scispace - formally typeset
Journal ArticleDOI

Grip and Electrophysiological Sensor-Based Estimation of Muscle Fatigue While Holding Steering Wheel in Different Positions

TLDR
The 8–4 position can be concluded as the best position to hold the steering wheel to reduce the risk of muscle fatigue and other injuries to drivers during prolonged driving.
Abstract
Hand position while driving varies considerably among drivers and it depends on their training and habit of driving. In this paper, we have estimated muscle fatigue of drivers using sensors to measure interfacial grip pressure and surface electromyography (sEMG) for three different steering wheel holding positions, i.e., 10–2, 9–3, and 8–4, during simulated driving. Thirty volunteers participated in this study by performing 60 min of simulated driving. sEMG study did not show a significant ( ${p} ) rate of increase in muscle fatigue while driving in 8–4 position when compared with 10–2 and 9–3 positions. Interfacial grip pressure showed that the mechanical loading acting on the palm of the hands was distributed while holding steering wheel in 8–4 position. In comparison, 10–2 and 9–3 positions showed a point palmar loading. In 8–4 position, the rate of decrease of interfacial grip pressure features such as contact pressure was observed to be significantly ( ${p} ) lower than 10–2 and 9–3 positions. This implies that the rate of fatigue will be lower while holding steering wheel in the 8–4 position. Based on the result from this paper, the 8–4 position can be concluded as the best position to hold the steering wheel to reduce the risk of muscle fatigue and other injuries to drivers during prolonged driving.

read more

Citations
More filters
Journal ArticleDOI

Video-Based Abnormal Driving Behavior Detection via Deep Learning Fusions

TL;DR: Three novel deep learning-based fusion models inspired by the recently proposed and popular densely connected convolutional network (DenseNet) are introduced, to fulfill the video-based abnormal driving behavior detection task for the first time.
Proceedings ArticleDOI

Study to Determine the Effectiveness of Deep Learning Classifiers for ECG Based Driver Fatigue Classification

TL;DR: This paper verify the superiority of the deep learning approaches over machine learning methods for driver fatigue detection using electrocardiography (ECG) using heart rate variability (HRV) derived from ECG, and directly controlled by the autonomic nervous system.
Journal ArticleDOI

Viability of Cardiac Parameters Measured Unobtrusively Using Capacitive Coupled Electrocardiography (cECG) to Estimate Driver Performance

TL;DR: Validation of c ECG with conventional ECG will be very helpful in considering cECG as a good replacement of conventional ECGs to detect non-contact ubiquitous driver performance monitoring.
Journal ArticleDOI

Meta-analysis of the effects of game types and devices on older adults-video game interaction: Implications for video game training on cognition.

TL;DR: In this article, a meta-analysis aimed to evaluate the effects of video game types and game devices in video game training on the cognition of older adults and found that mouse/keyboard was superior over other video game devices on perceptual-motor function.
Proceedings ArticleDOI

Comparison of Driver Fatigue Trend on simulator and on-road driving based on EMG correlation

TL;DR: EMG study performed on the simulator can be used a surrogate of EMG on-road study and found significant correlation between EMG (Simulator) and EMg (on-road) signals which was 0.05.
References
More filters
Journal ArticleDOI

The assessment and analysis of handedness: The Edinburgh inventory

TL;DR: An inventory of 20 items with a set of instructions and response- and computational-conventions is proposed and the results obtained from a young adult population numbering some 1100 individuals are reported.
Journal ArticleDOI

Detecting stress during real-world driving tasks using physiological sensors

TL;DR: The results show that for most drivers studied, skin conductivity and heart rate metrics are most closely correlated with driver stress level, indicating that physiological signals can provide a metric of driver stress in future cars capable of physiological monitoring.
Book

Human Factors in Engineering and Design

TL;DR: Human factors in engineering and design, Human factors in Engineering and design as mentioned in this paper, human factors in design and engineering, human factor in engineering, and design in software engineering and software engineering.

Human factors engineering and design

TL;DR: Human factors engineering and design, Human factors engineering, and design of human factors, human factors engineering as discussed by the authors, human factor engineering, human factor design, and the design of the human factors.
Journal ArticleDOI

Neurobiology of muscle fatigue.

TL;DR: This work proposes four themes that provide a basis for the systematic evaluation of the neural and neuromuscular fatigue mechanisms and suggests a number of experiments to advance the understanding of the neurobiology of muscle fatigue.
Related Papers (5)