Postural Assessment in Dentistry Based on Multiple Markers Tracking

Marco Marcon, Alberto Pispero, Nicola Pignatelli, Giovanni Lodi, Stefano Tubaro; Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017, pp. 1408-1415

Abstract

Postural assessment is a fundamental aspect to prevent long-term Musculoskeletal disorders (MSDs) due to fatiguing jobs. Operative dentistry also belongs to this category and we developed a Computer Vision approach to automatically analyze the dentist posture during operations obtaining an evaluation of MSD risk according to some well-established criteria like RULA and NERPA. In particular we analyze three different set-ups where the dentist operates with naked eyes, medical loupes or using a surgical microscope and we compared the postural effects of these three different configurations. The results present a significant improvement in posture using the microscope and validated our approach as a feasible and effective method to assess posture in fatiguing jobs. The proposed approach allows a continuous monitoring of job activity evaluating accurately posture criticalities. Furthermore the risk of MSD based on international criteria is evaluated in an objective and accurate way.

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[bibtex]
@InProceedings{Marcon_2017_ICCV,
author = {Marcon, Marco and Pispero, Alberto and Pignatelli, Nicola and Lodi, Giovanni and Tubaro, Stefano},
title = {Postural Assessment in Dentistry Based on Multiple Markers Tracking},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2017}
}