Block-As-Domain Adaptation for Workload Prediction from fNIRS Data

arXiv:2405.00213v1 Announce Type: new
Abstract: Functional near-infrared spectroscopy (fNIRS) is a non-intrusive way to measure cortical hemodynamic activity. Predicting cognitive workload from fNIRS data has taken on a diffuse set of methods. To be applicable in real-world settings, models are needed, which can perform well across different sessions as well as different subjects. However, most existing works assume that training and testing data come from the same subjects and/or cannot generalize well across never-before-seen subjects. Additional challenges imposed by fNIRS …

abstract arxiv block cognitive cs.hc cs.lg data domain domain adaptation eess.sp functional near prediction set spectroscopy type world