Comparative Study of Motion Features for Similarity-Based Modeling and Classification of Unsafe Actions in Construction

AbstractRapid development of motion sensors and video processing has triggered growing attention to action recognition for safety and health analysis, as well as operation analysis, in construction. Specifically for occupational safety and health, worker behavior monitoring allows for the automatic detection of workers’ unsafe actions and for feedback on their behavior, both of which enable the proactive prevention of an accident by reducing the number of unsafe actions that occur. Previous studies provide insight into tracking human movements and recognizing actions, but further research efforts are needed to understand the following characteristics of motion data, which can significantly affect classification performances: (1) various motion data types extracted from motion capture data, (2) variations of postures and actions, and (3) temporal and sequential relations of motion data. This paper thus presents a modeling and classification methodology for the recognition of unsafe actions, particularly fo...

[1]  SangUk Han,et al.  A vision-based motion capture and recognition framework for behavior-based safety management , 2013 .

[2]  Jessie Godbey,et al.  The Effects of Behavior-based Safety Techniques on Behavior Variation, Targeted and Non-Targeted Safe Behaviors, and Productivity and Quality in Manufacturing Facilities , 2006 .

[3]  Abhinav Peddi.  Development of human pose analyzing algorithms for the determination of construction productivity in real-time , 2009 .

[4]  Jun Nakanishi,et al.  Movement imitation with nonlinear dynamical systems in humanoid robots , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[5]  Xiaohui Liu,et al.  Multi-agent activity recognition using observation decomposedhidden Markov models , 2006, Image Vis. Comput..

[6]  K. J. Seymour,et al.  Long-term evaluation of a behavior-based method for improving safety performance : a meta-analysis of 73 interrupted time-series replications , 1999 .

[7]  Yang Wang,et al.  Unsupervised Discovery of Action Classes , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[8]  Jochen Teizer,et al.  Real-time construction worker posture analysis for ergonomics training , 2012, Adv. Eng. Informatics.

[9]  Jitendra Malik,et al.  Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[10]  Stephanie R. Taylor,et al.  Analysis and recognition of walking movements , 2002, Object recognition supported by user interaction for service robots.

[11]  David J. Fleet,et al.  This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Gaussian Process Dynamical Model , 2007 .

[12]  Tao Cheng,et al.  Automated task-level activity analysis through fusion of real time location sensors and worker's tho , 2013 .

[13]  Kanad K. Biswas,et al.  Gesture recognition using Microsoft Kinect® , 2011, The 5th International Conference on Automation, Robotics and Applications.

[14]  Jie Gong,et al.  Applying Fuzzy Logic for Optimal Placement of XBOX Kinect Sensors for Industrial Applications , 2012 .

[15]  Rama Chellappa,et al.  Activity recognition using the dynamics of the configuration of interacting objects , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[16]  Jie Gong,et al.  Learning and Classifying Motions of Construction Workers and Equipment Using Bag of Video Feature Words and Bayesian Learning Methods , 2011 .

[17]  Ivan T. Robertson,et al.  Improving safety by the modification of behaviour , 1994 .

[18]  Mani Golparvar-Fard,et al.  Automated Vision-based Recognition of Construction Worker Actions for Building Interior Construction , 2012 .

[19]  Feniosky Peña-Mora,et al.  Vision-Based Detection of Unsafe Actions of a Construction Worker: Case Study of Ladder Climbing , 2013, J. Comput. Civ. Eng..

[20]  H Laitinen,et al.  The validity of the TR safety observation method on building construction. , 1999, Accident; analysis and prevention.

[21]  Koshy Varghese,et al.  Accelerometer-Based Activity Recognition in Construction , 2011, J. Comput. Civ. Eng..

[22]  Tao Cheng,et al.  Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers , 2013, J. Comput. Civ. Eng..

[23]  J. Komaki,et al.  A behavioral approach to occupational safety: pinpointing and reinforcing safe performance in a food manufacturing plant. , 1978, The Journal of applied psychology.