Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review

Behnam Sherafat, Changbum R. Ahn, Reza Akhavian, Amir H. Behzadan, Mani Golparvar-Fard, Hyunsoo Kim, Yong Cheol Lee, Abbas Rashidi, Ehsan Rezazadeh Azar

Research output: Contribution to journalReview articlepeer-review

Abstract

Equipment and workers are two important resources in the construction industry. Performance monitoring of these resources would help project managers improve the productivity rates of construction jobsites and discover potential performance issues. A typical construction workface monitoring system consists of four major levels: location tracking, activity recognition, activity tracking, and performance monitoring. These levels are employed to evaluate work sequences over time and also assess the workers' and equipment's well-being and abnormal edge cases. Results of an automated performance monitoring system could be used to employ preventive measures to minimize operating/repair costs and downtimes. The authors of this paper have studied the feasibility of implementing a wide range of technologies and computational techniques for automated activity recognition and tracking of construction equipment and workers. This paper provides a comprehensive review of these methods and techniques as well as describes their advantages, practical value, and limitations. Additionally, a multifaceted comparison between these methods is presented, and potential knowledge gaps and future research directions are discussed.

Original languageEnglish (US)
Article number0001843
JournalJournal of Construction Engineering and Management
Volume146
Issue number6
DOIs
StatePublished - Jun 1 2020

Keywords

  • Activity recognition
  • Activity tracking
  • Audio-based method
  • Construction equipment
  • Convolutional neural network
  • Kinematic-based method
  • Location tracking
  • Machine learning
  • Performance monitoring
  • Vision-based method
  • Worker

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Industrial relations
  • Strategy and Management

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