"Recognizing Cognitive Load by a Hybrid Spatio-Temporal Causal Model fr" by Zirui Yong, Guoxin Su et al.
Cognitive load recognition is challenging due to the inherent diversity and causality of multivariate physiological changes, with each of its instances having its own style of physiological events and their spatio-temporal causal dependencies. This leads us to define a hybrid model that employs Granger causality (GC) and Gramian angular difference fields (GADF) to discover diverse varieties of multivariate physiological events. In particular, our model introduces a GC network to explicitly characterize the unique temporal causal configurations of a particular cognitive state as a variable numb...