This work concerns the development of a virtual training application in the medical field; it is based on augmented reality and image analysis techniques. Specifically, we tackled the problem of instructing the surgery staff to follow correctly the hand washing procedure necessary before accessing the operating theater, and of monitoring the correctness of the procedure performed by the physicians. This procedure is recommended by the World Health Organization (WHO) and is adopted by all health institutions of civilized countries. Lack of strict fulfillment of this recommendation is one of the major causes of infection risk in the operating rooms. By segmenting the scene captured by a webcam and by using image analysis tools, we detect the position of the forearms of the surgeon with respect to the basin and the water flow, and identify the beginning and the end of each phase of the hand washing procedure performed by the surgeon. The correct execution of the various phases, performed by a puppet in 3D, is projected so as to overlap the real scene captured by the webcam, while the correct procedure is also displayed as text. The application is developed under the supervision of the Risk-Management Department of the European Institute of Oncology (IEO) in Milan, Italy, and is designed to be used within the Surgical Care Area, directly in the washing area.

Virtual training of surgery staff for hand washing procedure

Frucci M;Sanniti di Baja G
2012

Abstract

This work concerns the development of a virtual training application in the medical field; it is based on augmented reality and image analysis techniques. Specifically, we tackled the problem of instructing the surgery staff to follow correctly the hand washing procedure necessary before accessing the operating theater, and of monitoring the correctness of the procedure performed by the physicians. This procedure is recommended by the World Health Organization (WHO) and is adopted by all health institutions of civilized countries. Lack of strict fulfillment of this recommendation is one of the major causes of infection risk in the operating rooms. By segmenting the scene captured by a webcam and by using image analysis tools, we detect the position of the forearms of the surgeon with respect to the basin and the water flow, and identify the beginning and the end of each phase of the hand washing procedure performed by the surgeon. The correct execution of the various phases, performed by a puppet in 3D, is projected so as to overlap the real scene captured by the webcam, while the correct procedure is also displayed as text. The application is developed under the supervision of the Risk-Management Department of the European Institute of Oncology (IEO) in Milan, Italy, and is designed to be used within the Surgical Care Area, directly in the washing area.
2012
Istituto di Scienze Applicate e Sistemi Intelligenti "Eduardo Caianiello" - ISASI
Inglese
Genny Tortora, Stefano Levialdi, Maurizio Tucci
Proceedings of the Working Conference on Advanced Visual Interfaces AVI 2012
International Working Conference on Advanced Visual Interfaces - AVI'12
274
277
4
978-1-4503-1287-5
http://dl.acm.org/citation.cfm?id=2254608
ACM, Association for computing machinery
New York
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
May 21-25, 2012
Capri
Image Analysis
Virtual Training
Augmented Reality
2
none
Corato F; Frucci M; Sanniti di Baja G
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/233749
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