A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges

S Kalateh, LA Estrada-Jimenez, SN Hojjati… - IEEE Access, 2024 - ieeexplore.ieee.org
Emotion recognition involves accurately interpreting human emotions from various sources
and modalities, including questionnaires, verbal, and physiological signals. With its broad …

[HTML][HTML] Benchmarking deep Facial Expression Recognition: An extensive protocol with balanced dataset in the wild

GI Tutuianu, Y Liu, A Alamäki, J Kauttonen - Engineering Applications of …, 2024 - Elsevier
Facial expression recognition (FER) is crucial in enhancing human-computer interaction.
While current FER methods, leveraging various open-source deep learning models and …

Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects

UA Khan, Q Xu, Y Liu, A Lagstedt, A Alamäki… - Multimedia …, 2024 - Springer
In recent years, emotion recognition has received significant attention, presenting a plethora
of opportunities for application in diverse fields such as human–computer interaction …

Benchmarking deep Facial Expression Recognition: An extensive protocol with balanced dataset in the wild

G Ipinzine Tutuainu, Y Liu, A Alamäki, J Kauttonen - 2024 - theseus.fi
Facial expression recognition (FER) is crucial in enhancing human-computer interaction.
While current FER methods, leveraging various open-source deep learning models and …

Hyperparameter Optimization of Machine Learning Models for Monitoring Menstrual Mental Health

T Chawla, S Mittal, K Srinivasan - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Monitoring and tracking mood disorders associated with Menstruation are becoming crucial
to avoid impairment in the mental health of a woman, prevent disruption in family life and …