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 …

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) …

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 …

Advances in Emotion Recognition for Driving: A Review of Uni-Modal and Multi-Modal Methods

M Chau, A Benterki, C Portaz, C Maaoui… - … on Control, Decision …, 2023 - ieeexplore.ieee.org
This review discusses the importance of detecting driver emotions to improve driving safety
and user experience. The article presents recent literature on emotion recognition in the …

[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 …

[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 …

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, developing a system capable of effective and …

Event Data Recorder And Transmitter For Vehicular Mishap Analysis Based On Sensor

KP Shiva, S Murugaanandam - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Communication technology advancements have a profound impact on the automotive
sector. On-Board Diagnostics (OBD) devices are standard in many modern passenger …

[PDF][PDF] Taking Mental Health and Well-Being to the Streets: A Longitudinal In-Vehicle Intervention Study on Public Roads

K Koch - 2023 - alexandria.unisg.ch
The increasing prevalence of mental illness worldwide calls for novel types of prevention
measures. Given the number of commuters who spend a substantial amount of time on the …