Gesture browsing method for geological data

DOI

10.2991/icmt-13.2013.64How to use a DOI?

Keywords

geological data; gesture recognition; Kinect; adaptive Kalman filter

Abstract

In big screen environment,careful observationof geological data is significant forgeological workers. However,traditional mouse is not suitable for free operation in big screen environment.Influenced by illumination, background and some other things, gesture recognition based on ordinary camera isneither real-timenor robust. Therefore, considering the geological workers’ common gestures in the actual manipulation for geological data, an adaptive Kalman filter methodbased on the Kinect is proposed, which can not only obtain real-time and continuous hand depth data, but also further identify thegeological data manipulation gestures. Finally we realize ageological data control browsing system with high robustness.The results show that adaptive Kalman filter method is conducive to manipulate for geological data.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chen Huang
AU  - Jianhua Li
AU  - Hanchao Yu
AU  - Junfa Hanchao
AU  - Jianghai Shen
PY  - 2013/11
DA  - 2013/11
TI  - Gesture browsing method for geological data
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 517
EP  - 524
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.64
DO  - 10.2991/icmt-13.2013.64
ID  - Huang2013/11
ER  -