Optimizing 1D-CNN-Based Emotion Recognition Process through Channel and Feature Selection from EEG Signals

EEG-based emotion recognition has numerous real-world applications in fields such as affective computing, human-computer interaction, and mental health monitoring. This offers the potential for developing IOT-based, emotion-aware systems and personalized interventions using real-time EEG data. This...

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Detalles Bibliográficos
Autores principales: Aldawsari, Haya, Al-Ahmadi, Saad, Muhammad, Farah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453543/
https://www.ncbi.nlm.nih.gov/pubmed/37627883
http://dx.doi.org/10.3390/diagnostics13162624

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453543/
https://www.ncbi.nlm.nih.gov/pubmed/37627883
http://dx.doi.org/10.3390/diagnostics13162624

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