Towards Accurate Browser-based SSVEP Stimuli Generation

Alison Camilleri, Chris Porter, Tracey Camilleri

2020

Abstract

Breakthroughs in Brain-Computer Interfacing (BCI) have positively impacted the lives of individuals who suffer from highly-restrictive physical disabilities. BCIs based on Steady State Visually Evoked Potentials (SSVEPs) rely on a neuronal response which takes place in the brain’s visual cortex whenever a person focuses visual attention onto a flickering stimulus. Specialized hardware and software tools exist for stimuli generation, however little to no empirical evidence exists on the applicability of standard web technologies for producing accurate and stable stimuli, for use in BCI applications. With the aim of informing efforts for the development of lightweight, portable and low-cost browser-based BCIs, this paper produces initial evidence on the performance attained by widely-adopted web technologies, namely CSS and WebGL. Results demonstrate that for the square wave approximation method, CSS and WebGL are able to effectively render stable and accurate stimuli on both Google Chrome and Mozilla Firefox.

Paper Citation

in Harvard Style

Camilleri A., Porter C. and Camilleri T. (2020). Towards Accurate Browser-based SSVEP Stimuli Generation.In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA, ISBN 978-989-758-480-0, pages 74-83. DOI: 10.5220/0010159400740083

in Bibtex Style

@conference{chira20,
author={Alison Camilleri and Chris Porter and Tracey Camilleri},
title={Towards Accurate Browser-based SSVEP Stimuli Generation},
booktitle={Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,},
year={2020},
pages={74-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010159400740083},
isbn={978-989-758-480-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,
TI - Towards Accurate Browser-based SSVEP Stimuli Generation
SN - 978-989-758-480-0
AU - Camilleri A.
AU - Porter C.
AU - Camilleri T.
PY - 2020
SP - 74
EP - 83
DO - 10.5220/0010159400740083