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 …
A Pradhan, S Srivastava - Multimedia Tools and Applications, 2024 - Springer
Recognition of emotions from multi-modal physiological signals is one among the toughest tasks prevailing amid the research communities. Most existing works have focused on …
N Gahlan, D Sethia - Multimedia Tools and Applications, 2024 - Springer
Abstract Automated Emotion Recognition Systems (ERS) with physiological signals help improve health and decision-making in everyday life. It uses traditional Machine Learning …
Accurate prediction and recognition of human emotions are crucial for effective human- computer interfaces. An Automated Emotion Recognition (AER) method is highly desirable …
J Li, N Chen, H Zhu, G Li, Z Xu, D Chen - Information Fusion, 2024 - Elsevier
Various physiological signals can reflect the human's emotional states objectively. How to take advantage of the common as well as complementary properties of different …
Stress is a prevalent issue in modern society which affects a large percentage of the population. Stress has negative effects on human daily lives such as reduced memory and …
A Bhatti, P Angkan, B Behinaein, Z Mahmud… - arXiv preprint arXiv …, 2024 - arxiv.org
We present a novel multimodal dataset for Cognitive Load Assessment in REaltime (CLARE). The dataset contains physiological and gaze data from 24 participants with self …
Automated emotion recognition using physiological signals has gained significant attention in recent years due to its potential applications in human–computer interaction, healthcare …
D Gupta, A Bhatti, S Parmar, C Dan, Y Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Low-Rank Adaptation (LoRA) is a widely used technique for fine-tuning large pre-trained or foundational models across different modalities and tasks. However, its application to time …