Chapter
Jul 11, 2012

Automatic Identification of Unsafe Bending Behavior of Construction Workers Using Real-Time Location Sensing and Physiological Status Monitoring

Publication: Construction Research Congress 2012: Construction Challenges in a Flat World

Abstract

Nowadays, remote sensing technology allows for autonomous and remote data collection of construction resources. Data collected from various sources can be used to infer higher-level information about the entities being observed. This process, called data fusion, has been used in construction for tracking the location of material and equipment with a lack of studies on the use of data fusion for improving knowledge of workforce. This study explored the utilization of a data fusion approach for a continuous remote monitoring of construction workers' location and health. To this end, the authors deployed non-intrusive real-time worker location sensing (RTLS) and physiological status monitoring (PSM) technology, and later, used data fusion to analyze data from these devices.

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Go to Construction Research Congress 2012
Construction Research Congress 2012: Construction Challenges in a Flat World
Pages: 633 - 642

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Published online: Jul 11, 2012

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Giovanni C. Migliaccio, Ph.D. [email protected]
Assistant Professor, Department of Construction Management, University of Washington, Box 351610 Seattle, WA 98195-1610. E-mail: [email protected]
Jochen Teizer, Ph.D. [email protected]
Assistant Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. N.W., Atlanta, GA, 30332-0355. E-mail: [email protected]
Ph.D. Candidate, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. N.W., Atlanta, GA, 30332-0355. E-mail: [email protected]
Umberto C. Gatti [email protected]
Ph.D. Candidate, Department of Civil Engineering, University of New Mexico, 210 University Blvd NE, Albuquerque, NM, 87106. E-mail: [email protected]

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