Improving EEG signal-based emotion recognition using a hybrid GWO-XGBoost feature selection method-Reference-Cited by-同舟云学术

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Improving EEG signal-based emotion recognition using a hybrid GWO-XGBoost feature selection method

Published:2025-01 Issue: Volume:99 Page:106795
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Asemi Hanie,Farajzadeh Nacer

Publisher

Elsevier BV

Reference52 articles.

1. Brain computer interfacing: Applications and challenges;Abdulkader;Egypt. Inform. J.,2015

2. Brain computer interface advancement in neurosciences: Applications and issues;Mudgal;Interdiscip. Neurosurg.,2020

3. EEG Channel Correlation Based Model for Emotion Recognition;Islam;Comput. Biol. Med.,2021

4. An EEG-based brain computer interface for emotion recognition and its application in patients with disorder of consciousness;Huang;IEEE Trans. Affect. Comput.,2021

5. A survey of affect recognition methods: audio, visual, and spontaneous expressions;Zeng;IEEE Trans. Pattern Anal. Mach. Intell.,2009

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