th International Conference, UAHCI 2011, Held as Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part II
EditorsC. Stephnidis
Pages645-654
Number of pages655
DOIs
Publication statusPublished - 2011

Publication series

NameLecture Notes in Computer Science
Volume6766
ISSN (Print)0302-9743

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    Zhu, D., Garcia Molina, G., Mihajlovic, V., & Aarts, R. M. (2011). Online BCI implementation of high-frequency phase modulated visual stimuli. In C. Stephnidis (Ed.), Universal access in human-computer interaction : users diversity : 6th International Conference, UAHCI 2011, Held as Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part II (pp. 645-654). (Lecture Notes in Computer Science; Vol. 6766). https://doi.org/10.1007/978-3-642-21663-3