EEG data based human attention recognition using various machine learning techniques: a review
Author:
Affiliation:
1. Research Scholar, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
2. Department of IT, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
Publisher
Informa UK Limited
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics
Link
https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2299096
Reference57 articles.
1. Distinguishing mental attention states of humans via an EEG-based passive BCI using machine learning methods
2. Alam MS, Jalil SZA, Upreti K 2022. Analyzing recognition of EEG based human attention and emotion using machine learning. Materials Today: Proceedings, 56: 3349–3354.
3. Alirezaei M, Sardouie SH 2017. Detection of human attention using EEG signals. In 2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME), IEEE 1–5.
4. General model for best feature extraction of EEG using discrete wavelet transform wavelet family and differential evolution
5. Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
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