Hybrid hunt-based deep convolutional neural network for emotion recognition using EEG signals-Reference-Cited by-同舟云学术

Hybrid hunt-based deep convolutional neural network for emotion recognition using EEG signals

Published:2022-01-31 Issue:12 Volume:25 Page:1311-1331
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:

Wankhade Sujata Bhimrao¹,Doye Dharmpal Dronacharya²

Affiliation:

1. Computer Science and Engineering Department, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra, India

2. Department of Electronic and Telecommunication Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra, India

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2021.2007889

Reference47 articles.

1. Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors

2. Rider-Deep-LSTM Network for Hybrid Distance Score-Based Fault Prediction in Analog Circuits

3. Measuring emotion: The self-assessment manikin and the semantic differential

4. Emotion Recognition from Multiband EEG Signals Using CapsNet

5. Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework

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