References
- Gibb A, Lingard H, Behm M, et al. Construction accident causality: learning from different countries and differing consequences. Constr Manag Econ [Internet]. 2014 May 4;32(5):446–459. [cited 2017 Nov 28]. Available from: http://www.tandfonline.com/doi/abs/https://doi.org/10.1080/01446193.2014.907498
- Chi CF, Chang TC, Ting HI. Accident patterns and prevention measures for fatal occupational falls in the construction industry. Appl Ergon. 2005;36:391–400. doi: https://doi.org/10.1016/j.apergo.2004.09.011
- Dong XS, Largay JA, Choi SD, et al. Fatal falls and PFAS use in the construction industry: findings from the NIOSH FACE reports. Accid Anal Prev. 2017;102:136–143. doi: https://doi.org/10.1016/j.aap.2017.02.028
- Zhang M, Fang D. A cognitive analysis of why Chinese scaffolders do not use safety harnesses in construction. Constr Manag Econ. 2013;31(3):207–222. doi: https://doi.org/10.1080/01446193.2013.764000
- Nadhim EA, Hon C, Xia B, et al. Falls from height in the construction industry: a critical review of the scientific literature. Int J Environ Res Public Health. 2016;13(7):638. doi: https://doi.org/10.3390/ijerph13070638
- Dong S, Li H, Yin Q. Building information modeling in combination with real time location systems and sensors for safety performance enhancement. Saf Sci. 2018;102:226–237. doi: https://doi.org/10.1016/j.ssci.2017.10.011
- Demirkesen S, Arditi D. Construction safety personnel’s perceptions of safety training practices. Int J Proj Manag. 2015;33(5):1160–1169. doi: https://doi.org/10.1016/j.ijproman.2015.01.007
- Loosemore M. Improving construction productivity: a subcontractor’s perspective. Eng Constr Archit Manag. 2014;21(3):245–260. doi: https://doi.org/10.1108/ECAM-05-2013-0043
- Choi B, Hwang S, Lee S. What drives construction workers’ acceptance of wearable technologies in the workplace? Indoor localization and wearable health devices for occupational safety and health. Autom Constr. 2017;84:31–41. doi: https://doi.org/10.1016/j.autcon.2017.08.005
- Kelm A, Laußat L, Meins-Becker A, et al. Mobile passive radio frequency identification (RFID) portal for automated and rapid control of personal protective equipment (PPE) on construction sites. Autom Constr [Internet]. 2013 Dec 1;36:38–52. [cited 2017 Nov 28]. Available from: http://www.sciencedirect.com/science/article/pii/S0926580513001234 doi: https://doi.org/10.1016/j.autcon.2013.08.009
- Teizer J, Lao D, Sofer M. Rapid automated monitoring of construction site activities using ultra-wideband. In: Proceedings of the 24th International Symposium on Automation and Robotics in Construction; Kochi; 2007. p. 19–21.
- D’Arco M, Renga A, Ceccarelli A, et al. Enhancing workers safety in worksites through augmented GNSS sensors. Measurement [Internet]. 2018;117:144–152. Available from: http://www.sciencedirect.com/science/article/pii/S0263224117307765 doi: https://doi.org/10.1016/j.measurement.2017.12.005
- Gómez-de-Gabriel JM, Fernández-Madrigal JA, López-Arquillos A, et al. Monitoring harness use in construction with BLE beacons. Measurement. 2019;131:329–340. doi: https://doi.org/10.1016/j.measurement.2018.07.093
- Guo H, Yu Y, Skitmore M. Visualization technology-based construction safety management: a review. Autom Constr. 2017;73:135–144. doi: https://doi.org/10.1016/j.autcon.2016.10.004
- Awolusi I, Marks E, Hallowell M. Wearable technology for personalized construction safety monitoring and trending: review of applicable devices. Autom Constr. 2018;85:96–106. doi: https://doi.org/10.1016/j.autcon.2017.10.010
- Martinez-Aires MD, Lopez-Alonso M, Martinez-Rojas M. Building information modeling and safety management: a systematic review. Saf Sci. 2018;101:11–18. doi: https://doi.org/10.1016/j.ssci.2017.08.015
- Valero E, Adán A. Integration of RFID with other technologies in construction. Measurement [Internet]. 2016;94:614–620 . [cited 2017 Nov 27]. Available from: https://www.sciencedirect.com/science/article/pii/S0263224116304997.
- Institute Scientific Information. Web of Science [v.5.21] [Internet]. 2020 [cited 2020 Jul 12]. Available from: https://apps.webofknowledge.com/summary.do?product=UA&parentProduct=UA&search_mode=GeneralSearch&parentQid=&qid=1&SID=4FYft1beXBRtwzqsehq&&update_back2search_link_param=yes&page=9.
- Zhang S, Sulankivi K, Kiviniemi M, et al. BIM-based fall hazard identification and prevention in construction safety planning. Saf Sci. 2015;72:31–45. doi: https://doi.org/10.1016/j.ssci.2014.08.001
- Kim K, Teizer J. Automatic design and planning of scaffolding systems using building information modeling. Adv Eng Informatics. 2014;28(1):66–80. doi: https://doi.org/10.1016/j.aei.2013.12.002
- Kiviniemi M, Sulankivi K, Kähkönen K, et al. BIM-based safety management and communication for building construction. VTT Res Notes. 2011:2597.
- Du S, Shehata M, Badawy W. Hard hat detection in video sequences based on face features, motion and color information. In: Computer Research and Development (ICCRD), 2011 3rd International Conference on; 2011. p. 25–29.
- Chi S, Caldas CH, Kim DY. A methodology for object identification and tracking in construction based on spatial modeling and image matching techniques. Comput Civ Infrastruct Eng. 2009;24(3):199–211. doi: https://doi.org/10.1111/j.1467-8667.2008.00580.x
- Han S, Lee S, Peña-Mora F. Vision-based detection of unsafe actions of a construction worker: case study of ladder climbing. J Comput Civ Eng. 2013;27(6):635–644. doi: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000279
- Fang W, Ding L, Luo H, et al. Falls from heights: a computer vision-based approach for safety harness detection. Autom Constr. 2018;91:53–61. doi: https://doi.org/10.1016/j.autcon.2018.02.018
- Zito D, Pepe D, Neri B, et al. Feasibility study and design of a wearable system-on-a-chip pulse radar for contactless cardiopulmonary monitoring. Int J Telemed Appl. 2008;2008(6):328597.
- Patel S, Park H, Bonato P, et al. A review of wearable sensors and systems with application in rehabilitation. J Neuroeng Rehabil. 2012;9(1):21. doi: https://doi.org/10.1186/1743-0003-9-21
- Vaillancourt V, Nélisse H, Laroche C, et al. Comparison of sound propagation and perception of three types of backup alarms with regards to worker safety. Noise Heal. 2013;15(67):420. doi: https://doi.org/10.4103/1463-1741.121249
- Sammarco J, Gallagher S, Mayton A, et al. A visual warning system to reduce struck-by or pinning accidents involving mobile mining equipment. Appl Ergon. 2012;43(6):1058–1065. doi: https://doi.org/10.1016/j.apergo.2012.03.006
- European Global Navigation Satellite Systems Agency. What is GNSS? [Internet]; [cited 2020 Jul 12]. Available from: https://www.gsa.europa.eu/egnos/what-egnos
- Park JW, Yang X, Cho YK, et al. Improving dynamic proximity sensing and processing for smart work-zone safety. Autom Constr. 2017;84:111–120. doi: https://doi.org/10.1016/j.autcon.2017.08.025
- Pradhananga N, Teizer J. Automatic spatio-temporal analysis of construction site equipment operations using GPS data. Autom Constr. 2013;29:107–122. doi: https://doi.org/10.1016/j.autcon.2012.09.004
- Bailey T, Durrant-Whyte H. Simultaneous localization and mapping (SLAM): part II. IEEE Robot Autom Mag. 2006;13(3):108–117. doi: https://doi.org/10.1109/MRA.2006.1678144
- Blanco JL, Fernandez-Madrigal JA, Gonzalez JJ. Efficient probabilistic range-only SLAM. IEEE/RSJ 2008 Int Conf Intell Robot Syst. 2008;1017–1022. doi: https://doi.org/10.1109/IROS.2008.4650650
- Saidi KS, Teizer J, Franaszek M, et al. Static and dynamic performance evaluation of a commercially-available ultra wideband tracking system. Autom Constr. 2011;20(5):519–530. doi: https://doi.org/10.1016/j.autcon.2010.11.018
- Dźwiarek M, Łempiński T, Światowski M. Effectiveness investigation of the correlation algorithms applied in a Smart ID card system to monitor the use of PPE. In: Safety and reliability – safe societies in a changing world. CRC; 2018. p. 1965–1969.
- Dźwiarek M. Real time location systems for monitoring safety of the machine operators. In: Proceedings of the conf Safety of Industrial Automated Systems 2015. Berlin: Deutsche Gesetzliche Unfallversicherung; 2015. p. 153–155.