Studies of AR Drone on Gesture Control

DOI

10.2991/icmemtc-16.2016.350How to use a DOI?

Keywords

gesture control; Kinect; AR Drone; quaternion; human-computer interaction; machine vision

Abstract

This paper focuses on the recent drone and gesture recognition technology, and we try to apply the gesture recognition technology to a drone platform. Thus, a drone system capable of gesture-controlled navigation is implemented. The major components comprising the system are Parrot AR. Drone [1], Kinect [2] and PC, while LabVIEW [3, 4] is chosen as the programming language and Kinect is utilized as the gesture recognition device. Besides, specific methods are discussed about how to properly design gestures easy for manipulating the AR. Drone, and how to generate the control signals from these gestures. As a result, the response of gesture-based flight control system is accurate and prompt, according to its decent performance in the video [5].

Copyright

© 2016, 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  - Lu Ma
AU  - Lee Lung Cheng
PY  - 2016/04
DA  - 2016/04
TI  - Studies of AR Drone on Gesture Control
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1864
EP  - 1868
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.350
DO  - 10.2991/icmemtc-16.2016.350
ID  - Ma2016/04
ER  -