Data di Pubblicazione:
2018
Citazione:
Postural Assessment in Dentistry Based on Multiple Markers Tracking / M. Marcon, A. Pispero, N. Pignatelli, G. Lodi, S. Tubaro - In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)[s.l] : IEEE, 2018. - ISBN 9781538610343. - pp. 1408-1415 (( Intervento presentato al 16. convegno ICCVW tenutosi a Venezia nel 2017 [10.1109/ICCVW.2017.167].
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. The whole proposed system follows a non-invasive approach based on Augmented Reality markers tracked from a distant camera and can be applied to effective monitoring different working activities providing an accurate and objective estimation of MSD according to modern posture assessment criteria.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Computer Science Applications1707 Computer Vision and Pattern Recognition; 1707
Elenco autori:
M. Marcon, A. Pispero, N. Pignatelli, G. Lodi, S. Tubaro
Link alla scheda completa:
Titolo del libro:
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)