Optimally-Weighted Image-Pose Approach (OWIPA) for Distracted Driver Detection and Classification

Optimally-Weighted Image-Pose Approach (OWIPA) for Distracted Driver Detection and Classification

Distracted driving is the prime factor of motor vehicle accidents. Current studies on distraction detection focus on improving distraction detection performance through various techniques, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). However, the research on d...

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Bibliographic Details
Main Authors: Hong Vin Koay, Joon Huang Chuah, Chee-Onn Chow, Yang-Lang Chang, Bhuvendhraa Rudrusamy
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
optimally-weighted image-pose approach (OWIPA)
convolutional neural network (CNN)
deep learning
pose estimation
distraction detection
distraction classification
Online Access:https://www.mdpi.com/1424-8220/21/14/4837

Internet

https://www.mdpi.com/1424-8220/21/14/4837

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