25 February 2008 Intelligent noncontact surgeon-computer interface using hand gesture recognition
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Zhao, Michael Zhao, Andreas G. Nowatzyk, Andreas G. Nowatzyk, Thomas Lu, Thomas Lu, Daniel L. Farkas, 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); doi: 10.1117/12.766870; https://doi.org/10.1117/12.766870


New development of the image matching algorithm
Proceedings of SPIE (April 09 2018)
ROSE: the road simulation environment
Proceedings of SPIE (May 14 1997)
Tracking a rigid object in 3D from a single camera
Proceedings of SPIE (August 17 1997)
Machine vision techniques for rose grading
Proceedings of SPIE (November 28 1993)
Neural network predicts carrot volume with only three images
Proceedings of SPIE (September 24 1998)

Back to Top