Comparison of EEG- Based Deep Neural Network Classifiers for Emotion Recognition using Selected Electrodes
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Erişim
http://dx.doi.org/10.1109/TIPTEKNO59875.2023.10359196Tarih
2023Üst veri
Tüm öğe kaydını gösterKünye
Nur, A., & Abdullah Altuntaş. (2023). Comparison of EEG- Based Deep Neural Network Classifiers for Emotion Recognition using Selected Electrodes. Retrieved March 5, 2024, from Medical Technologies National Conference website: https://www.semanticscholar.org/paper/Comparison-of-EEG-Based-Deep-Neural-Network-for-Gul-Altunta%C5%9F/e370d0b0821c9b61b003a6f57357562073ed6242 Özet
In this study, SVM and DNN models were employed to classify participants' emotional states using the publicly available SEED dataset, achieving impressive accuracy rates of 79.8% for DNN and 79.4% for SVM, surpassing the accuracies of previous models. Furthermore, our electrode reduction study, which optimized electrode placement by focusing on emotionally relevant brain regions, yielded high accuracy. The use of EL further enhanced model accuracy to 81.3%. These classification results suggest that future research with more extensive datasets could lead to even more robust models. Consequently, this work has the potential to provide guidance for personalized recommendations in areas such as music, movies, books, and other choices tailored to individuals' emotional states. © 2023 IEEE.
Kaynak
TIPTEKNO 2023 - Medical Technologies Congress, ProceedingsBağlantı
https://hdl.handle.net/20.500.14002/2446https://doi.org/10.1109/TIPTEKNO59875.2023.10359196
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