Measuring cognitive load by a score-based causal network model with multichannel physiological signals

Li Liu, Qiwen Pang, Shanshan Huang, Laiming Jiang, Shu Wang, Guang Wu, Guoxin Su, Qing Tao

Abstract: Highlights•We propose score-based causal representation model to address cognitive load measurement.•Spatio-temporal representation learning with position encoding is proposed to address challenges in capturing multi-channel physiological signal dynamics.•A Markov-constrained causal network is introduced to disentangle causal and task-irrelevant features.•A reconstruction network for dimensionality reduction is developed to overcome non-convex optimization hurdles in causal structure search.•Experiments on two public and one in-house dataset demonstrate superior performance over existing methods in cognitive load measurement.

External IDs:dblp:journals/ijon/LiuPHJWWST26