MA Ramadan, NM Salem, LN Mahmoud… - … Signal Processing and …, 2024 - Elsevier
This study explores a novel approach to emotion recognition through machine learning, addressing the limitations of previous methods. While deep learning has shown promise in …
The purpose of this study is to improve human emotional classification accuracy using a convolution neural networks (CNN) model and to suggest an overall method to classify …
This research contributed to the development of advanced feature selection model, hyperparameter optimization and temporal multimodal deep learning model to improve the …
A Sharma, S Canavan - … and Challenges: Virtual Event, January 10–15 …, 2021 - Springer
In this paper, we propose a multimodal approach to emotion recognition using physiological signals by showing how these signals can be combined and used to accurately identify a …
Z Yin, M Zhao, Y Wang, J Yang, J Zhang - Computer methods and …, 2017 - Elsevier
Abstract Background and Objective Using deep-learning methodologies to analyze multimodal physiological signals becomes increasingly attractive for recognizing human …
M Zubair, S Woo, S Lim, C Yoon - IEEE Access, 2024 - ieeexplore.ieee.org
Physiological signal analysis has gained a lot of interest in recent years and has been used in a variety of fields including emotion recognition, activity recognition, and health …
F Patlar Akbulut - Computer Methods in Biomechanics and …, 2022 - Taylor & Francis
Emotion recognition has become increasingly utilized in the medical, advertising, and military domains. Recognizing the cues of emotion from human behaviors or physiological …
Physiological signals are the most reliable form of signals for emotion recognition, as they cannot be controlled deliberately by the subject. Existing review papers on emotion …
HP Fordson, X Xing, K Guo, X Xu - 2021 IEEE Signal …, 2021 - ieeexplore.ieee.org
The human body as an entire structure of a person contains physiological and physical reactions that connect with emotions. Emotions play a crucial role in our day to day activities …