Structural Engineering and Mechanics

  • 제63권6호
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  • Pages.771-777
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  • 2017
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
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)
  • 투고 : 2016.10.29
  • 심사 : 2017.06.02
  • 발행 : 2017.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

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.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation

참고문헌

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피인용 문헌

  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