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A Computer Vision Based Tracking Framework for Medical Training

Authors:
Bo Sun
Lucas Grebe

Keywords: medical simulation; computer vision; human computer interaction framework

Abstract:
Medical simulation often utilizes standardized patients or mannequins to train and assess medical students. We present a computer vision-based framework where we can accurately augment virtual pathology to a standardized patient/mannequin. The framework offers a unique markerbased tracking approach using the computer vision method, which delivers a fast and precise augmentation for a simulated cranial (head) ultrasound prototype. The technique is very efficient and cost-effective compared with other tracking approaches.

Pages: 7 to 11

Copyright: Copyright (c) IARIA, 2024

Publication date: September 29, 2024

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-68558-197-8

Location: Venice, Italy

Dates: from September 29, 2024 to October 3, 2024