A Depth-based Approach for 3D Dynamic Gesture Recognition

Hajar Hiyadi, Fakhreddine Ababsa, Christophe Montagne, El Houssine Bouyakhf, Fakhita Regragui

2015

Abstract

In this paper we propose a recognition technique of 3D dynamic gesture for human robot interaction (HRI) based on depth information provided by Kinect sensor. The body is tracked using the skeleton algorithm provided by the Kinect SDK. The main idea of this work is to compute the angles of the upper body joints which are active when executing gesture. The variation of these angles are used as inputs of Hidden Markov Models (HMM) in order to recognize the dynamic gestures. Results demonstrate the robustness of our method against environmental conditions such as illumination changes and scene complexity due to using depth information only.

Paper Citation

in Harvard Style

Hiyadi H., Ababsa F., Montagne C., Bouyakhf E. and Regragui F. (2015). A Depth-based Approach for 3D Dynamic Gesture Recognition . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-123-6, pages 103-110. DOI: 10.5220/0005545401030110

in Bibtex Style

@conference{icinco15,
author={Hajar Hiyadi and Fakhreddine Ababsa and Christophe Montagne and El Houssine Bouyakhf and Fakhita Regragui},
title={A Depth-based Approach for 3D Dynamic Gesture Recognition},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2015},
pages={103-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005545401030110},
isbn={978-989-758-123-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - A Depth-based Approach for 3D Dynamic Gesture Recognition
SN - 978-989-758-123-6
AU - Hiyadi H.
AU - Ababsa F.
AU - Montagne C.
AU - Bouyakhf E.
AU - Regragui F.
PY - 2015
SP - 103
EP - 110
DO - 10.5220/0005545401030110