Cargando…
EEG-based emotion recognition using hybrid CNN and LSTM classification
Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as physical, behavioral, and mental changes. In the latest days, physiological activity has been used to study emotional reactions. This study describes the electroencephalography (EEG) signals, the brain wave...
Autores principales: | Chakravarthi, Bhuvaneshwari, Ng, Sin-Chun, Ezilarasan, M. R., Leung, Man-Fai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585893/ https://www.ncbi.nlm.nih.gov/pubmed/36277613 http://dx.doi.org/10.3389/fncom.2022.1019776 |
Ejemplares similares
-
EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM
por: Mughal, Nabeeha Ehsan, et al.
Publicado: (2022) -
Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM Network
por: Hosseini, Mohammad Saleh Khajeh, et al.
Publicado: (2023) -
A One-Dimensional CNN-LSTM Model for Epileptic Seizure Recognition Using EEG Signal Analysis
por: Xu, Gaowei, et al.
Publicado: (2020) -
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
por: Shoeibi, Afshin, et al.
Publicado: (2021) -
Facial expression recognition in videos using hybrid CNN & ConvLSTM
por: Singh, Rajesh, et al.
Publicado: (2023)