Title:Objective Quantitative Evaluation of
Multidimensional Mental Fatigue based on EEG
Signals
Abstract: High-intensity cognitive activities are prone to mental fatigue and significantly
impair an individual’s cognitive behavioural ability, manifested as delayed responses
during task execution, and its subjective perception lag may lead to serious
consequences, even life-threatening. Therefore, a timely and accurate evaluation and
analysis of the fatigue state with the help of objective indicators is essential. This
study utilizes the advantage of millisecond-level neural electrical activity monitoring
of electroencephalography (EEG) and combines the robust feature screening
mechanism and the dynamic weight allocation strategy to construct a quantitative
evaluation model for fatigue state based on time-frequency-spatial multidimensional
feature fusion, aiming to explore fatigue evaluation indicators with significant
recognition ability and cross-individual robustness, further improving the
generalization performance of quantitative evaluation of mental fatigue. Bio: Jiaxing Wang is an Associate Professor at the Institute of Automation, Chinese
Academy of Sciences. Her research primarily focuses on brain-computer
interfaces and rehabilitation robotics. She has led or participated in six national-
level research projects, including those funded by the National Natural Science
Foundation of China and the National Key Research and Development Program.
Dr. Wang has been selected for the Young Elite Scientists Sponsorship Program
of the China Association for Science and Technology. She has published over 20
academic papers and holds more than 10 authorized national invention patents.
