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 …
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 …
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
Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …
capturing human signals is a fast-growing area, which has been applied across numerous …
Machine learning for human emotion recognition: a comprehensive review
Emotion is an interdisciplinary research field investigated by many research areas such as
psychology, philosophy, computing, and others. Emotions influence how we make …
psychology, philosophy, computing, and others. Emotions influence how we make …
Deep feature extraction from EEG signals using xception model for emotion classification
Throughout the years, major advancements have been made in the field of EEG-based
emotion classification. Implementing deep architectures for supervised and unsupervised …
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 …
(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 …
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) …
profound intellectual and multiple disabilities (PIMD) based on artificial intelligence (AI) …
COSMIC: Music emotion recognition combining structure analysis and modal interaction
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 …
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 …
emotions, decision-making and behavior, a quantitative analysis method combing macro …