Automated Facial Emotion Detection using Arithmetic Optimization Algorithm with Deep Convolutional Neural Network for Autonomous Vehicle Drivers-Reference-Cited by-同舟云学术

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Automated Facial Emotion Detection using Arithmetic Optimization Algorithm with Deep Convolutional Neural Network for Autonomous Vehicle Drivers

Published:2023-12-11 Issue: Volume: Page:823-828
ISSN:
Container-title:2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)
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Author:

Saranya R.¹,Vijayaragavan M.²,Ismail Kalilulah S.³,Satyanarayana K.N.V.⁴,Suresh M.⁵,Srimathi S⁶

Affiliation:

1. R.M.K. College of Engineering and Technology,CSE Department

2. Mailam Engineering college, Mailam,Tindivanam T.k,Department of EEE,Villupuram Dist

3. Dr. MGR Educational and Research Institute, Periyar E.V.R. High Road, Maduravoyal,Computer Science and Engineering,Chennai,600095

4. S.R.K.R.ENGINEERING COLLEGE, China amiram,Dept of ECE,Bhimavaram,A.P.

5. Rajarajeswari College of Engineering,Department of ECE,Bangalore,560074

6. SIMATS,Saveetha School of Engineering,Department of Bio Technology,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404046/10404076/10404902.pdf?arnumber=10404902

Reference20 articles.

1. Multimodal Emotion Recognition based on Facial Expressions, Speech, and EEG

2. Valence-Arousal Model based Emotion Recognition using EEG, peripheral physiological signals and Facial Expression

3. Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings

4. Development of a Real-Time Emotion Recognition System Using Facial Expressions and EEG based on machine learning and deep neural network methods

5. Machine-Learning-Based Emotion Recognition System Using EEG Signals

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