Article: Usability of corrected Kinect measurement for ergonomic evaluation in constrained environment Journal: International Journal of Human Factors Modelling and Simulation (IJHFMS) 2017 Vol.5 No.4 pp.338 - 353 Abstract: Evaluation of potential risks of musculoskeletal disorders in real workstations is challenging as the environment is cluttered, which makes it difficult to correctly assess the pose of a worker. Being marker-free and calibration-free, Microsoft Kinect is a promising device to assess these poses, but it can deliver unreliable poses especially when occlusions occur. To overcome this problem, we propose to detect and correct badly recognised body parts thanks to a database of example poses. We applied the proposed method to compute rapid upper limb assessment (RULA) score in a realistic environment that involved sub-optimal Kinect placement and several types of occlusions. Results showed that when occlusions occur, the inaccurate raw Kinect data could be significantly improved using our correction method, leading to acceptable joint angles and RULA scores. Our method opens new perspectives to define new fatigue or solicitation indexes based on continuous measurement contrary to classical static images used in ergonomics. Inderscience Publishers - linking academia, business and industry through research

Title: Usability of corrected Kinect measurement for ergonomic evaluation in constrained environment

Authors: Pierre Plantard; Hubert P.H. Shum; Franck Multon

Addresses: M2S Laboratory, University Rennes 2, INRIA Rennes Rennes, France ' Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, UK ' M2S Laboratory, University Rennes 2, INRIA Rennes, Rennes, France

Abstract: Evaluation of potential risks of musculoskeletal disorders in real workstations is challenging as the environment is cluttered, which makes it difficult to correctly assess the pose of a worker. Being marker-free and calibration-free, Microsoft Kinect is a promising device to assess these poses, but it can deliver unreliable poses especially when occlusions occur. To overcome this problem, we propose to detect and correct badly recognised body parts thanks to a database of example poses. We applied the proposed method to compute rapid upper limb assessment (RULA) score in a realistic environment that involved sub-optimal Kinect placement and several types of occlusions. Results showed that when occlusions occur, the inaccurate raw Kinect data could be significantly improved using our correction method, leading to acceptable joint angles and RULA scores. Our method opens new perspectives to define new fatigue or solicitation indexes based on continuous measurement contrary to classical static images used in ergonomics.

Keywords: Kinect; pose correction; occlusions; ergonomics assessment; RULA score; joint angles.

DOI: 10.1504/IJHFMS.2017.087018

International Journal of Human Factors Modelling and Simulation, 2017 Vol.5 No.4, pp.338 - 353

Received: 12 Dec 2016
Accepted: 24 Jul 2017
Published online: 04 Oct 2017 *

Title: Usability of corrected Kinect measurement for ergonomic evaluation in constrained environment

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