Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods

Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods

In an intelligent driving environment, monitoring the physiological state of drivers is crucial for ensuring driving safety. This paper proposes a method for monitoring and analyzing driver physiological characteristics by combining electronic vehicle identification (EVI) with multimodal biometric r...

Full description

Saved in:
Bibliographic Details
Main Authors: Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Algorithms
Subjects:
driver physiological monitoring
electronic vehicle identification
multimodal biometric recognition
adaptive weight adjustment
convolutional neural network
Long Short-Term Memory (LSTM) network
Online Access:https://www.mdpi.com/1999-4893/17/12/547
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1999-4893/17/12/547

Similar Items