Real-Time Posture Analysis of Construction Workers for Ergonomics Training

Work related fatigue and injuries are critical issues in the construction industry. Repetitive and physically demanding nature of the activities and awkward work postures are the primary reasons for work related fatigues and injuries. In view of this, worker training on ergonomics is necessary before the start of any construction activity. Traditional methods of worker monitoring are tedious and in efficient. Recent approaches to understand worker ergonomics use specialized devices to physically monitor the health of workers. In addition to this, attempts have been made to use computer vision techniques to understand workers ergonomics; however they mostly focus on estimating the posture of workers. In this research, we present a framework for integrating posture analysis of workers and a predefined set of rules to categorize work tasks as ergonomic or non-ergonomic.

[1]  Harald Wuest,et al.  Linear-projection-based classification of human postures in time-of-flight data , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[2]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[3]  Giovanni C. Migliaccio,et al.  Wearable physiological status monitors for measuring and evaluating workers physical strain: Prelim , 2011 .

[4]  Carlos H. Caldas,et al.  Framework for Real-Time Three-Dimensional Modeling of Infrastructure , 2005 .

[5]  Carlos H. Caldas,et al.  Real-Time Three-Dimensional Occupancy Grid Modeling for the Detection and Tracking of Construction Resources , 2007 .

[6]  Nooritawati Md. Tahir,et al.  Analysis of PCA based feature vectors for SVM posture classification , 2010, 2010 6th International Colloquium on Signal Processing & its Applications.

[7]  Jochen Teizer.  3D range imaging camera sensing for active safety in construction , 2008, J. Inf. Technol. Constr..

[8]  Wanqing Li,et al.  Kernel PCA of HOG features for posture detection , 2009, 2009 24th International Conference Image and Vision Computing New Zealand.

[9]  Jochen Teizer,et al.  Human Motion Analysis Using 3D Range Imaging Technology , 2009 .

[10]  Cheryl Fairfield Estill,et al.  Simple solutions; ergonomics for construction workers , 2007 .

[11]  Ahmed M. Elgammal,et al.  The Role of Manifold Learning in Human Motion Analysis , 2006, Human Motion.