The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers
Abstract
Previous research and applications in construction resource optimization have focused on tracking the location of material and equipment. There is a lack of studies on remote monitoring for improving safety and health of the construction workforce. This paper presents a new approach for monitoring ergonomically safe and unsafe behavior of construction workers. The study relies on a methodology that utilizes fusion of data from continuous remote monitoring of construction workers’ location and physiological status. To monitor construction workers activities, the authors deployed nonintrusive real-time worker location sensing (RTLS) and physiological status monitoring (PSM) technology. This paper presents the background and need for a data fusion approach, the framework, the test bed environment, and results to some case studies that were used to automatically identify unhealthy work behavior. Results of this study suggest a new approach for automating remote monitoring of construction workers safety performance by fusing data on their location and physical strain.
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Cites
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
An introduction to multisensor data fusion
Hall, D. L., & Llinas, J. (1997) · Proceedings of the IEEE · doi:10.1109/5.554205 · Cited by 2,629
Garet, M., Boudet, G., Montaurier, C., Vermorel, M., Coudert, J., & Chamoux, A. (2005) · European Journal of Applied Physiology · doi:10.1007/s00421-004-1228-9 · Cited by 67
Cited by
Monitoring fatigue in construction workers using physiological measurements
Aryal, A., Ghahramani, A., & Becerik-Gerber, B. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.03.003 · Cited by 401
Golparvar-Fard, M., Heydarian, A., & Niebles, J. C. (2013) · Advanced Engineering Informatics · doi:10.1016/j.aei.2013.09.001 · Cited by 286
Teizer, J., Cheng, T., & Fang, Y. (2013) · Automation in Construction · doi:10.1016/j.autcon.2013.03.004 · Cited by 276
Self-citationXing, X., Zhong, B., Luo, H., Rose, T., Li, J., & Antwi-Afari, M. F. (2020) · Automation in Construction · doi:10.1016/j.autcon.2020.103381 · Cited by 164
Mettler, T., & Wulf, J. (2019) · Information Systems Journal · doi:10.1111/isj.12205 · Cited by 155
Metadata
- Authors
- Cheng, T., Migliaccio, G. C., Teizer, J., & Gatti, U. C.
- Venue
- Journal of Computing in Civil Engineering
- Published
- 2013-05
- Volume
- 27
- Issue
- 3
- Pages
- 320-335
- ISSN
- 0887-3801 (ISSN-L)
- 1943-5487
- OpenAlex
- W1986949002
- Cited by
- 189
- References
- 3
- FWCI
- 22.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers. https://app.cochat.ai/papers/10.1061/(asce)cp.1943-5487.0000222
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- Cheng, T., Migliaccio, G. C., Teizer, J., & Gatti, U. C. (2013). Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers. Journal of Computing in Civil Engineering. https://doi.org/10.1061/(asce)cp.1943-5487.0000222
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