59 citations · 134 across the 5 of their papers we have counts for
5 papers
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…
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…
A Transformer Architecture for Stress Detection from ECG
Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg +2
Electrocardiogram (ECG) has been widely used for emotion recognition. This paper presents a deep neural network based on convolutional layers and a transformer mechanism to detect…
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…