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Authors: Xianxin Ke ; Yujiao Zhu ; Yang Yang ; Jizhong Xin and Zhitong Luo

Affiliation: Shanghai University, China

Keyword(s): Facial Expression Robot, Visual System, Human-robot Interaction.

Related Ontology Subjects/Areas/Topics: Human-Robots Interfaces ; Informatics in Control, Automation and Robotics ; Robotics and Automation

Abstract: The improvement of human-robot interaction is an inevitable trend for the development of robots. Vision is an important way for a robot to get the information from outside. Binocular vision model is set up on the facial expression robot SHFR- III, this paper develops a visual system for human-robot interaction, including face detection, face location, gender recognition, facial expression recognition and reproduction. The experimental results show that the vision system can conduct accurate and stable interaction, and the robot can carry out human-robot interaction.

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Paper citation in several formats:
Ke, X.; Zhu, Y.; Yang, Y.; Xin, J. and Luo, Z. (2016). Vision System of Facial Robot SHFR- III for Human-robot Interaction. In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-198-4; ISSN 2184-2809, SciTePress, pages 472-478. DOI: 10.5220/0005994804720478

@conference{icinco16,
author={Xianxin Ke. and Yujiao Zhu. and Yang Yang. and Jizhong Xin. and Zhitong Luo.},
title={Vision System of Facial Robot SHFR- III for Human-robot Interaction},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2016},
pages={472-478},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005994804720478},
isbn={978-989-758-198-4},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Vision System of Facial Robot SHFR- III for Human-robot Interaction
SN - 978-989-758-198-4
IS - 2184-2809
AU - Ke, X.
AU - Zhu, Y.
AU - Yang, Y.
AU - Xin, J.
AU - Luo, Z.
PY - 2016
SP - 472
EP - 478
DO - 10.5220/0005994804720478
PB - SciTePress

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