Charlotte Larmuseau
Papers
2
Total Citations
43
H-Index
2
About
Charlotte Larmuseau is a pioneering researcher at the intersection of cognitive neuroscience and industrial engineering, specializing in cognitive load detection and neuroergonomics within Industry 4.0 environments. Her groundbreaking work focuses on using electroencephalography (EEG) and electrooculography (EOG) to monitor workers’ mental states in real-time, addressing the critical challenge of cognitive overload in increasingly automated factories. Her most influential paper, “Danger, high voltage! Using EEG and EOG measurements for cognitive overload detection in a simulated industrial context” (2022), has garnered 29 citations and demonstrates how neural signals can predict dangerous mental fatigue in assembly workers. In her earlier foundational work, “Identifying predictive EEG features for cognitive overload detection in assembly workers in Industry 4.0” (2019, 14 citations), Larmuseau identified specific neural biomarkers that distinguish optimal cognitive engagement from overload. Her research has profound implications for workplace safety and productivity, offering a pathway toward adaptive automation systems that respond to workers’ cognitive states. By bridging neuroscience and industrial design, Larmuseau is helping shape a future where technology complements human cognition rather than overwhelms it, making her work essential reading for anyone interested in human-centered Industry 4.0.
Research Focus
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Top Papers
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