Driver Cognitive Workload Classification Using Physiological Responses

DP Wozniak - 2023 - oaktrust.library.tamu.edu
Motor vehicle crashes (MVCs) are a leading cause of death for law enforcement officers
(LEOs) in the US LEOs and more specifically novice LEOs (nLEOs) are susceptible to high …

Cognitive workload classification of law enforcement officers using physiological responses

D Wozniak, M Zahabi - Applied Ergonomics, 2024 - Elsevier
Motor vehicle crashes (MVCs) are a leading cause of death for law enforcement officers
(LEOs) in the US LEOs and more specifically novice LEOs (nLEOs) are susceptible to high …

Real-time Driver Cognitive Strain Evaluation System Based on Multivariate Biosignal Analysis

T Shimizu, K Shima, T Mukaeda, S Muraji, J Matsuo… - 2022 - researchsquare.com
Traffic accidents are often attributed to reduced attentional capacity, as vehicle operations
involve complex tasks that depend on the driver's mental workload (MWL). Cognitive strain …

Classification and Prediction of Driver's Mental Workload Based on Long Time Sequences and Multiple Physiological Factors

W Wei, X Fu, Y Zhu, N Lu, S Ma - IEEE Access, 2023 - ieeexplore.ieee.org
The driver's mental workload is closely related to driving safety. However, how to analyze
the driver's mental workload in a reasonable and correct manner remains an open question …

Classification of driver cognitive load based on physiological data: Exploring recurrent neural networks

S Kumar, D He, G Qiao… - … Conference on Advanced …, 2022 - ieeexplore.ieee.org
In-vehicle systems can lead to high cognitive load that impairs driving performance.
Interfaces that can detect and adapt to cognitive load accordingly may alleviate these effects …

[HTML][HTML] Non-contact-based driver's cognitive load classification using physiological and vehicular parameters

H Rahman, MU Ahmed, S Barua, S Begum - Biomedical Signal Processing …, 2020 - Elsevier
Classification of cognitive load for vehicular drivers is a complex task due to underlying
challenges of the dynamic driving environment. Many previous works have shown that …

Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiogram-Based Spectrogram with Lightweight Neural Network

W Shi, Z Wang, A Wang, D He - Transportation Research …, 2024 - journals.sagepub.com
With the development of conditionally automated driving, drivers will be allowed to perform
non-driving-related tasks. Under such circumstances, continuous monitoring of driver …

[PDF][PDF] Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing ECG-based Spectrogram with Light-weight Neural Network

W Shi, Z Wang, A Wang - personal.hkust-gz.edu.cn
With the development of conditionally automated driving, drivers will be allowed to perform
non-drivingrelated tasks. Under such circumstances, continuous monitoring of driver …

Classifying drivers' cognitive load using EEG signals

S Barua, MU Ahmed, S Begum - pHealth 2017, 2017 - ebooks.iospress.nl
A growing traffic safety issue is the effect of cognitive loading activities on traffic safety and
driving performance. To monitor drivers' mental state, understanding cognitive load is …

[HTML][HTML] Towards intelligent data analytics: A case study in driver cognitive load classification

S Barua, MU Ahmed, S Begum - Brain sciences, 2020 - mdpi.com
One debatable issue in traffic safety research is that the cognitive load by secondary tasks
reduces primary task performance, ie, driving. In this paper, the study adopted a version of …