Advertisement

Correlation of Driver Head Posture and Trapezius Muscle Activity as Comfort Assessment of Car Seat

  • Alberto VergnanoEmail author
  • Francesco Pegreffi
  • Francesco Leali
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)

Abstract

Car design must very care comfort and driving pleasure. Nonetheless, the design choices are tested with subjective evaluations. In the present research, an objective measurement equipment for driving comfort assessment is proposed. The muscles activity of the driver in different maneuvers is considered the gauge of her/his feeling with the car. The activity of trapezius muscles of both shoulders is monitored by electromyography (EMG), through electrodes applied to her/his skin. The driver posture is monitored with a robust device for head tracking, using two 9-axis orientation sensors, including gyroscope. Real driving experiments are performed both with a luxury SUV and a high-end car. As expected, the first resulted more comfortable. The proposed equipment proved to be effective in assessing the driving comfort for different seat designs and car layouts.

Keywords

Comfort Driveability Electromyography Head tracking 

Notes

Acknowledgements

The authors gratefully acknowledge NCS Lab Srl, Carpi, Italy, for supporting the research with an effective test system and with precious knowledge.

References

  1. 1.
    Grujicic, M., Pandurangan, B., Xie, X., Gramopadhye, A.K., Wagner, D., Ozen, M.: Musculoskeletal computational analysis of the influence of car-seat design/adjustments on long-distance driving fatigue. Int. J. Ind. Ergon. 40(3), 345–355 (2010)CrossRefGoogle Scholar
  2. 2.
    Schüldt, K., Ekholm, J., Harms-Ringdahl, K., Arborelius, U.P., Németh, G.: Influence of sitting postures on neck and shoulder EMG during arm-hand work movements. Clin. Biomech. 2(3), 126–139 (1987)CrossRefGoogle Scholar
  3. 3.
    Vergnano, A., Leali, F.: Monitoring driver posture through sensorized seat. In: 1st International Conference on Human Systems Engineering and Design: Future Trends and Applications, Reims (2018)Google Scholar
  4. 4.
    Vergnano, A., Leali, F.: Out of position driver monitoring from seat pressure in dynamic maneuvers. In: 2nd International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, San Diego (2019)Google Scholar
  5. 5.
    Cutti, A.G., Giovanardi, A., Rocchi, L., Davalli, A., Sacchetti, R.: Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors. Med. Biol. Eng. Comput. 46(2), 169–178 (2008)CrossRefGoogle Scholar
  6. 6.
    Cutti, A.G., et al.: Prediction bands and intervals for the scapulo-humeral coordination based on the Bootstrap and two Gaussian methods. J. Biomech. 47(5), 1035–1044 (2014)CrossRefGoogle Scholar
  7. 7.
    Hermens, H.J., Freriks, B., Disselhorst-Klug, C., Rau, G.: Development of recommendations for SEMG sensors and sensor placement procedures. J. Electromyogr. Kinesiol. 10(5), 361–374 (2000)CrossRefGoogle Scholar
  8. 8.
    Konrad, P.: The ABC of EMG. A Practical Introduction to Kinesiological Electromyography. Noraxon U.S.A. Inc., Scottsdale (2006)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alberto Vergnano
    • 1
    Email author
  • Francesco Pegreffi
    • 2
  • Francesco Leali
    • 1
  1. 1.Department of Engineering Enzo FerrariUniversity of Modena and Reggio EmiliaModenaItaly
  2. 2.School of Pharmacy, Biotechnology and Motor SciencesUniversity of BolognaRiminiItaly

Personalised recommendations