A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals

K Kamble, J Sengupta - Multimedia Tools and Applications, 2023 - Springer
Emotion recognition using electroencephalography (EEG) is becoming an interesting topic
among researchers. It has made a remarkable entry in the domain of biomedical, smart …

Review of studies on emotion recognition and judgment based on physiological signals

W Lin, C Li - Applied Sciences, 2023 - mdpi.com
People's emotions play an important part in our daily life and can not only reflect
psychological and physical states, but also play a vital role in people's communication …

A review of AI cloud and edge sensors, methods, and applications for the recognition of emotional, affective and physiological states

A Kaklauskas, A Abraham, I Ubarte, R Kliukas… - Sensors, 2022 - mdpi.com
Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …

Machine learning for human emotion recognition: a comprehensive review

EMG Younis, S Mohsen, EH Houssein… - Neural Computing and …, 2024 - Springer
Emotion is an interdisciplinary research field investigated by many research areas such as
psychology, philosophy, computing, and others. Emotions influence how we make …

Deep feature extraction from EEG signals using xception model for emotion classification

A Phukan, D Gupta - Multimedia Tools and Applications, 2024 - Springer
Throughout the years, major advancements have been made in the field of EEG-based
emotion classification. Implementing deep architectures for supervised and unsupervised …

Music emotion recognition based on a modified brain emotional learning model

M Jandaghian, S Setayeshi, F Razzazi… - Multimedia Tools and …, 2023 - Springer
Listening to music can evoke different emotions in humans. Music emotion recognition
(MER) can predict a person's emotions before listening to a song. However, there are three …

Recommendation of music based on DASS-21 (Depression, Anxiety, Stress Scales) using fuzzy clustering

E Wang, H Lee, K Do, M Lee, S Chung - Electronics, 2022 - mdpi.com
The present study proposes a music recommendation service in a mobile environment using
the DASS-21 questionnaire to distinguish and measure certain psychological state instability …

A concept for emotion recognition systems for children with profound intellectual and multiple disabilities based on artificial intelligence using physiological and motion …

H Tanabe, T Shiraishi, H Sato, M Nihei… - Disability and …, 2024 - Taylor & Francis
Purpose This study proposes a concept for emotion recognition systems for children with
profound intellectual and multiple disabilities (PIMD) based on artificial intelligence (AI) …

COSMIC: Music emotion recognition combining structure analysis and modal interaction

L Yang, Z Shen, J Zeng, X Luo, H Lin - Multimedia Tools and Applications, 2024 - Springer
As a common multi-modal information carrier, music is frequently used to deliver emotions
with lyrics and melodies. Besides lyrics (text) and melodies (audio), the structure of a song is …

A Hybrid Macro and Micro Method for Consumer Emotion and Behavior Research

M Xiaohong, X Zhihao, L Ding-Bang - IEEE Access, 2023 - ieeexplore.ieee.org
To investigate impacts of intelligent and fashion factors of sports bras on consumers'
emotions, decision-making and behavior, a quantitative analysis method combing macro …