Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/76940
Title: Mental fatigue assessment using brain computer interface (BCI) game
Authors: Muhammad Iman Nur Haqim Sulaiman
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences
Issue Date: 2019
Abstract: Mental fatigue has been a prevalent factor affecting mental efficiency while performing various cognitive workload tasks. Since mental fatigue does not have a clear-cut definition, symptoms such as drowsiness, stress, forgetfulness and the inability to concentrate were examined to represent levels of mental fatigue. In this project, an OpenSesame application was created with the Muse headband to conduct series of alert and fatigue inducing experiments for model training. Through performing SVM classification technique using Matlab, a stress vs alert score was evaluated to control and assess mental fatigue levels from a simple falling blocks game in Unity. While the Matlab BCI engine was able to stream normalized BCI scores from the Muse, the responses became intermittent after a few minutes of gameplay.
URI: http://hdl.handle.net/10356/76940
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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