Intelligent non-contact surgeon-computer interface using hand gesture recognition

被引：3
|
作者：
Zhao, Michael [1 ]
Nowatzyk, Andreas G. [2 ]
Lu, Thomas [1 ]
Farkas, Daniel L. [2 ]
机构：
[1] Etonnet Inc, 112 Mitchell Blvd,Suite A, San Rafael, CA 94903 USA
[2] Cedars Sinai Med Ctr, Minimally Invas Surg Technol Inst, Los Angeles, CA 90048 USA
来源：
THREE-DIMENSIONAL IMAGE CAPTURE AND APPLICATIONS 2008 | 2008年 / 6805卷
关键词：
hand gesture recognition; surgeon computer interface; neural network identification; 3D imaging; operating room of the future;
D O I：
10.1117/12.766870
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
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页数：8
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