Threshold-based approach to detect near-miss falls of iron workers using inertial measurement units

K. Yang, H. Jebelli, C. R. Ahn, M. C. Vuran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

Falls are the single most dangerous safety accident within the construction industry, representing 33% of all fatalities in construction. Numerous unrecognized near-miss falls exist behind every major fall accident. The detection of near-miss fall occurrence therefore helps the identification of fall-prone workers/tasks and invisible jobsite hazards and thereby can prevent fall accidents. This paper presents and evaluates the feasibility of a threshold-based approach for detecting the near-miss falls of construction iron-worker. Kinematic data of subjects are collected through an IMU sensor attached to the subjects' sacrum; the subjects then perform walking on a steel beam structure. Fall-related features - sum vector magnitude (SVM), and normalized signal magnitude area (SMA) - are used to detect near-miss falls. Threshold values of these features are defined to achieve the best accuracy in near-miss fall detection based upon experiment data. According to selected threshold values, iron-workers' near-miss falls were detected. The result of this research demonstrate the opportunity of utilizing SVM and SMA in documenting workers' near-miss fall incidents in real-time.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2015 - Proceedings of the 2015 International Workshop on Computing in Civil Engineering
EditorsWilliam J. O'Brien, Simone Ponticelli
PublisherAmerican Society of Civil Engineers (ASCE)
Pages148-155
Number of pages8
EditionJanuary
ISBN (Electronic)9780784479247
DOIs
StatePublished - 2015
Event2015 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2015 - Austin, United States
Duration: Jun 21 2015Jun 23 2015

Publication series

NameCongress on Computing in Civil Engineering, Proceedings
NumberJanuary
Volume2015-January

Other

Other2015 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2015
CountryUnited States
CityAustin
Period6/21/156/23/15

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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    Yang, K., Jebelli, H., Ahn, C. R., & Vuran, M. C. (2015). Threshold-based approach to detect near-miss falls of iron workers using inertial measurement units. In W. J. O'Brien, & S. Ponticelli (Eds.), Computing in Civil Engineering 2015 - Proceedings of the 2015 International Workshop on Computing in Civil Engineering (January ed., pp. 148-155). (Congress on Computing in Civil Engineering, Proceedings; Vol. 2015-January, No. January). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784479247.019