Cargando…
Musical Emotions Recognition Using Entropy Features and Channel Optimization Based on EEG
The dynamic of music is an important factor to arouse emotional experience, but current research mainly uses short-term artificial stimulus materials, which cannot effectively awaken complex emotions and reflect their dynamic brain response. In this paper, we used three long-term stimulus materials...
Autores principales: | Xie, Zun, Pan, Jianwei, Li, Songjie, Ren, Jing, Qian, Shao, Ye, Ye, Bao, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777832/ https://www.ncbi.nlm.nih.gov/pubmed/36554139 http://dx.doi.org/10.3390/e24121735 |
Ejemplares similares
-
Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG
por: Zuo, Xin, et al.
Publicado: (2022) -
EEG-based human emotion recognition using entropy as a feature extraction measure
por: Patel, Pragati, et al.
Publicado: (2021) -
Emotion recognition based on EEG features in movie clips with channel selection
por: Özerdem, Mehmet Siraç, et al.
Publicado: (2017) -
Multidimensional Feature in Emotion Recognition Based on Multi-Channel EEG Signals
por: Li, Qi, et al.
Publicado: (2022) -
A review: Music-emotion recognition and analysis based on EEG signals
por: Cui, Xu, et al.
Publicado: (2022)