Automatic Identification of Unsafe Bending Behavior of Construction Workers Using Real-Time Location

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.