59 citations · 178 across the 13 of their papers we have counts for
5 papers · 1 filter
Understanding Mental States in Active and Autonomous Driving with EEG
Prithila Angkan, Paul Hungler, Ali Etemad
Understanding how driver mental states differ between active and autonomous driving is critical for designing safe human-vehicle interfaces. This paper presents the first EEG-based…
Graph-Based Learning of Spectro-Topographical EEG Representations with Gradient Alignment for Brain-Computer Interfaces
Prithila Angkan, Amin Jalali, Paul Hungler +1
We present a novel graph-based learning of EEG representations with gradient alignment (GEEGA) that leverages multi-domain information to learn EEG representations for brain-comput…
Multi-Domain EEG Representation Learning with Orthogonal Mapping and Attention-based Fusion for Cognitive Load Classification
Prithila Angkan, Amin Jalali, Paul Hungler +1
We propose a new representation learning solution for the classification of cognitive load based on Electroencephalogram (EEG). Our method integrates both time and frequency domain…
CLARE: Cognitive Load Assessment in REaltime with Multimodal Data
Anubhav Bhatti, Prithila Angkan, Behnam Behinaein +11
We present a novel multimodal dataset for Cognitive Load Assessment in REal-time (CLARE). The dataset contains physiological and gaze data from 24 participants with self-reported c…
Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning
Pritam Sarkar, Kyle Ross, Aaron J. Ruberto +3
Simulations are a pedagogical means of enabling a risk-free way for healthcare practitioners to learn, maintain, or enhance their knowledge and skills. Such simulations should prov…