DOI QR코드

DOI QR Code

Measurements of pedestrian's ioad using smartphones

  • Pan, Ziye (Department of Structural Engineering, Tongji University) ;
  • Chen, Jun (Department of Structural Engineering, Tongji University)
  • Received : 2016.10.29
  • Accepted : 2017.06.02
  • Published : 2017.09.25

Abstract

The applications of smartphones or other portable smart devices have dramatically changed people's lifestyle. Researchers have been investigating useage of smartphones for structural health monitoring, earthquake monitoring, vibration measurement and human posture recognition. Their results indicate a great potential of smartphones for measuring pedestrian-induced loads like walking, jumping and bouncing. Smartphone can catch the device's motion trail, which provides with a new method for pedestrain load measurement. Therefore, this study carried out a series of experiments to verify the application of the smartphone for measuring human-induced load. Shaking table tests were first conducted in order to compare the smartphones' measurements with the real input signals in both time and frequency domains. It is found that selected smartphones have a satisfied accuracy when measuring harmonic signals of low frequencies. Then, motion capture technology in conjunction with force plates were adopted in the second-stage experiment. The smartphone is used to record the acceleration of center-of-mass of a person. The human-induced loads are then reconstructed by a biomechanical model. Experimental results demonstrate that the loads measured by smartphone are good for bouncing and jumping, and reasonable for walking.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation

References

  1. Belli, A., Bui, P., Berger, A., Geyssant, A. and Lacour, J.R. (2001), "A treadmill ergometer for three-dimensional ground reaction forces measurement during walking", J. Biomech., 34(1), 105-112. https://doi.org/10.1016/S0021-9290(00)00125-1
  2. Bocian, M., Brownjohn, J.M.W., Racic, V., Hester, D., Quattrone, A. and Monnickendam, R. (2016), "A framework for experimental determination of localized vertical pedestrian forces on full-scale structures using wireless attitude and heading reference systems", J. Sound Vib., 376, 217-243 https://doi.org/10.1016/j.jsv.2016.05.010
  3. Chen, J., Tan, H. and Pan, Z. (2016), "Experimental validation of smartphones for measuring human-induced loads", Smart Struct. Syst., 18(3), 625-642. https://doi.org/10.12989/sss.2016.18.3.625
  4. InvenSense(R) on-line website, https://www.invensense.com/solutions/mobile/.
  5. Jones, C.A., Reynolds, P. and Pavic, A. (2011), "Vibration serviceability of stadia structures subjected to dynamic crowd loads: a literature review", J. Sound Vib., 330(8), 1531-1566. https://doi.org/10.1016/j.jsv.2010.10.032
  6. Khan, A.M., Lee, Y.K., Lee, S.Y. and Kim, T.S. (2010), "Human activity recognition via an accelerometer-lnabled-smartphone using kernel discriminant analysis", 2010 5th International Conference on Future Information Technology, Busan, Korea, June.
  7. Orai, N., Ichii, K. and Ishii, S. (2015), "A trial of simple and easy health monitoring for power poles by using 'ipod'", Sci. China Technol. Sci., 58(4), 712-719. https://doi.org/10.1007/s11431-015-5782-7
  8. Reilly, J., Dashti, S. and Ervasti, M. (2013), "Mobile phones as seismologic sensors: automating data extraction for the iShake system", IEEE Tran. Autom. Sci. Eng., 10(2), 242-251. https://doi.org/10.1109/TASE.2013.2245121
  9. Yu, Y., Han, R., Zhao, X., Mao, X., Hu, W., Jiao, D., ... and Ou, J. (2015), "Initial validation of mobile-structural health monitoring method using smartphones", International Journal of Distributed Sensor Networks, February.
  10. Zivanovic, S., Pavic, A. and Reynolds, P. (2005), "Vibration serviceability of footbridges under human-induced excitation: a literature review", J. Sound Vib., 279(1), 1-74. https://doi.org/10.1016/j.jsv.2004.01.019

Cited by

  1. Optimal wireless sensor network configuration for structural monitoring using automatic-learning firefly algorithm vol.22, pp.4, 2019, https://doi.org/10.1177/1369433218797074
  2. Testing Walking-Induced Vibration of Floors Using Smartphones Recordings vol.9, pp.2, 2017, https://doi.org/10.3390/robotics9020037