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The previous studies provide valuable insight into the analysis of human postures and actions, but further research is still needed for the capture of an articulated motion and the modeling of its kinematics. For efficient field data acquisition, research efforts have thus been made to investigate and propose available sensing devices-such as cameras, laser scanners, and the combination of sensors (e.g., ultra wideband and physiological status monitoring devices)-for the tracking of human movements and the analysis of construction activities (Cheng et al. Particularly, the time-consuming tasks required for worker monitoring can give rise to the issue of implementing field observation in a daily management practice (Johnson and Sackett 1998). The complexity of construction environments and the dynamics of moving equipment and human resources, however, often pose a challenge in undertaking such tasks on a jobsite. This paper thus provides insight into the accuracy of an RGB-D sensor on motion capture in various measures and directions of further research for the improvement of accuracy.ĭuring a construction project, data collection is critical to the evaluation and control of ongoing project performances. However, motion detection results show that the inaccuracy of an RGB-D sensor does not have a considerable effect on action recognition in the experiment. Through the comparative assessment, we found a discrepancy of 10.7 cm in the tracked locations of body parts, and a difference of 16.2 degrees in rotation angles. As a test case, 25 trials of ascending and descending during ladder climbing were recorded simultaneously with both systems, and the resulting motion capture datasets (i.e., 3D skeleton models) were temporally and spatially synchronized for their comparison. For the assessment, experimental studies were undertaken to collect motion capture datasets using an RGB-D sensor and a marker-based motion capture system, VICON, and to analyze errors as compared with the VICON used as the ground truth. The performance of an RGB-D sensor is evaluated in terms of (1) the 3D positions of the body parts tracked by the sensor, (2) the 3D rotation angles at joints, and (3) the impact of the RGB-D sensor’s accuracy on motion analysis.
#Ipi mocap studio rbg portable
In an effort to address the issue, this paper investigates the performances of a cost-effective and portable RGB-D sensor, based on recent research efforts extended from our previous study. However, time-consuming tasks involved in field observation have brought up the issue of implementing worker observation in daily management practice.
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#Ipi mocap studio rbg manual
Taking into account that construction involves a significant amount of manual work, worker monitoring can play a key role in analyzing operations and improving productivity and safety. For construction management, data collection is a critical process for gathering and measuring information for the evaluation and control of ongoing project performances.