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

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

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