Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

A Simple Manner of Dynamic Gesture Recognition Based on Kinect

Authors
Fenggang Li, Xiangfei Jiang, Xiaobo Xia
Corresponding Author
Fenggang Li
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.3How to use a DOI?
Keywords
Kinect; Somatosensory interaction; depth information; gesture recognition
Abstract
The paper develops a simple method of dynamic gesture recognition based on the Kinect which is a new sensor from Microsoft in the environment of VS2010 combining Kinect for Windows SDK v1.8. Kinect sensors can track human bodies within their effective scope in real-time and obtain the depth of the corresponding information and bones at the same time. Firstly, we separated each dynamic hand gesture to be a combination of several micro-gestures which were from predefined eight micro-gestures with eight different directions. Then Dynamic Time Warping algorithm was adopted to find the most similar template gesture, then the system realized corresponding control instruction of the matched template gesture, and consequently, we can achieve somatosensory interaction by recognizing dynamic hand gestures, and the total recognition rate isn’t less than 90%.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Fenggang Li
AU  - Xiangfei Jiang
AU  - Xiaobo Xia
PY  - 2016/01
DA  - 2016/01
TI  - A Simple Manner of Dynamic Gesture Recognition Based on Kinect
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 9
EP  - 13
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.3
DO  - https://doi.org/10.2991/icaita-16.2016.3
ID  - Li2016/01
ER  -