There is a growing demand for emotion recognition systems (ERS) to be adopted in everyday life from various fields, particularly automotive, education, and social security …
Y Wu, M Daoudi, A Amad - IEEE Transactions on Affective …, 2023 - ieeexplore.ieee.org
Recently, wearable emotion recognition based on peripheral physiological signals has drawn massive attention due to its less invasive nature and its applicability in real-life …
S Vhaduri, W Cheung, SV Dibbo - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The introduction of the Internet of Things (IoT) has made several emerging applications, from financial transactions to property access, possible through IoT-connected smart wearables …
Stress recognition is the process of identifying and assessing an individual's physiological and psychological responses to stressors, which has significant implications for human well …
A Bhatti, B Behinaein, P Hungler… - ACM Transactions on …, 2022 - dl.acm.org
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 …
F Pourpanah, A Etemad - ACM Transactions on Computing for …, 2023 - dl.acm.org
Ubiquitous in-home health monitoring systems have become popular in recent years due to the rise of digital health technologies and the growing demand for remote health monitoring …
In this paper, we address the problem of multimodal emotion recognition from multiple physiological signals. We demonstrate that a Transformer-based approach is suitable for …
A Bhatti, B Behinaein, D Rodenburg… - … and demos (ACIIW), 2021 - ieeexplore.ieee.org
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 …
P Angkan, B Behinaein, Z Mahmud… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Through this paper, we introduce a novel driver cognitive load assessment dataset, CL- Drive, which contains Electroencephalogram (EEG) signals along with other physiological …