I2.03 - Neuroergonomics

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This project seeks to investigate how EEG data can be utilized to detect, and predict, cognitive fatigue in manual material handling workers. As the workforce progress throughout their workday, the employees become physically and mentally fatigued which can affect their work performance. Using an electroencephalography (EEG) device, brain data can be recorded as a subject simulates a work task. Understanding when an employee becomes mentally fatigued and how this can affect their physical performance is crucial in improving productivity in repetitive tasks on a factory floor.