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

被引:0
|
作者
Jung, Myung-Chul [1 ]
Mo, Seung-Min [2 ]
机构
[1] Department of Industrial Engineering, Ajou University, 206, World Cup-ro, Yeongtong-gu, Gyeonggi-do, Suwon-si,16499, Korea, Republic of
[2] Department of Occupational Safety and Health Management, Osan University, 45 Cheonghak-roGyeonggi-do, Osan-si,18119, Korea, Republic of
关键词
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; 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; serratus anterior; biceps; and triceps muscles under real driving conditions. © 2024 by the authors;
D O I
10.3390/s24185982
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Modeling Human Vehicle Driving by fuzzy logic for standardized ISO double lane change maneuver
    El Hajjaji, A
    Ouladsine, M
    ROBOT AND HUMAN COMMUNICATION, PROCEEDINGS, 2001, : 499 - 503
  • [2] Motion trajectory planning method of lane change for intelligent vehicle
    Li, Aijuan
    Li, Shunming
    Shen, Huan
    Miao, Xiaodong
    Li, Xiao
    Journal of Theoretical and Applied Information Technology, 2012, 45 (01) : 297 - 302
  • [4] Reproducible transverse dynamics vehicle evaluation in the double lane change
    Electronics Research Laboratory, of Volkswagen of America, Inc., Palo Alto
    CA, United States
    不详
    ATZ Worldw., 2008, 4 (44-49):
  • [5] Modeling of the Traffic Vehicle Lane Change Execution in Autonomous Driving Virtual Test
    Zong, Ruixue
    Deng, Weiwen
    Ren, Bingtao
    Bai, Xuesong
    Li, Jiangkun
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 994 - 999
  • [6] Driving Lane Change Intent Recognition Based on Vehicle Exterior Environment Variables
    Li, Shoutao
    Zhang, Luyu
    Yu, Dingli
    Tian, Yantao
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 9315 - 9319
  • [7] Probabilistic Prediction based Automated Driving Motion Planning Algorithm for Lane Change
    Chae, Heungseok
    Lee, Myungsu
    Yi, Kyongsu
    2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2017, : 1640 - 1645
  • [8] Multi-level cooperation between the driver and an automated driving system during lane change maneuver
    Benloucif, M. A.
    Popieul, J. C.
    Sentouh, C.
    2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2016, : 1224 - 1229
  • [9] Spatio-Temporal Corridor-Based Motion Planning of Lane Change Maneuver for Autonomous Driving in Multi-Vehicle Traffic
    Yoon, Youngmin
    Kim, Changhee
    Lee, Heeseong
    Seo, Dabin
    Yi, Kyongsu
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, : 1 - 21
  • [10] Predicting Lane Change and Vehicle Trajectory With Driving Micro-Data and Deep Learning
    Wang, Lei
    Zhao, Jianyou
    Xiao, Mei
    Liu, Jian
    IEEE ACCESS, 2024, 12 : 106432 - 106446