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ThinkMind // ACHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions // View article achi_2020_5_460_20195


Hybrid Control and Game Design for BCI-integrated Action FPS Game

Authors:
Supachai Tengtrakul
Setha Pan-ngum

Keywords: BCI, EEG, SSVEP, Games, Riemannian-based classification

Abstract:
Despite years of research, the fundamental issues of Electroencephalography (EEG) remain one of the most prominent problems for Brain-Computer Interface (BCI) game design, resulting in BCI games that look very lacking compared to other games in the market. This paper presents a new hybrid game control that is a combination of 4 methods of interaction: a Steady-State Visually Evoked Potential (SSVEP)-based BCI that utilizes a state-of-the-art Riemannian-based classifier, a mouse, a keyboard and an eye tracker. This paper also presents an action First-Person- Shooting (FPS) game that works together with the control to deliver satisfying BCI game experience. This game features 3 mechanics that assist the BCI control: slowing down time, highlighting an SSVEP stimulus that is being looked at and activating an SSVEP command automatically if players fail to do so in exchange for not receiving some rewards. From the test result from 10 subjects, we found that all subjects can issue commands through the eye tracker adequately at first, but the performance degraded over time. SSVEP commands had a 60.5% successful manual activation rate and it took around 3.569 seconds for each successful manual activation. Despite some inconveniences seen from the result, 90% of the subjects still found the game enjoyable, and 10% felt neutral toward the game.

Pages: 408 to 414

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-761-0

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020

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