Abstract: 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 cognitive ...

Abstract: Practical application of deep learning based non-intrusive load monitoring (NILM) system requires the deep neural network model to generalize on new unseen data. Existing NILM solutions are ...