Comparative study of machine learning algorithms in classifying HRV for the driver's physiological condition

SFA Razak, SNMS Ismail, S Yogarayan… - Civil Engineering …, 2023 - civilejournal.org
Abstract Heart Rate Variability (HRV) may be used as a psychological marker to assess
drivers' states from physiological signals such as an electrocardiogram (ECG) …

A digitally embroidered metamaterial biosensor for kinetic environments

Q Zeng, X Tian, DT Nguyen, C Li, P Chia, BCK Tee… - Nature …, 2024 - nature.com
Biosensors could be used in vehicles to monitor driver alertness, detect impairment and
gauge stress levels. However, measuring biomarkers, such as heart rate and respiration …

Capturing cognitive load management during authentic virtual reality flight training with behavioural and physiological indicators

J Lämsä, J Mannonen, A Tuhkala… - Journal of computer …, 2023 - Wiley Online Library
Background Cognitive load (CL) management is essential in safety‐critical fields so that
professionals can monitor and control their cognitive resources efficiently to perform and …

AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects

SG Ahmed, K Verbert, N Siedahmed, A Khalil… - IEEE …, 2025 - ieeexplore.ieee.org
Advanced technologies, notably camera-based systems using remote
photoplethysmography (rPPG), are increasingly used in automotive safety to non-invasively …

Quality-Based rPPG Compensation With Temporal Difference Transformer for Camera-Based Driver Monitoring

K Lee, H Seo, S Kim, BS An, S Park… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Remote photoplethysmography (rPPG) is a method for monitoring pulse signal by utilizing a
camera sensor to capture a facial video including variations in blood flow beneath the skin …

[HTML][HTML] Decoding the silent language: A framework for advanced visual emotion recognition to enhance worker well-being on IIoT-enabled manufacturing

N Rezaei, SA Vaezi, JA Camelio - Manufacturing Letters, 2024 - Elsevier
Abstract The Industrial Internet of Things (IIoT), pivotal in the Industry 4.0 revolution, has
transformed manufacturing, particularly assembly lines, by enabling real-time process …

A multi-view driver drowsiness detection method using transfer learning and population-based sampling strategy

J Chen, Z Fang, J Wang, J Chen… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Driver drowsiness is an important factor in traffic safety. Thus, many researchers endeavor to
develop a reliable driver drowsiness detection system. However, the large variation of the …

Seatbelt-Embroidered Metamaterials for In-Vehicle Vital Sign Monitoring

Q Zeng, X Tian, DT Nguyen, X Yang… - 2023 IEEE/MTT-S …, 2023 - ieeexplore.ieee.org
Continuous in-vehicle physiological monitoring can improve safety through early detection
of driver fatigue and drowsiness. However, develo** a system capable of effective and …

Dual-Modal Drowsiness Detection to Enhance Driver Safety.

YX Chew, SFA Razak, S Yogarayan… - Computers …, 2024 - search.ebscohost.com
In the modern world, the increasing prevalence of driving poses a risk to road safety and
necessitates the development and implementation of effective monitoring systems. This …

[PDF][PDF] The Empathetic Car: Detecting Emotion and Well-being of Drivers under Naturalistic Condition

S Liu - 2022 - research-collection.ethz.ch
Vehicles are an integral part of modern life. Across the globe, the number of vehicles has
witnessed an enormous increases from around 193 million in the 1970's in the last century …