Lieven De Marez
Papers
2
Total Citations
43
H-Index
2
About
Lieven De Marez is a pioneering researcher at the intersection of human cognition and industrial innovation, whose work is shaping the future of human-machine collaboration in Industry 4.0. His primary research areas include cognitive load detection, neuroergonomics, and the integration of physiological sensing into industrial workplaces. De Marez’s major contributions lie in demonstrating how EEG and EOG measurements can be used to detect cognitive overload in real-time, particularly for assembly workers in automated production environments. His highly cited 2022 study, "Danger, high voltage! Using EEG and EOG measurements for cognitive overload detection in a simulated industrial context," has garnered 29 citations and is a cornerstone in the field of industrial neuroergonomics. In his earlier 2019 work, he identified predictive EEG features for cognitive overload, addressing the critical challenge of ensuring worker safety and efficiency as automation transforms factory roles. With a combined citation impact exceeding 40 citations from these key papers alone, De Marez’s research provides actionable insights for designing adaptive systems that protect workers from mental fatigue and errors. His work is essential reading for anyone interested in the human factors of smart manufacturing and the ethical implementation of biosensing technologies in the workplace.
Research Focus
Key Achievements
Top Papers
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