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Towards a Cloud Robotics Platform for Distributed Visual SLAM Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Body Emotion-Based Human-Robot Interaction

Authors : Tehao Zhu, Qunfei Zhao, Jing Xiong

Published in: Computer Vision Systems

Publisher: Springer International Publishing

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Abstract

In order to achieve reasonable and natural interaction when facing vague human actions, a body emotion-based human-robot interaction (BEHRI) algorithm was developed in this paper. Laban movement analysis and fuzzy logic inference was used to extract the movement emotion and torso pose emotion. A finite state machine model was constructed to describe the paradigm of the robot emotion, and then the interactive strategy was designed to generate suitable interactive behaviors. The algorithm was evaluated on UTD-MHAD, and the overall system was tested via questionnaire. The experimental results indicated that the proposed BEHRI algorithm was able to analyze the body emotion precisely, and the interactive behaviors were accessible and satisfying. BEHRI was shown to have good application potentials.

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previous chapter A Gesture Recognition Method Based on Binocular Vision System
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Metadata
Title
A Body Emotion-Based Human-Robot Interaction
Authors
Tehao Zhu
Qunfei Zhao
Jing Xiong
Copyright Year
2017
Book
Computer Vision Systems

Print ISBN: 978-3-319-68344-7

Electronic ISBN: 978-3-319-68345-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-68345-4_24

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