Tennis computer game with brain control using EEG signals

Author

Lopetegui, Eneko ; Zapirain, Begona Garcia ; Mendez, Amaia

Author_Institution

Deusto Inst. of Technol., Univ. of Deusto, Bilbao, Spain

fYear

2011

fDate

27-30 July 2011

Firstpage

228

Lastpage

234

Abstract

This paper presents a game designed to improve the quality of life of people with severe disabilities for using a computer mouse or keyboard. The game has been designed using biofeedback and BCI technology included in a machine learning algorithm and integrated into a game interface using the SDL library. The results have been entirely satisfactory because the success rate in trained patients is over the 80% and the game has been qualified by them as friendly. Next step will be to develop the graphics in 3D instead of 2D. The social benefits of this type of application can affect diseases involving movement difficulties for controlling keyboard and mouse of a computer, or even rare diseases like congenital double athetosis.

Keywords

brain-computer interfaces; computer games; computer graphics; diseases; electroencephalography; keyboards; learning (artificial intelligence); medical signal processing; mouse controllers (computers); specification languages; sport; 3D graphics; BCI technology; EEG signals; SDL library; biofeedback; brain control; computer keyboard; computer mouse; congenital double athetosis; disabilities; diseases; game interface; machine learning; movement difficulties; patients; social benefits; tennis computer game; Biological control systems; Computers; Digital filters; Electroencephalography; Games; Low pass filters; Machine learning algorithms; BCI Technology; EEG; communication problems; serious game;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Games (CGAMES), 2011 16th International Conference on

Conference_Location

Louisville, KY

Print_ISBN

978-1-4577-1451-1

Type

conf

DOI

10.1109/CGAMES.2011.6000344

Filename

6000344