Human performance evaluation based on EEG signal analysis: a prospective review.
Electroencephalogram (EEG) signal, the signature of brain activity, can be used to quantify for human performance evaluation. There are ongoing efforts by scientists and researchers in this area. Different traditional and novel signal processing and analysis methods have been applied to evaluate performance, mental workload, and task engagement based on EEG signals. Linear change in the indices with the increase in task difficulty was reported. In addition, EEG index has been used as parameter for performance optimization. In this review article, we will discuss briefly the literature on human performance estimation based on some physiological parameters, EEG in particular. In this paper, the current state of the research field is presented and possible future research options are discussed.
Rabbi
Ahmed F
AF
Biomedical Signal Processing Laboratory, Electrical Engineering Department, University of North Dakota, ND 58202-7165 USA. ahmed.rabbi@und.edu
Ivanca
Kevin
K
Putnam
Ashley V
AV
Musa
Ahmed
A
Thaden
Courtney B
CB
Fazel-Rezai
Reza
R
D000465:Algorithms; D001921:Brain / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D003198:Computer Simulation; D004562:Electrocardiography / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008606:Mental Processes / Q000502:physiology*; D011446:Prospective Studies; D011930:Reaction Time; D013647:Task Performance and Analysis