MATEC Web Conf.
Volume 290, 20199th International Conference on Manufacturing Science and Education – MSE 2019 “Trends in New Industrial Revolution”
|Number of page(s)||9|
|Section||Design, Manufacturing and Management of Technological Equipment and Systems|
|Published online||21 August 2019|
Design of a Brain-Controlled Video Game based on a BCI System
University of Petrosani, Department of Computer and Electrical Engineering, 332006 Petrosani, Romania
* Corresponding author: firstname.lastname@example.org
The Computer Brain Interface (BCIs) is a new type of user interface designed to recognize real-time user-specific intentions based on user brain mapping. Gradual advancing technology behind the BCI interface has made it possible to develop gaming applications that use directly brain input instead of well-known traditional control methods. This paper presents the Mental Pool Game, a brain-controlled computer game powered by Unity3D, which uses a commercial BCI device based on a network of electroencephalography (EEG) sensors placed on the scalp capable of creating brain patterns only by capturing conscious thoughts from a user that can be easily reproduced as mental actions to control strength and speed on which the user can project on the white ball to hit any of the eight balls on the pool table. Mental PoolGame, powered by Unity3D, is a platform that provides all tools necessary for a developer to develop three-dimensional games that has been designed so that the end user no longer uses classical commands that depend on the use of well-known peripheral input devices present on any PC, such as a keyboard, mouse and more recently a joystick to control the movement of space in an object in a virtual environment.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.