Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review-Reference-Cited by-同舟云学术

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

Published:2020-06 Issue:6 Volume:146 Page:03120002
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Sherafat Behnam¹^ORCID,Ahn Changbum R.²,Akhavian Reza³,Behzadan Amir H.²,Golparvar-Fard Mani⁴,Kim Hyunsoo⁵,Lee Yong-Cheol⁶,Rashidi Abbas⁷,Azar Ehsan Rezazadeh⁸

Affiliation:

1. Ph.D. Student of Construction Engineering, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112 (corresponding author). ORCID: .

2. Associate Professor, Dept. of Construction Science, Texas A&M Univ., College Station, TX 77843.

3. Assistant Professor, Dept. of Civil, Construction, and Environmental Engineering, San Diego State Univ., San Diego, CA 92182.

4. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Champaign, IL 61801.

5. Assistant Professor, Dept. of Architectural Engineering, Dankook Univ., Yongin, Gyeonggi-do 16890, Republic of Korea.

6. Assistant Professor, Dept. of Construction Management, Louisiana State Univ., Baton Rouge, LA 70803.

7. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112.

8. Associate Professor, Dept. of Civil Engineering, Lakehead Univ., Thunder Bay, ON, Canada P7B 5E1.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001843

Reference131 articles.

1. Instance-based learning algorithms

2. Ahn C. R. S. Lee and F. Peña-Mora. 2012. “Monitoring system for operational efficiency and environmental performance of construction operations using vibration signal analysis.” In Proc. Construction Research Congress 2012: Construction Challenges in a Flat World 1879–1888. Reston VA: ASCE. https://doi.org/10.1061/9780784412329.189.

3. Application of Low-Cost Accelerometers for Measuring the Operational Efficiency of a Construction Equipment Fleet

4. Akhavian R. and A. H. Behzadan. 2012. “Remote monitoring of dynamic construction processes using automated equipment tracking.” In Proc. Construction Research Congress 2012: Construction Challenges in a Flat World 1360–1369. Reston VA: ASCE. https://doi.org/10.1061/9780784412329.137.

5. Akhavian R. and A. H. Behzadan. 2013a. “Automated knowledge discovery and data-driven simulation model generation of construction operations.” In Proc. 2013 Winter Simulations Conf. 3030–3041. New York: IEEE. https://doi.org/10.1109/WSC.2013.6721670.

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