On Study of Driver’s Shoulder Fatigue in Manual and Automatic on Grassland Highway

Abstract:

On the grassland highway, the driver is prone to muscle fatigue because of the particularity of its landscape and the linear structure. And vehicle operating system leads to different degree of muscle fatigue. In order to explore the pilot fatigue characteristics in grassland under different operation conversion highway, put forward the fatigue improve measures and improving the quality of driving, I use the real driving test. In this paper, we study the manual and automatic driver’s shoulder muscle fatigue with method of frequency domain analysis through testing the driver, obtaining MF of trapezius muscle in static measurement and the surface electronical signal of the trapezius muscle after 110 minutes’ driving. We devide the drivers into 2 groups (5 drivers in manual group, 5 drivers in automatic group). The results show that the automatic driver’s MF has significantly negative correlation (P =- 0.521) before and after the static test, which suggests automatic driver will be afflicted with shoulder muscle fatigue; The manual drive’s MF before and after the test tends to decrease with time (SlopeMS =- 0.0076, SlopeMD =- 0.0582), which suggests that after test, drivers in manual group are in the right shoulder fatigue, and before test, the decline of MF shows the drivers’ fatigue accumulation. After test, MF of manual and automatic group increases (SlopeAD =- 0.01, SlopeMD =- 0.058), which shows that driving on grassland highway can lead to the driver’s muscle fatigue with the extension of time; and vehicle operating system leads to different degree of muscle fatigue.

• Periodical: Advanced Materials Research (Volumes 1030-1032)
• Pages: 2054-2060
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.2054
• Online since: September 2014
• Authors: Xiao Jing Chen, Chun Hua Qi*, Shou Lin Zhu, Ming Xing Gao, Feng Yang
• Keywords: Automatic Manual, Frequency Domain Analysis, Shoulder Fatigue

References

[1] LI-Xianghong. Prairie highway landscape impact on the driver's psychological and physiological research[D]. Inner Mongolia Agricultural University doctoral dissertation, (2010).

[2] WANG-Haixiao. Based on the driver's dynamic visual characteristics of prairie road environment[D]. Inner Mongolia Agricultural University master's degree thesis, (2012).

[3] TIAN- Qiang, HUANG- Liping, YU-Shiqing, et al. The effect of 8 hour driving on sEMG signal changes of lumbar muscles and the tibialis anterior muscles in middle-aged male taxi drivers[J]. Chinese Journal of Rehabilitation Medicine, 2008, 23(1): 19-22.

[4] I. Hostens, H. Ramon. Assessment of muscle fatigue in low level monotonous task performance during car driving [J]. Journal of Electromyography and Kinesiology 15 (2005) 266–274.

DOI: 10.1016/j.jelekin.2004.08.002

[5] Kankaanpaa M, Laaksonen D, Taimela S, et al. Age, sexand body mass index as determinants of back and hip ex-tensor fatigue in the isometric sorensen back endurance test [J]. Archives of Physical Medicine and Rehabilitation, 1998, 79(9): 1069-1075.

DOI: 10.1016/s0003-9993(98)90173-3

[6] Ortengren R, Andersson GBJ. Electromyographic studies of trunk muscles with special reference to functional anatomy of the lumbar spine[J]. Spine, 1977, 2(1): 44-52.

DOI: 10.1097/00007632-197703000-00005

[7] Cooper RG, Stokes MJ. Load-induced inflexion of the surface electromyographic signal during isometric fatiguing activity of normal human paraspinal muscle[J]. Electromyography and clinical neurophysiology, 1994, 34(2): 177-184.

[8] HAGG G M. Interpretation of EMG spectral alternations and alternation indexes at sustained contraction [J]. J. Appl. Physiol., 1992, 73(4): 1211-1217. HAGG G M，(1992).

DOI: 10.1152/jappl.1992.73.4.1211

[9] CHEN-Jingnong, WANG-Jian, ZHU-Zuxiang. Analysis of the multi-channel semg application in the low back muscle function evaluation[J]. Ergonomics 2000, 6（2）: 61-63.

[10] TU-Hongjun. Methods of electrical diagram evaluation of muscle function[J]. Chinese Journal of clinical Rehabilitation, 2002, 6(23): 3514-3515.

[11] SEIDEL H, BEYER H, BRAUER D. Electromyographic evaluation of back muscle fatigue with repeated sustained contractions of different strengths[J]. Eur J Appl Physiol, 1987, (56): 592-602.

DOI: 10.1007/bf00635375

[12] L. Lindström, R. Magnusson, I. Petersén, Muscular fatigue and action potential conduction velocity changes studied with frequency analysis of EMG signals, Electromyography 10 (1970) 341–356.

[13] F.R. Stulen, C.J. De Luca, Frequency parameters of the myoelectric signals as a measure of muscle conduction velocity, IEEE Trans. Biomed. Eng. 28 (1981) 515–523.

DOI: 10.1109/tbme.1981.324738