help button home button JAMIA Hate scrolling?
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

First published February 28, 2008 as JAMIA PrePrint; doi:10.1197/jamia.M2410
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M2410v1
15/3/321    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Wachs, J. P.
Right arrow Articles by Smith, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Wachs, J. P.
Right arrow Articles by Smith, M.
J Am Med Inform Assoc. 2008;15:321-323. DOI 10.1197/jamia.M2410.
© 2008 American Medical Informatics Association


Technical Brief

A Gesture-based Tool for Sterile Browsing of Radiology Images

Juan P. Wachs, PhDa,*, Helman I. Stern, PhDa, Yael Edan, PhDa, Michael Gillam, MDb, Jon Handler, MDb, Craig Feied, MD, PhDb and Mark Smith, MDb

a Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er-Sheva, Israel
b Institute for Medical Informatics, Washington Hospital Center, Washington, DC.

* Correspondence: Juan P. Wachs, Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er-Sheva, Israel, 84105 (Email: juan{at}bgu.ac.il).

Received for publication: 02/07/07; accepted for publication: 01/22/08.

The use of doctor-computer interaction devices in the operation room (OR) requires new modalities that support medical imaging manipulation while allowing doctors' hands to remain sterile, supporting their focus of attention, and providing fast response times. This paper presents "Gestix," a vision-based hand gesture capture and recognition system that interprets in real-time the user's gestures for navigation and manipulation of images in an electronic medical record (EMR) database. Navigation and other gestures are translated to commands based on their temporal trajectories, through video capture. "Gestix" was tested during a brain biopsy procedure. In the in vivo experiment, this interface prevented the surgeon's focus shift and change of location while achieving a rapid intuitive reaction and easy interaction. Data from two usability tests provide insights and implications regarding human-computer interaction based on nonverbal conversational modalities.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2008 by the American Medical Informatics Association.