NDLI: Static Human Gesture grading based on Kinect

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Table of contents

2011 4th International Congress on Image and Signal Processing

2010 3rd International Congress on Image and Signal Processing

2009 2nd International Congress on Image and Signal Processing

2008 Congress on Image and Signal Processing

Static Human Gesture grading based on Kinect

Content Provider	IEEE Xplore Digital Library
Author	Linwan Liu Xiaoyu Wu Linglin Wu Tianchu Guo
Copyright Year	2012
Description	Author affiliation: Department of Digital Media Technology, Communication University of China, Beijing, China (Linwan Liu; Xiaoyu Wu; Linglin Wu; Tianchu Guo)
Abstract	We presented a static human gesture grading system based on the skeletal tracking module of Kinect sensor. We captured the 2-D skeleton wireframe of a poser's body and represented the data as limb vectors. The distance metric is defined as the included angle array computed between the real-time and the standard gesture. We proposed a grading formula to simulate the gesture judging scenario, of which the parameters can be adaptively computed or manually set. The system worked efficiently under the low computational complexity and was robust to input noise.
Starting Page	1390
Ending Page	1393
File Size	346587
Page Count	4
File Format	PDF
ISBN	9781467309653
e-ISBN	9781467309646
DOI	10.1109/CISP.2012.6469917
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Kinect Humans skeleton data Vectors Real-time systems Skeleton Arrays limb vectors Standards gesture grading
Content Type	Text
Resource Type	Article

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