Drivers’ Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks

Drivers’ Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks

In this paper, we present a comprehensive assessment of individuals’ mental engagement states during manual and autonomous driving scenarios using a driving simulator. Our study employed two sensor fusion approaches, combining the data and features of multimodal signals. Participants in our experime...

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Bibliographic Details
Main Authors: Taraneh Aminosharieh Najafi, Antonio Affanni, Roberto Rinaldo, Pamela Zontone
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
sensor fusion
drivers’ mental engagement
electroencephalogram
electrodermal activity
electrocardiogram
deep convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/23/17/7346

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