Chapter
Nov 9, 2020
Construction Research Congress 2020

Wearable Tactile System for Improved Hazard Perception in Construction Sites

Publication: Construction Research Congress 2020: Safety, Workforce, and Education

ABSTRACT

As far as construction safety is concerned, the identification and rapid communication of potential hazards before they lead to an accident are crucial. Well-informed workers can promptly take preventive actions and ensure their own safety. Hence, researchers have developed various approaches to detect potential onsite hazards. However, relatively insufficient attention has been given to communicating the detected hazards to workers at risk. Therefore, this research aims to establish a tactile-based communication protocol, which can be used in noisy environments in order to overcome the present difficulty of workers in perceiving hazards. To do this, the study uses a wearable, tactile-sensing system as a means of communication. The developed wearable system is composed of vibration motors, which are wirelessly controlled using Wi-Fi enabled Arduino boards. In this experimental study, the system was tested to determine its reliability in communicating information related to potential collision accidents on construction sites, to enable quick reactions from workers. The field experiment tested various tactile signals containing information about the relative location of the approaching vehicle, type of vehicle, and intensity of hazard. The test results show that the system is reliable in communicating hazard information to workers and allowing hazard perception to be robust, without being limited by adverse construction environments (i.e., limited hearing and vision). The implementation of such a hazard communication system, together with a hazard detection system, would significantly reduce the number of fatalities and injuries related to collisions on construction sites, and thus, ensure safer work zones for workers.

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ACKNOWLEDGMENT

This publication was supported by the Center for Construction Research and Training (CPWR) through the National Institute for Occupational Safety and Health (NIOSH) cooperative agreement OH009762. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of CPWR or NIOSH.

REFERENCES

Carbonari, A., Giretti, A., and Naticchia, B. (2011). “A proactive system for real-time safety management in construction sites.” Automation in Construction, Elsevier B.V., 20, 686–698.
Carter, G., and Smith, S. D. (2006). “Safety Hazard Identification on Construction Projects.” Journal of Construction Engineering and Management, 132(2), 197–205.
Cho, C., and Park, J. (2018). “An Embedded Sensory System for Worker Safety: Prototype Development and Evaluation.” Sensors, 18.
Durá-Gil, J. V., Bazuelo-Ruiz, B., Moro-Pérez, D., and Mollà-Domenech, F. (2017). “Analysis of different vibration patterns to guide blind people.” PeerJ, 5, e3082.
Faugloire, E., and Lejeune, L. (2014). “Evaluation of Heading Performance With Vibrotactile Guidance : The Benefits of Information – Movement Coupling Compared With Spatial Language.” Journal of Experimental Psychology: Applied, 20(4), 397–410.
Fosbroke, D. E. (2011). “Construction Equipment Visibility.” https://blogs.cdc.gov/niosh-science-blog/2011/04/04/visibility/> (Jul. 13, 2019).
Fyhrie, P. B. (2016). “Work Zone Intrusion Alarms for Highway Workers.” Caltrans Division of Research, Innovation and System Information, <http://www.dot.ca.gov/newtech/researchreports/preliminary_investigations/docs/work_zone_warning_preliminary_investigation.pdf> (Oct. 20, 2018).
Jebelli, H., Ahn, C. R., and Stentz, T. L. (2016). “Comprehensive Fall-Risk Assessment of Construction Workers Using Inertial Measurement Units: Validation of the Gait-Stability Metric to Assess the Fall Risk of Iron Workers.” Journal of Computing in Civil Engineering, 30(3), 04015034.
Jo, B.-W., Lee, Y.-S., Khan, R. M. A., Kim, J.-H., and Kim, D.-K. (2019). “Robust Construction Safety System (RCSS) for Collision Accidents Prevention on Construction Sites.” Sensors, 19.
Kim, H., Ahn, C. R., and Yang, K. (2016). “Identifying Safety Hazards Using Collective Bodily Responses of Workers.” Journal of Construction Engineering and Management, 143(2).
Kim, K., Kim, H., and Kim, H. (2017). “Image-based construction hazard avoidance system using augmented reality in wearable device.” Automation in Construction, Elsevier, 83, 390–403.
Marks, E., and Teizer, J. (2012). “Proximity Sensing and Warning Technology for Heavy Construction Equipment Operation.” Construction Research Congress 2012, ASCE, West Lafayette, Indiana, United States, 981–990.
OSHA. (2007). “Top Four Construction Hazards.” https://www.osha.gov/Publications/3216-6N-06-english-06-27-2007.html> (Jul. 12, 2019).
OSHA. (2018). “Commonly Used Statistics.” <https://www.osha.gov/oshstats/commonstats.html> (Apr. 8, 2019).
Park, J., Marks, E., Cho, Y. K., and Suryanto, W. (2016). “Performance Test of Wireless Technologies for Personnel and Equipment Proximity Sensing in Work Zones.” Journal of Construction Engineering and Management, 142(1), 04015049.
Park, J., Yang, X., Cho, Y. K., and Seo, J. (2017). “Improving dynamic proximity sensing and processing for smart work-zone safety.” Automation in Construction, Elsevier, 84, 111–120.
Perlman, A., Sacks, R., and Barak, R. (2014). “Hazard recognition and risk perception in construction.” Safety Science, Elsevier Ltd, 64, 22–31.
Sacks, R., Rozenfeld, O., and Rosenfeld, Y. (2009). “Spatial and Temporal Exposure to Safety Hazards in Construction.” Journal of Construction Engineering and Management, 135(8), 726–736.
Sakhakarmi, S., and Park, J. (2019). “Investigation of Tactile Sensory System Configuration for Construction Hazard Perception.” Sensors, 19, 2527.
Son, H., Seong, H., Choi, H., and Kim, C. (2019). “Real-Time Vision-Based Warning System for Prevention of Collisions between Workers and Heavy Equipment.” Journal of Computing in Civil Engineering, 33(5), 04019029.
Teizer, J., Lao, D., and Sofer, M. (2007). “Rapid Automated Monitoring of Construction Site Activities Using Ultra-Wideband.” 24th International Symposium on Automation and Robotics in Construction (ISARC), I.I.T. Madras, 23–28.
Wang, J., and Razavi, S. N. (2015). “Low False Alarm Rate Model for Unsafe-Proximity Detection in Construction.” Journal of Computing in Civil Engineering, 30(2), 04015005.
Wang, M.-H., Schrock, S. D., Bai, Y., and Rescot, R. A. (2011). Evaluation of Innovative Traffic Safety Devices at Short-Term Work Zones. Kansas Department of Transportation.
Yan, X., Li, H., Li, A. R., and Zhang, H. (2017). “Wearable IMU-based real-time motion warning system for construction workers’ musculoskeletal disorders prevention.” Automation in Construction, Elsevier B.V., 74, 2–11.
Yang, K., Aria, S., Ahn, C., and Stentz, T. (2014). “Automated Detection of Near-miss Fall Incidents in Iron Workers Using Inertial Measurement Units.” Construction Research Congress 2014, Atlanta, GA, USA, 935–944.

Information & Authors

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Published In

Go to Construction Research Congress 2020
Construction Research Congress 2020: Safety, Workforce, and Education
Pages: 120 - 128
Editors: Mounir El Asmar, Ph.D., Arizona State University, David Grau, Ph.D., Arizona State University, and Pingbo Tang, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8287-2

History

Published online: Nov 9, 2020
Published in print: Nov 9, 2020

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Authors

Affiliations

Sayan Sakhakarmi [email protected]
Dept. of Civil and Environmental Engineering and Construction, Univ. of Nevada, Las Vegas, Las Vegas, NV. E-mail: [email protected]
JeeWoong Park [email protected]
Dept. of Civil and Environmental Engineering and Construction, Univ. of Nevada, Las Vegas, Las Vegas, NV. E-mail: [email protected]

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