no code implementations • 26 Apr 2024 • Anubhav Bhatti, Prithila Angkan, Behnam Behinaein, Zunayed Mahmud, Dirk Rodenburg, Heather Braund, P. James Mclellan, Aaron Ruberto, Geoffery Harrison, Daryl Wilson, Adam Szulewski, Dan Howes, Ali Etemad, Paul Hungler
In contrast, for LOSO, the best performance is achieved by the deep learning model with ECG, EDA, and EEG.
1 code implementation • 9 Apr 2023 • Prithila Angkan, Behnam Behinaein, Zunayed Mahmud, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad
Through this paper, we introduce a novel driver cognitive load assessment dataset, CL-Drive, which contains Electroencephalogram (EEG) signals along with other physiological signals such as Electrocardiography (ECG) and Electrodermal Activity (EDA) as well as eye tracking data.
no code implementations • 9 Jun 2022 • Anubhav Bhatti, Behnam Behinaein, Paul Hungler, Ali Etemad
We perform extensive experiments on three public multimodal wearable datasets, WESAD, SWELL-KW, and CASE, and demonstrate that our method can effectively regulate and share information between different modalities to learn better representations.
no code implementations • 22 Aug 2021 • Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad
Electrocardiogram (ECG) has been widely used for emotion recognition.
no code implementations • 4 Aug 2021 • Anubhav Bhatti, Behnam Behinaein, Dirk Rodenburg, Paul Hungler, Ali Etemad
Classification of human emotions can play an essential role in the design and improvement of human-machine systems.