Pieter Vanneste
Papers
2
Total Citations
43
H-Index
2
About
Pieter Vanneste is a leading researcher at the intersection of cognitive neuroscience and industrial engineering, specializing in cognitive load detection and neuroergonomics for Industry 4.0. His work focuses on using electroencephalography (EEG) and electrooculography (EOG) to monitor workers' mental states in real-time, particularly in high-stakes manufacturing environments. Vanneste's major contributions include developing predictive EEG features to identify cognitive overload in assembly workers, a critical advancement as automation transforms factory roles. His 2022 study, "Danger, high voltage! Using EEG and EOG measurements for cognitive overload detection in a simulated industrial context," has garnered 29 citations, demonstrating significant impact in the field. Earlier foundational work from 2019, with 14 citations, established key biomarkers for overload detection, addressing the challenge of workers remaining in the loop alongside increasingly autonomous systems. Vanneste's research is notable for bridging laboratory-grade neurophysiological measurement with practical industrial applications, offering a pathway toward safer, more adaptive human-machine collaboration. His findings are essential reading for researchers in neuroergonomics, human factors engineering, and the future of work in smart manufacturing.
Research Focus
Key Achievements
Top Papers
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