Application of physiological sensors for personalization in semi-autonomous driving: A review

EJC Nacpil, Z Wang, K Nakano - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
As automobiles become increasingly autonomous, there is growing interest in personalized
automation based on human behavior. However, there is an increasing need for behavioral …

Cardiac indices of driver fatigue across in-lab and on-road studies

O Musicant, B Richmond-Hacham, A Botzer - Applied Ergonomics, 2024 - Elsevier
Driver fatigue is a major contributor to road accidents. Therefore, driver assistance systems
(DAS) that would monitor drivers' states may contribute to road safety. Such monitoring can …

Linear and nonlinear analyses of heart rate variability signals under mental load

T Hao, X Zheng, H Wang, K Xu, S Chen - Biomedical Signal Processing …, 2022 - Elsevier
Mental load has an important effect on the efficiency and reliability of human–machine
systems. This study discussed in this paper looked at the heart rate variability (HRV) signal …

Linear and nonlinear analyses of normal and fatigue heart rate variability signals for miners in high-altitude and cold areas

S Chen, K Xu, X Zheng, J Li, B Fan, X Yao… - Computer Methods and …, 2020 - Elsevier
Background and objective Fatigue is an important cause of operational errors, and human
errors are the main cause of accidents. This study is an exploratory study in China. Field …

Influence of capacitive coupling on high-fidelity non-contact ECG measurement

TW Wang, H Zhang, SF Lin - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Non-contact electrocardiogram (ECG) measurement is an advanced sensing technique that
uses capacitive electrodes to detect cardiac signals through non-conductive fabrics …

Psychophysiological data-driven multi-feature information fusion and recognition of miner fatigue in high-altitude and cold areas

S Chen, K Xu, X Yao, S Zhu, B Zhang, H Zhou… - Computers in biology …, 2021 - Elsevier
Fatigue-induced human error is a leading cause of accidents. The purpose of this
exploratory study in China was to perform field tests to measure fatigue psychophysiological …

Non-contact electrocardiograms acquisition method based on capacitive coupling

Z Xiao, Y Xing, C Yang, J Li… - IEEE Instrumentation & …, 2022 - ieeexplore.ieee.org
Electrocardiogram (ECG) monitoring is an essential method for medical diagnosis [1],[2].
With the development of technology, better quality physiological signals can be easily …

Identification and classification of physical fatigue in construction workers using linear and nonlinear heart rate variability measurements

S Anwer, H Li, W Umer, MF Antwi-Afari… - Journal of …, 2023 - ascelibrary.org
Several studies have analyzed heart rate variability (HRV) using nonlinear methods, such as
approximate entropy, the largest Lyapunov exponent, and correlation dimension in patients …

Information fusion and multi-classifier system for miner fatigue recognition in plateau environments based on electrocardiography and electromyography signals

S Chen, K Xu, X Yao, J Ge, L Li, S Zhu, Z Li - Computer Methods and …, 2021 - Elsevier
Background and objective Human factors are important contributors to accidents, especially
human error induced by fatigue. In this study, field tests and analyses were conducted on …

Real-time monitoring and prediction of remote operator fatigue in plateau deep mining based on dynamic Bayesian networks

S Chen, L Pan, K Xu, X Li, Y Zuo, Z Zhou, B Li, Z Dai… - Scientific Reports, 2025 - nature.com
Fatigue can cause human error, which is the main cause of accidents. In this study, the
dynamic fatigue recognition of unmanned electric locomotive operators under high-altitude …