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Published in:
2014 | OriginalPaper | Chapter
Gesture Recognition Based on Kinect
Authors : Chi-Hung Chuang, Ying-Nong Chen, Ming-Sang Deng, Kuo-Chin Fan
Published in: Advanced Technologies, Embedded and Multimedia for Human-centric Computing
Publisher: Springer Netherlands
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Abstract
In recent years, depth cameras have become a widely available sensor type that captures depth images at real-time frame rates. For example, Microsoft KINECT is a powerful but cheap device to get depth images. Even though recent approaches have shown that 3D pose estimation and recognition from monocular 2.5D depth images has become feasible, there are still some challenge problems like gesture detection and recognition. In this paper, we propose a gesture recognition method and use that to make a puzzle game with kinesthetic system. Gesture is very important for our system because instead of using some devices like keyboard or mouse, users will play the puzzle game by their own hand. We will focus on using ROI and some algorithms that we proposed to do gesture detection and recognition.