PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Part Task Approach to Haptic Knee Arthroscopy Training
Louise Moody, John Arthur, Alex Zivanovic and Alan Waterworth
Studies in Health Technology and Informatics (Medicine Meets Virtual Reality 11) Volume Vol 94, pp. 216-218, 2003. ISSN 0926-9630


Abstract: This paper describes the research behind a part-task approach to both the development of, and the training offered, by a virtual reality simulator for knee arthroscopy. An ethnographic approach has been taken to examine the nature of task performance and the current training of the arthroscopic diagnosis of the knee. This Human Factors research is used to support the development of WISHKATS. The design addresses the challenge of technically producing haptic feedback for a knee surgery simulator whilst offering sufficient fidelity to train the necessary skills and conform to traditional surgical training.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:881
Deposited By:Brian Davies
Deposited On:03 January 2005