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CONTROL OF A DRONE WITH BODY GESTURES

Published online by Cambridge University Press:  27 July 2021

Nicolas Gio ,
Ross Brisco  and
Tijana Vuletic
Nicolas Gio*
Affiliation:
DMEM, University of Strathclyde Arts et Métiers ParisTech
Ross Brisco
Affiliation:
DMEM, University of Strathclyde
Tijana Vuletic
Affiliation:
DMEM, University of Strathclyde
*
Gio, Nicolas Clément, University of Strathclyde, DMEM, France, nicolas.gio@gadz.org

Abstract

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Drones are becoming more popular within military applications and civil aviation by hobbyists and business. Achieving a natural Human-Drone Interaction (HDI) would enable unskilled drone pilots to take part in the flying of these devices and more generally easy the use of drones. The research within this paper focuses on the design and development of a Natural User Interface (NUI) allowing a user to pilot a drone with body gestures. A Microsoft Kinect was used to capture the user’s body information which was processed by a motion recognition algorithm and converted into commands for the drone. The implementation of a Graphical User Interface (GUI) gives feedback to the user. Visual feedback from the drone’s onboard camera is provided on a screen and an interactive menu controlled by body gestures and allowing the choice of functionalities such as photo and video capture or take-off and landing has been implemented. This research resulted in an efficient and functional system, more instinctive, natural, immersive and fun than piloting using a physical controller, including innovative aspects such as the implementation of additional functionalities to the drone's piloting and control of the flight speed.

Keywords

Human-Drone InteractionNatural User InterfaceDesign engineeringDesign for interfacesUser centred design
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 761 - 770
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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