Automated detection of near-miss fall incidents in iron workers using inertial measurement units

Kanghyeok Yang, Sepi Aria, Changbum R. Ahn, Terry L. Stentz

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

24 Citations (Scopus)

Abstract

Accidental falls (slips, trips, and falls from height) are the leading cause of death and injury on a construction site. Assessing the risk of such falls, therefore, becomes a fundamental step toward reducing these accidents. However, the quantitative assessment of a fall risk for construction workers is still very challenging because of sparse data related to fall accidents. Recently, there has been a growing interest in the identification of near-miss fall accidents to utilize them as supplementary data for fall-risk assessments. Current documentation for near-miss fall accidents is based on workers' self-reporting, a fact that adds variability to the data. In response, this research introduces a method that can detect near-miss fall incidents based on inertial measurement units (IMUs). A preliminary laboratory experiment collects data on ironworkers' typical movements, postures, and near-miss fall accidents. Workers' postures and movements are recognized through supervised classification algorithms; near-miss fall incidents during the classified posture/movement are quantifiably detected based on the time-series anomaly detection approach. Such research helps to identify the possibility of fall accidents more precisely according to worker's activity data. Additionally, documenting near-miss fall data provides quantitative data for ironworkers' fall-risk assessment, a significant step forward in the field.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2014
Subtitle of host publicationConstruction in a Global Network - Proceedings of the 2014 Construction Research Congress
PublisherAmerican Society of Civil Engineers (ASCE)
Pages935-944
Number of pages10
ISBN (Print)9780784413517
DOIs
StatePublished - Jan 1 2014
Event2014 Construction Research Congress: Construction in a Global Network, CRC 2014 - Atlanta, GA, United States
Duration: May 19 2014May 21 2014

Publication series

NameConstruction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress

Conference

Conference2014 Construction Research Congress: Construction in a Global Network, CRC 2014
CountryUnited States
CityAtlanta, GA
Period5/19/145/21/14

Fingerprint

Units of measurement
Accidents
Iron
Risk assessment
Time series
Experiments

Keywords

  • Construction Safety
  • Fall Accidents
  • Inertial Measurement Unit
  • Wearable Wireless Sensor Network

ASJC Scopus subject areas

  • Building and Construction

Cite this

Yang, K., Aria, S., Ahn, C. R., & Stentz, T. L. (2014). Automated detection of near-miss fall incidents in iron workers using inertial measurement units. In Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress (pp. 935-944). (Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784413517.0096

Automated detection of near-miss fall incidents in iron workers using inertial measurement units. / Yang, Kanghyeok; Aria, Sepi; Ahn, Changbum R.; Stentz, Terry L.

Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress. American Society of Civil Engineers (ASCE), 2014. p. 935-944 (Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress).

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

Yang, K, Aria, S, Ahn, CR & Stentz, TL 2014, Automated detection of near-miss fall incidents in iron workers using inertial measurement units. in Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress. Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress, American Society of Civil Engineers (ASCE), pp. 935-944, 2014 Construction Research Congress: Construction in a Global Network, CRC 2014, Atlanta, GA, United States, 5/19/14. https://doi.org/10.1061/9780784413517.0096
Yang K, Aria S, Ahn CR, Stentz TL. Automated detection of near-miss fall incidents in iron workers using inertial measurement units. In Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress. American Society of Civil Engineers (ASCE). 2014. p. 935-944. (Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress). https://doi.org/10.1061/9780784413517.0096
Yang, Kanghyeok ; Aria, Sepi ; Ahn, Changbum R. ; Stentz, Terry L. / Automated detection of near-miss fall incidents in iron workers using inertial measurement units. Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress. American Society of Civil Engineers (ASCE), 2014. pp. 935-944 (Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress).
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