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Obstacle Avoidance through Gesture Recognition: Business Advancement Potential in Robot Navigation Socio-Technology

Published online by Cambridge University Press:  20 March 2019

Xuan Liu,
Kashif Nazar Khan,
Qamar Farooq,
Yunhong Hao and
Muhammad Shoaib Arshad
Xuan Liu
Affiliation:
Zhejiang Gongshang University, SBA, Hangzhou, Zhejiang, P. R. China
Kashif Nazar Khan
Affiliation:
COMSATS Institute of Information Technology, Islamabad, Pakistan
Qamar Farooq*
Affiliation:
Zhejiang Gongshang University, SBA, Hangzhou, Zhejiang, P. R. ChinaAir University, Multan Campus, Multan, Pakistan
Yunhong Hao
Affiliation:
Zhejiang Gongshang University, SBA, Hangzhou, Zhejiang, P. R. China
Muhammad Shoaib Arshad
Affiliation:
COMSATS Institute of Information Technology, Islamabad, Pakistan
*
*Corresponding author. E-mail: f4farooq@outlook.com
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In the present modern age, a robot works like human and is controlled in such a manner that its movements should not create hindrance in human activities. This characteristic involves gesture feat and gesture recognition. This article is aimed to describe the developments in algorithms devised for obstacle avoidance in robot navigation which can open a new horizon for advancement in businesses. For this purpose, our study is focused on gesture recognition to mean socio-technological implication. Literature review on this issue reveals that movement of robots can be made efficient by introducing gesture-based collision avoidance techniques. Experimental results illustrated a high level of robustness and usability of the Gesture recognition (GR) system. The overall error rate is almost 10%. In our subjective judgment, we assume that GR system is very well-suited to instruct a mobile service robot to change its path on the instruction of human.

Keywords

Control mechanismBody trackingDynamic time wrappingHuman–computer interaction

Information

Type
Articles
Information
Robotica , Volume 37 , Issue 10 , October 2019, pp. 1663 - 1676
Copyright
© Cambridge University Press 2019 

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