Deep Learning-Based Drivers Emotion Classification System in Time Series Data for Remote Applications

Deep Learning-Based Drivers Emotion Classification System in Time Series Data for Remote Applications

Aggressive driving emotions is indeed one of the major causes for traffic accidents throughout the world. Real-time classification in time series data of abnormal and normal driving is a keystone to avoiding road accidents. Existing work on driving behaviors in time series data have some limitations...

Full description

Bibliographic Details
Main Authors: Rizwan Ali Naqvi, Muhammad Arsalan, Abdul Rehman, Ateeq Ur Rehman, Woong-Kee Loh, Anand Paul
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
emotions sensing
aggressive driving
normal driving
time series data
change in gaze
facial emotions
gaze tracking
deep learning
Online Access:https://www.mdpi.com/2072-4292/12/3/587

Internet

https://www.mdpi.com/2072-4292/12/3/587

Similar Items