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Fuzzy visual detection for human-robot interaction

Ming-Yuan Shieh (Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan)
Chung-Yu Hsieh (Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan)
Tsung-Min Hsieh (Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan)

Engineering Computations

ISSN: 0264-4401

Article publication date: 28 October 2014

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Abstract

Purpose

The purpose of this paper is to propose a fast object detection algorithm based on structural light analysis, which aims to detect and recognize human gesture and pose and then to conclude the respective commands for human-robot interaction control.

Design/methodology/approach

In this paper, the human poses are estimated and analyzed by the proposed scheme, and then the resultant data concluded by the fuzzy decision-making system are used to launch respective robotic motions. The RGB camera and the infrared light module aim to do distance estimation of a body or several bodies.

Findings

The modules not only provide image perception but also objective skeleton detection. In which, a laser source in the infrared light module emits invisible infrared light which passes through a filter and is scattered into a semi-random but constant pattern of small dots which is projected onto the environment in front of the sensor. The reflected pattern is then detected by an infrared camera and analyzed for depth estimation. Since the depth of object is a key parameter for pose recognition, one can estimate the distance to each dot and then get depth information by calculation of distance between emitter and receiver.

Research limitations/implications

Future work will consider to reduce the computation time for objective estimation and to tune parameters adaptively.

Practical implications

The experimental results demonstrate the feasibility of the proposed system.

Originality/value

This paper achieves real-time human-robot interaction by visual detection based on structural light analysis.

Keywords

Acknowledgements

This work is supported by the National Science Council, Taiwan, Republic of China, under Grant Number NSC100-2221-E-218-006 and NSC100-2632-E-218-001-MY3.

Citation

Shieh, M.-Y., Hsieh, C.-Y. and Hsieh, T.-M. (2014), "Fuzzy visual detection for human-robot interaction", Engineering Computations, Vol. 31 No. 8, pp. 1709-1719. https://doi.org/10.1108/EC-11-2012-0292

Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited