59 citations · 178 across the 13 of their papers we have counts for
5 papers · 1 filter
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning
Dustin Pulver, Prithila Angkan, Paul Hungler +1
Cognitive load, the amount of mental effort required for task completion, plays an important role in performance and decision-making outcomes, making its classification and analysi…
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines
Prithila Angkan, Behnam Behinaein, Zunayed Mahmud +4
Through this paper, we introduce a novel driver cognitive load assessment dataset, CL-Drive, which contains Electroencephalogram (EEG) signals along with other physiological signal…
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition
Anubhav Bhatti, Behnam Behinaein, Paul Hungler +1
We propose cross-modal attentive connections, a new dynamic and effective technique for multimodal representation learning from wearable data. Our solution can be integrated into a…
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition
Anubhav Bhatti, Behnam Behinaein, Dirk Rodenburg +2
Classification of human emotions can play an essential role in the design and improvement of human-machine systems. While individual biological signals such as Electrocardiogram (E…
Unsupervised Multi-Modal Representation Learning for Affective Computing with Multi-Corpus Wearable Data
Kyle Ross, Paul Hungler, Ali Etemad
With recent developments in smart technologies, there has been a growing focus on the use of artificial intelligence and machine learning for affective computing to further enhance…