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Proceedings Paper

Intelligent noncontact surgeon-computer interface using hand gesture recognition
Author(s): Michael Zhao; Andreas G. Nowatzyk; Thomas Lu; Daniel L. Farkas
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Paper Abstract

We present the development of advanced neural network and 3D image processing algorithms to identify hand gestures for a novel Surgeon-Computer-Interface (SCI) in the operating room. Feature extraction methods have been identified to reliably extract unique attributes and recognize dynamic hand gestures such as "Point and Click" and "Hand Waiving" features. We show an experimental demonstration of a non-linear neural network classifier that is capable of reliably recognizing 8 complex hand gesture patterns.

Paper Details

Date Published: 25 February 2008
PDF: 8 pages
Proc. SPIE 6805, Three-Dimensional Image Capture and Applications 2008, 68050U (25 February 2008);
Show Author Affiliations
Michael Zhao, Etonnet, Inc. (United States)
Andreas G. Nowatzyk, Cedars-Sinai Medical Ctr. (United States)
Thomas Lu, Etonnet, Inc. (United States)
Daniel L. Farkas, Cedars-Sinai Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 6805:
Three-Dimensional Image Capture and Applications 2008
Brian D. Corner; Masaaki Mochimaru; Robert Sitnik, Editor(s)

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