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

Volumn , Issue , 2014, Pages 935-944

  Yang, Kanghyeok ^a   Aria, Sepi ^a   Ahn, Changbum R ^a   Stentz, Terry L ^a,b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b Department of Environmental   (United States)

Author keywords

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

Indexed keywords

ACCIDENTS; RESEARCH; RISK ASSESSMENT; UNITS OF MEASUREMENT; WIRELESS SENSOR NETWORKS;

AUTOMATED DETECTION; CONSTRUCTION SAFETY; CONSTRUCTION WORKERS; FALL ACCIDENTS; INERTIAL MEASUREMENT UNIT; LABORATORY EXPERIMENTS; QUANTITATIVE ASSESSMENTS; SUPERVISED CLASSIFICATION;

OCCUPATIONAL RISKS;

EID: 84904632942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/9780784413517.0096     Document Type: Conference Paper

References (19)

1. Beetsma, R., and Giuliodori, M. (2011). The Effects of Government Purchases Shocks: Review and Estimates for the EU. The Economic Journal, 121(550), F4-F32.
2. Bird, F. E., and Germain, G. L. (1966). Damage Control. New York: American Management Assoc.
3. Cambraia, F. B., Saurin, T. A., and Formoso, C. T. (2010). Identification, analysis and dissemination of information on near misses: A case study in the construction industry. Safety Science, 48(1), 91-99.
4. Cheng, T., Migliaccio, G., Teizer, J., and Gatti, U. (2013). Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers. Journal of Computing in Civil Engineering, 27(3), 320-335.
5. Chi, S., and Caldas, C. H. (2011). Automated Object Identification Using Optical Video Cameras on Construction Sites. Computer-Aided Civil and Infrastructure Engineering, 26(5), 368-380.
6. CPWR. (2008). The Construction Chart Book. The Center for Construction Research and Training.
7. Han, S., and Lee, S. (2013). A vision-based motion capture and recognition framework for behavior-based safety management. Automation in Construction, 35, 131-141.
8. Joshua, L., and Varghese, K. (2011). Accelerometer-Based Activity Recognition in Construction. Journal of Computing in Civil Engineering, 25(5), 370-379.
9. Lee, G., and Scott, C. (2010). Nested Support Vector Machines. IEEE Transactions on Signal Processing, 58(3), 1648-1660.
10. Mitropoulos, P., Abdelhamid, T., and Howell, G. (2005). Systems Model of Construction Accident Causation. Journal of Construction Engineering and Management, 131(7), 816-825. (Pubitemid 41068303)
11. NSC. (2013). Injury Facts. National Safety Council.
12. Phimister, J. R., Oktem, U., Kleindorfer, P. R., and Kunreuther, H. (2003). Near-Miss Incident Management in the Chemical Process Industry. Risk Analysis, 23(3), 445-459. (Pubitemid 36693478)
13. Van der Schaaf, T., and Kanse, L. (2004). Biases in incident reporting databases: an empirical study in the chemical process industry. Safety Science, 42(1), 57-67. (Pubitemid 37272229)
14. Taneja, S., Akcamete, A., Akinci, B., Garrett, J. H., East, E. W., and Soibelman, L. (2010). Analysis of three indoor localization technologies to support facility management field activities. In Proceedings of the International Conference on Computing in Civil and Building Engineering, Nottingham, UK.
15. Teizer, J., Cheng, T., and Fang, Y. (2013). Location tracking and data visualization technology to advance construction ironworkers' education and training in safety and productivity. Automation in Construction.
16. Teizer, J., and Vela, P. A. (2009). Personnel tracking on construction sites using video cameras. Advanced Engineering Informatics, 23(4), 452-462.
17. Weerasinghe, I., Ruwanpura, J., Boyd, J., and Habib, A. (2013). Application of Microsoft Kinect Sensor for Tracking Construction Workers. Construction Research Congress 2012, American Society of Civil Engineers, 858-867.
18. Wu, W., Yang, H., Chew, D. A. S., Yang, S., Gibb, A. G. F., and Li, Q. (2010). Towards an autonomous real-time tracking system of near-miss accidents on construction sites. Automation in Construction, 19(2), 134-141.
19. Yang, J., Arif, O., Vela, P. A., Teizer, J., and Shi, Z. (2010). Tracking multiple workers on construction sites using video cameras. Advanced Engineering Informatics, 24(4), 428-434.