Real-Time Prediction of Car Driver’s Emotions using Facial Expression with a Convolutional Neural Network-based Intelligent System

When driving, the most crucial factor to consider is you and your passengers' safety. Drivers must be kept under observation for any potential harmful act, whether intentional or inadvertent, in order to ensure a safe navigation. As a result, a real-time emotion detection system for a driver ha...

Full description

Saved in:
Bibliographic Details
Published in:International journal of performability engineering 2022-11, Vol.18 (11), p.791
Main Authors: Wawage, Pawan, Deshpande, Yogesh
Format: Article
Language:English
Subjects:
Artificial neural networks
Automobile drivers
Emotion recognition
Emotional factors
Emotions
Image classification
Neural networks
Passenger safety
R&D
Real time
Research & development
Security systems
Traffic accidents & safety
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:When driving, the most crucial factor to consider is you and your passengers' safety. Drivers must be kept under observation for any potential harmful act, whether intentional or inadvertent, in order to ensure a safe navigation. As a result, a real-time emotion detection system for a driver has been developed to detect, exploit, and evaluate the driver's emotional state. This paper discusses how to recognize emotions using facial expressions for application in active security systems for drivers. We discuss our research and development of a Convolutional Neural Network-based intelligent system for face image-based expression classification in this paper.
ISSN:0973-1318
DOI:10.23940/ijpe.22.11.p4.791797