Hybrid feature integration model and adaptive transformer approach for emotion recognition with EEG signals-Reference-Cited by-同舟云学术

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Hybrid feature integration model and adaptive transformer approach for emotion recognition with EEG signals

Published:2023-09-09 Issue: Volume: Page:1-23
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Narsimha Reddy CH¹,Mahesh Shanthi²,Manjunathachari K.³

Affiliation:

1. Assistant Professor, EECE, GITAM University Patancheru Mandal, Hyderabad, Telangana 502329, India

2. Professor, Information Science and Engineering Atria Institute of Technology Hebbal, Bengaluru, Karnataka 560024, India

3. Professor, Electrical Electronics and Communication Engineering, GITAM University, Patancheru Mandal, Hyderabad, Telangana 502329, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2252551

Reference39 articles.

1. Selection of mother wavelets thresholding methods in denoising multi-channel EEG signals during working memory task

2. Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task

3. Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis

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1. Democratizing EEG: Embedding Electroencephalography in a Head-Mounted Display for Ubiquitous Brain-Computer Interfacing;International Journal of Human–Computer Interaction;2024-08-19

2. Bald eagle search algorithm: a comprehensive review with its variants and applications;Systems Science & Control Engineering;2024-08

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