@inproceedings{4eff34931b4e460ca052e1abfc4ffd91,
title = "Studies of AR Drone on Gesture Control",
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].",
keywords = "gesture control, Kinect, AR Drone, quaternion, human-computer interaction, machine vision",
author = "Lu MA and CHENG, \{Lee Lung\}",
year = "2016",
language = "English",
series = "AER-Advances in Engineering Research",
publisher = "Atlantis Press",
pages = "1869--1873",
editor = "B Ma and D Zhou",
booktitle = "PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL",
note = "3rd International Conference on Materials Engineering, Manufacturing Technology and Control (ICMEMTC) ; Conference date: 27-02-2016 Through 28-02-2016",
}