Entropy-Based Emotion Recognition from Multichannel EEG Signals Using Artificial Neural Network

Humans experience a variety of emotions throughout the course of their daily lives, including happiness, sadness, and rage. As a result, an effective emotion identification system is essential for electroencephalography (EEG) data to accurately reflect emotion in real-time. Although recent studies o...

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Detalles Bibliográficos
Autores principales: Aung, Si Thu, Hassan, Mehedi, Brady, Mark, Mannan, Zubaer Ibna, Azam, Sami, Karim, Asif, Zaman, Sadika, Wongsawat, Yodchanan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584707/
https://www.ncbi.nlm.nih.gov/pubmed/36275950
http://dx.doi.org/10.1155/2022/6000989

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584707/
https://www.ncbi.nlm.nih.gov/pubmed/36275950
http://dx.doi.org/10.1155/2022/6000989

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