An On-body Sensor-based Visual Management Tool for Work Task Progress Monitoring

This study proposes a visual management tool to communicate progress of construction projects. The method utilizes state-of-the-art kinematic classification algorithms to infer the type of work from on-body inertial measurement units. The work type is combined with location data collected through a local positioning system and is imported to a shared environment in which the 3D model is used as the basis for conveying the information. The tool constructs spatial artifacts representing workspaces to append information to the relevant 3D objects. The spatial artifacts are created through the intersection of wall buffering and a Dirichlet tessellation created from the line segments representing the walls of the 3D model. The proposed framework enables a more simplistic and transparent understanding of the current state. This research further contributes by defining a spatial artifacts workspace which is used to ensure points are appended correctly.