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Title: Design of multiplayer attention based brain-computer interface game
Authors: Khong, Alvin Farn Loong
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2014
Abstract: This Final Year Project report records a summary of the design and implementation of multiple Brain Computer Interface(BCI) games as well as training interfaces. A total of two Training Interfaces and three attention-based game have been developed. The first training interface aims to differentiate visual attentiveness and inattentiveness. The second training interface aims to separate attention into three levels, specifically, "relax", "neutral" and "attentive". The aim of these training interface is to compute respective threshold which aids in the classification of EEG signals. These threshold will be utilised by the various Brain Computer Interface game. The BCI games developed varies greatly in its complexity, game play as well as cognitive elements involved. MindSprint, a two player game, allows player to compete against each other by controlling the running speed of their game character via visual attention. MindBall, an over the network up to four players game, allows player to compete against each other via different levels of attention. In addition, element of memory is included in the game play. Lastly, MindBattleField, a multiplayer game of up to eight players, combined all three cognitive elements, adding sophistication into the traditional First Person Shooting game. On top of that, various aspects of BCI game related topics are also explored and experimented. For example, agents programming with BCI, multi paradigm BCI as well as the review of existing game development tools.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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