Emotion Recognition Using EEG Signals: Accuracy Comparison Between Methods and Frequency Bands-Reference-Cited by-同舟云学术

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Emotion Recognition Using EEG Signals: Accuracy Comparison Between Methods and Frequency Bands

Published:2021-11-17 Issue: Volume: Page:
ISSN:
Container-title:2021 9th RSI International Conference on Robotics and Mechatronics (ICRoM)
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Author:

Nazemi Hamed,Taheri Alireza,Meghdari Ali,Boroushaki Mehrdad,Ghazizadeh Ali

Funder

Sharif University of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9663416/9663433/09663493.pdf?arnumber=9663493

Reference29 articles.

1. Adaptive facial point detection and emotion recognition for a humanoid robot

2. Sign to letter translator system using a hand glove

3. A k-nearest-neighbor classifier with heart rate variability feature-based transformation algorithm for driving stress recognition

4. Investigation of EEG abnormalities in the early stage of Parkinson’s disease

5. Brain-computer interface for hands-free teleoperation of construction robots

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DrivEmo: A Novel Approach for EEG-Based Emotion Classification for Drivers;2023 International Research Conference on Smart Computing and Systems Engineering (SCSE);2023-06-29

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