Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/45299
Title: EEG-based serious games design for E-learning
Authors: Zhang, Haoze
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 2011
Abstract: This final year project report records a summary of the design and implementation of the EEG-based game Remember me! for e-learning applications. This well-designed e-learning game is capable of training a kind of cognitive ability, memory, which helps people to recall important information more quickly and accurately. The player is required to play the role of a bartender and remember his customers' names and drinks in order to earn higher tips and job promotions. Two different brain states of “anxiety” and “boredom” could be detected by EEG, of which the values are calculated using fractal dimension model, during the proceeding of playing the game. These values and the threshold then determine the transition between different levels of difficulty of the game, with each level containing less or more customers to remember.
URI: http://hdl.handle.net/10356/45299
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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