Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales:	Aminosharieh Najafi, Taraneh, Affanni, Antonio, Rinaldo, Roberto, Zontone, Pamela
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490517/ https://www.ncbi.nlm.nih.gov/pubmed/37687801 http://dx.doi.org/10.3390/s23177346

Ejemplares similares

Driver Attention Assessment Using Physiological Measures from EEG, ECG, and EDA Signals †
por: Aminosharieh Najafi, Taraneh, et al.
Publicado: (2023)

Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms
por: Aminosharieh Najafi, Taraneh, et al.
Publicado: (2022)

Development of an EEG Headband for Stress Measurement on Driving Simulators †
por: Affanni, Antonio, et al.
Publicado: (2022)

Exploring Physiological Signal Responses to Traffic-Related Stress in Simulated Driving †
por: Zontone, Pamela, et al.
Publicado: (2022)

Stress Evaluation in Simulated Autonomous and Manual Driving through the Analysis of Skin Potential Response and Electrocardiogram Signals
por: Zontone, Pamela, et al.
Publicado: (2020)

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
por: Jing, Luyang, et al.
Publicado: (2017)

IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion
por: Dehzangi, Omid, et al.
Publicado: (2017)

deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks
por: Luo, Ping, et al.
Publicado: (2019)

One-Stage Multi-Sensor Data Fusion Convolutional Neural Network for 3D Object Detection
por: Li, Minle, et al.
Publicado: (2019)

Convolutional Neural Network-Based Classification of Driver’s Emotion during Aggressive and Smooth Driving Using Multi-Modal Camera Sensors
por: Lee, Kwan Woo, et al.
Publicado: (2018)

Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model
por: Majeed, Fiaz, et al.
Publicado: (2023)

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
por: Doniec, Rafał, et al.
Publicado: (2023)

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
por: Wang, Shui-Hua, et al.
Publicado: (2021)

Deep Convolutional Neural Network With a Multi-Scale Attention Feature Fusion Module for Segmentation of Multimodal Brain Tumor
por: He, Xueqin, et al.
Publicado: (2021)

Multi-Sensor and Decision-Level Fusion-Based Structural Damage Detection Using a One-Dimensional Convolutional Neural Network
por: Teng, Shuai, et al.
Publicado: (2021)

Multi-Channel Fetal ECG Denoising With Deep Convolutional Neural Networks
por: Fotiadou, Eleni, et al.
Publicado: (2020)

Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment
por: Stępień, Igor, et al.
Publicado: (2021)

Multi-Modality Medical Image Fusion Using Convolutional Neural Network and Contrast Pyramid
por: Wang, Kunpeng, et al.
Publicado: (2020)

The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation
por: Wei, Bingzhe, et al.
Publicado: (2021)

Multi-Scale Feature Fusion Convolutional Neural Network for Indoor Small Target Detection
por: Huang, Li, et al.
Publicado: (2022)

Application of convolutional neural network in fusion and classification of multi-source remote sensing data
por: Ye, Fanghong, et al.
Publicado: (2022)

Convolutional Neural Networks for Mechanistic Driver Detection in Atrial Fibrillation
por: Ríos-Muñoz, Gonzalo Ricardo, et al.
Publicado: (2022)

An improved multi-input deep convolutional neural network for automatic emotion recognition
por: Chen, Peiji, et al.
Publicado: (2022)

Integration of Random Forest Classifiers and Deep Convolutional Neural Networks for Classification and Biomolecular Modeling of Cancer Driver Mutations
por: Agajanian, Steve, et al.
Publicado: (2019)

Mapping Driver Mutations to Histopathological Subtypes in Papillary Thyroid Carcinoma: Applying a Deep Convolutional Neural Network
por: Tsou, Peiling, et al.
Publicado: (2019)

A feature fusion deep-projection convolution neural network for vehicle detection in aerial images
por: Wang, Bin, et al.
Publicado: (2021)

An optimized deep convolutional neural network for adaptive learning using feature fusion in multimodal data
por: Gupta, Swadha, et al.
Publicado: (2023)

Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation
por: Juan, Chao-Kuei, et al.
Publicado: (2023)

Morphological diagnosis of hematologic malignancy using feature fusion-based deep convolutional neural network
por: Yadav, D. P., et al.
Publicado: (2023)

An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data
por: Liu, Yang, et al.
Publicado: (2019)

Multi-Focus Image Fusion Based on Convolution Neural Network for Parkinson’s Disease Image Classification
por: Dai, Yin, et al.
Publicado: (2021)

Human Fall Detection Using 3D Multi-Stream Convolutional Neural Networks with Fusion
por: Alanazi, Thamer, et al.
Publicado: (2022)

Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network
por: Li, Hongmei, et al.
Publicado: (2019)

Deep PUF: A Highly Reliable DRAM PUF-Based Authentication for IoT Networks Using Deep Convolutional Neural Networks
por: Najafi, Fatemeh, et al.
Publicado: (2021)

Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform
por: Li, Guoqiang, et al.
Publicado: (2019)

Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images
por: Hu, Weijun, et al.
Publicado: (2019)

A Deep Siamese Convolution Neural Network for Multi-Class Classification of Alzheimer Disease
por: Mehmood, Atif, et al.
Publicado: (2020)

3D multi-scale deep convolutional neural networks for pulmonary nodule detection
por: Peng, Haixin, et al.
Publicado: (2021)

Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation
por: Liu, Yuan, et al.
Publicado: (2022)

An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis
por: Li, Shaobo, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_ca3a55qiuvr1dq9707v7vvoh8k