Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Sep 15;24(18):5982.
doi: 10.3390/s24185982.

Correlation between Muscular Activity and Vehicle Motion during Double Lane Change Driving

Affiliations

Correlation between Muscular Activity and Vehicle Motion during Double Lane Change Driving

Myung-Chul Jung et al. Sensors (Basel). .

Abstract

The aim of this study was to compare the correlation between electromyography (EMG) activity and vehicle motion during double lane change driving. This study measured five vehicle motions: the steering wheel angle, steering wheel torque, lateral acceleration, roll angle, and yaw velocity. The EMG activity for 19 muscles and vehicle motions was applied for envelope detection. There was a significantly high positive correlation between muscles (mean correlation coefficient) for sternocleidomastoid (0.62) and biceps brachii (0.71) and vehicle motions for steering wheel angle, steering wheel torque, lateral acceleration, and yaw velocity, but a negative correlation between the muscles for middle deltoid (-0.75) and triceps brachii long head (-0.78) and these vehicle motions. The ANOVA test was used to analyze statistically significant differences in the main and interaction effects of muscle and vehicle speed. The mean absolute correlation coefficient exhibited an increasing trend with the increasing vehicle speed for the muscles (increasing rate%): upper trapezius (30.5%), pectoralis major sternal (38.7%), serratus anterior (13.3%), and biceps brachii (11.0%). The mean absolute correlation coefficient showed a decreasing trend with increasing vehicle speed for the masseter (-9.6%), sternocleidomastoid (-12.9%), middle deltoid (-5.5%), posterior deltoid (-20.0%), pectoralis major clavicular (-13.4%), and triceps brachii long head (-6.3%). The sternocleidomastoid muscle may decrease with increasing vehicle speed as the neck rotation decreases. As shoulder stabilizers, the upper trapezius, pectoralis major sternal, and serratus anterior muscles are considered to play a primary role in maintaining body balance. This study suggests that the primary muscles reflecting vehicle motions include the sternocleidomastoid, deltoid, upper trapezius, pectoralis major sternal, serratus anterior, biceps, and triceps muscles under real driving conditions.

Keywords: correlation; double lane change; electromyography; muscular activity; vehicle motion.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Double lane change course (vehicle width is 1.79 m).
Figure 2
Figure 2
Example signals of EMG activities (a) for sternocleidomastoid (SCM), anterior deltoid (AD), pectoralis major sternal (PMS), biceps brachii (BB), triceps brachii long head (TL), and flexor digitorum superficialis (FDS) and vehicle motions (b) for steering wheel angle (SWA), steering wheel torque (SWT), lateral acceleration (LatAcc), roll angle (Roll), and yaw velocity (YawVel) during double lane change at 100 km/h speed.
Figure 3
Figure 3
Mean absolute correlation coefficient for muscle main effect with Tukey post hoc test.
Figure 4
Figure 4
Mean absolute correlation coefficient for two-way interaction effect between muscle and vehicle motion.
Figure 5
Figure 5
Mean absolute correlation coefficient for two-way interaction effect between muscle and vehicle speed.

Similar articles

Cited by

References

    1. Lei F., Bai Y., Zhu W., Liu J. A novel approach for electric powertrain optimization considering vehicle power performance, energy consumption and ride comfort. Energy. 2019;167:1040–1050. doi: 10.1016/j.energy.2018.11.052. - DOI
    1. Wang X., Agatz N., Erera A. Stable matching for dynamic ride-sharing systems. Transp. Sci. 2017;52:850–867. doi: 10.1287/trsc.2017.0768. - DOI
    1. Babala M., Kempen G., Zatyko P. Trade-Offs for Vehicle Stability Control Sensor Sets. SAE Congress; Detroit, MI, USA: 2002. Paper 2002-01-1587. - DOI
    1. Liu R., Wei M., Sang N., Wei J. Research on curved path tracking control for four-wheel steering vehicle considering road adhesion coefficient. Math. Probl. Eng. 2020;2020:3108589. doi: 10.1155/2020/3108589. - DOI
    1. Ryu J., Gerdes J.C. Integrating inertial sensors with global positioning system (GPS) for vehicle dynamics control. J. Dyn. Syst. Meas. Control. 2004;126:243–254. doi: 10.1115/1.1766026. - DOI

LinkOut - more resources