Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/10975
Title: Analysis of user Interaction with a brain-computer interface based on steady-state visually evoked potentials : case study of a game
Authors: Leite, Harlei Miguel de Arruda
Carvalho, Sarah Negreiros de
Costa, Thiago Bulhões da Silva
Attux, Romis
Hornung, Heiko Horst
Arantes, Dalton Soares
Issue Date: 2018
Citation: LEITE, H. M. de A. et al. Analysis of user Interaction with a brain-computer interface based on steady-state visually evoked potentials : case study of a game. Computational Intelligence and Neuroscience, v. 2018, p. 1-10, 2018. Disponível em: <https://www.hindawi.com/journals/cin/2018/4920132/>. Acesso em: 15 fev. 2019.
Abstract: This paper presents a systematic analysis of a game controlled by a Brain-Computer Interface (BCI) based on Steady-State Visually Evoked Potentials (SSVEP).The objective is to understand BCI systems from the Human-Computer Interface (HCI) point of view, by observing how the users interact with the game and evaluating how the interface elements influence the system performance. The interactions of 30 volunteers with our computer game, named “Get Coins,” through a BCI based on SSVEP, have generated a database of brain signals and the corresponding responses to a questionnaire about various perceptual parameters, such as visual stimulation, acoustic feedback, background music, visual contrast, and visual fatigue. Each one of the volunteers played one match using the keyboard and four matches using the BCI, for comparison. In all matches using the BCI, the volunteers achieved the goals of the game. Eight of them achieved a perfect score in at least one of the four matches, showing the feasibility of the direct communication between the brain and the computer. Despite this successful experiment, adaptations and improvements should be implemented to make this innovative technology accessible to the end user.
URI: http://www.repositorio.ufop.br/handle/123456789/10975
ISSN: 16875273
metadata.dc.rights.license: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Fonte: próprio artigo
Appears in Collections:DECSI - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
ARTIGO_AnalysisUserInteraction.pdf2,09 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.