Vision-based Hand Gesture Recognition for Mobile Service Robot Control

DOI

10.2991/icmse-18.2018.11How to use a DOI?

Keywords

image pre-processing, segmentation, feature extraction, cross-correlation, gesture recognition.

Abstract

The vision-based hand gesture is an important problem in the field of human-computer interaction since hand motion and gesture could potentially interact with computers in more natural ways. This paper is focused on control of mobile service robot based on vision-based hand gesture recognition. The database of five hand gesture commands is created and the cross-correlation find the similarity between the captured hand image. This approach contains image pre-processing, segmentation of the region, feature extraction, classification using cross-correlation and gesture recognition. In this method, the user can control the robot by using the gesture of the hand, thereby interacting with the robot system. The commands are generated according to the hand gesture for controlling the robot direction. Experimental results show that this method can get a high recognition rate of hand gesture.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haile Gemgea Tamiru
AU  - Shuyan Ren
AU  - Hailong Duan
PY  - 2018/05
DA  - 2018/05
TI  - Vision-based Hand Gesture Recognition for Mobile Service Robot Control
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 48
EP  - 55
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.11
DO  - 10.2991/icmse-18.2018.11
ID  - Tamiru2018/05
ER  -