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cs.LG2026
Towards a Unified Modality-Agnostic Multimodal Framework for Cognitive Workload Assessment
Stefanos Gkikas, Christian Arzate Cruz, Calvin Joseph +2
Cognitive workload reflects the mental effort required during task performance and is central to the design of adaptive human-machine systems. The use of biosignals to measure cogn…
cs.LG2026
A comparative and critical study of EEGNet for fNIRS-driven cognitive load classification
Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang +8
Accurately classifying cognitive load from functional near-infrared spectroscopy (fNIRS) signals remains a significant challenge due to temporal variability, inter-subject differen…