Accurate EEG-based emotion recognition using LSTM and BiLSTM networks

Emotion recognition is crucial for advancing human-computer interaction and mental health diagnostics. Unlike speech or image-based methods, EEG provides a direct, non-manipulable measure of neural activity, offering a more reliable insight into genuine emotional states. This study addresses the c...

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Bibliographic Details

Main Authors:	Yaacob, Mashkuri, Gunawan, Teddy Surya, Abu Bakar, Muhammad Izwan Fazry, Yusoff, Siti Hajar, Kartiwi, Mira, Md Yusoff, Nelidya
Format:	Proceeding Paper
Language:	en
Published:	IEEE 2024
Subjects:	TK1001 Production of electric energy. Powerplants
Online Access:	http://irep.iium.edu.my/115181/7/115181_%20Accurate%20EEG-based%20emotion.pdf http://irep.iium.edu.my/115181/ https://ieeexplore.ieee.org/document/10675567 https://doi.org/10.1109/ICSIMA62563.2024.10675567
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