3D Hand Pose Detection
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Authors
El-Sayed, Ahmed
Wu, Zhengping
Mahmood, Ausif
Issue Date
2012
Type
Presentation
Language
Keywords
Faculty research day
Alternative Title
Abstract
Description
Hand pose detection is one of the new important research fields, especially because of its applications in the field of human machine interaction. It benefits deaf and mute people, who cannot use voice recognition systems. The main target of this paper is to design an intelligent, autonomous system that can be used for hand pose detection. The input to the system is from Microsoft Kinect's sensor for depth and color images, and the output is the hand pose that optimally matches the hand in the input image.
Citation
Poster 55