Emotion recognition is the process to detect, evaluate, interpret, and respond to people's emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
M Jafari, A Shoeibi, M Khodatars… - Computers in Biology …, 2023 - Elsevier
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making, planning, reasoning, and other mental states. As a result, they are considered a significant …
K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources in our daily life brings up new alternatives for emotion recognition in several domains including e-health, e-learning …
Deep Learning has implemented a wide range of applications and has become increasingly popular in recent years. The goal of multimodal deep learning (MMDL) is to create models …
In recent years, affective computing has become a topic of considerable interest, driven by its ability to enhance several domains, such as mental health monitoring, human–computer …
S Vignesh, M Savithadevi, M Sridevi… - International Journal of …, 2023 - Springer
Abstract Facial Emotion Recognition (FER) has gained popularity in recent years due to its many applications, including biometrics, detection of mental illness, understanding of human …
J Summaira, X Li, AM Shoib, S Li, J Abdul - arXiv preprint arXiv …, 2021 - arxiv.org
Deep Learning has implemented a wide range of applications and has become increasingly popular in recent years. The goal of multimodal deep learning is to create models that can …
Scalp EEG plots are plots of scalp potentials against time, and hence, capture spatial information, owing to the placement of electrodes on the scalp, as well as, temporal …