Control of a drone with body gestures
Gio, Nicolas and Brisco, Ross and Vuletic, Tijana (2021) Control of a drone with body gestures. Proceedings of the Design Society: International Conference on Engineering Design, 1. pp. 761-770. ISSN 2220-4342 (https://doi.org/10.1017/pds.2021.76)
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Abstract
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.
ORCID iDs
Gio, Nicolas, Brisco, Ross ORCID: https://orcid.org/0000-0002-8216-9218 and Vuletic, Tijana ORCID: https://orcid.org/0000-0002-9808-9087;-
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Item type: Article ID code: 78162 Dates: DateEvent31 August 2021Published27 July 2021Published Online1 March 2021AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) > Engineering design Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 14 Oct 2021 12:05 Last modified: 11 Nov 2024 13:16 URI: https://strathprints.strath.ac.uk/id/eprint/78162