Skip to Main content Skip to Navigation
New interface
Journal articles

Validation of an ergonomic assessment method using Kinect data in real workplace conditions

Abstract : Evaluating potential musculoskeletal disorders risks in real workstations is challenging as the environment is cluttered, which makes it difficult to accurately assess workers' postures. Being marker-free and calibration-free, Microsoft Kinect is a promising device although it may be sensitive to occlusions. We propose and evaluate a RULA ergonomic assessment in real work conditions using recently published occlusion-resistant Kinect skeleton data correction. First, we compared postures estimated with this method to ground-truth data, in standardized laboratory conditions. Second, we compared RULA scores to those provided by two professional experts, in a non-laboratory cluttered workplace condition. The results show that the corrected Kinect data can provide more accurate RULA grand scores, even under sub-optimal conditions induced by the workplace environment. This study opens new perspectives in musculoskeletal risk assessment as it provides the ergonomists with 30 Hz continuous information that could be analyzed offline and in a real-time framework.
Document type :
Journal articles
Complete list of metadata

Cited literature [40 references]  Display  Hide  Download
Contributor : Franck Multon Connect in order to contact the contributor
Submitted on : Sunday, November 6, 2016 - 9:03:09 AM
Last modification on : Thursday, September 1, 2022 - 11:10:04 AM


Files produced by the author(s)



Pierre Plantard, Hubert P H Shum, Anne-Sophie Le Pierres, Franck Multon. Validation of an ergonomic assessment method using Kinect data in real workplace conditions. Applied Ergonomics, 2017, 65, pp.562-569. ⟨10.1016/j.apergo.2016.10.015⟩. ⟨hal-01393066⟩



Record views


Files downloads