Intelligent noncontact surgeon-computer interface using hand gesture recognition

Michael Zhao; Andreas G. Nowatzyk; Thomas Lu; Daniel L. Farkas

doi:10.1117/12.766870

25 February 2008 Intelligent noncontact surgeon-computer interface using hand gesture recognition

Michael Zhao, Andreas G. Nowatzyk, Thomas Lu, Daniel L. Farkas

Author Affiliations +

Proceedings Volume 6805, Three-Dimensional Image Capture and Applications 2008; 68050U (2008) https://doi.org/10.1117/12.766870
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Michael Zhao, Andreas G. Nowatzyk, Thomas Lu, and Daniel L. Farkas "Intelligent noncontact surgeon-computer interface using hand gesture recognition", Proc. SPIE 6805, Three-Dimensional Image Capture and Applications 2008, 68050U (25 February 2008); https://doi.org/10.1117/12.766870

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE