An embedded system-based hand-gesture recognition for human-drone interaction
by Khadidja Belattar; Abdelhak Mehadjbia; Abdelkarim Bala; Ahmed Kechida
International Journal of Embedded Systems (IJES), Vol. 15, No. 4, 2022

Abstract: Using hand gestures is a natural mode of communication in human-robot interaction. This article presents an embedded command system for human-drone interaction. The main significance of the system is the improvement of human-drone interaction. Three contributions are proposed. The first one is the construction of a static hand-gesture dataset of three basic classes namely: 'start recording', 'take a photo' and 'stop recording'. The second contribution consists of the investigation of different transfer learning-based deep object detectors in both laptop and embedded computer platforms. The third contribution is an embedded hand-gesture recognition system, which allows users interaction, in real-time, with the quad-rotor drone using hand-gestures. The experimental results demonstrate the superiority of the YOLOv5-small model in the embedded recognition system. It yielded 98.32% mean average precision, 93.91% recall, 0.0025 loss and 0.92 recognition speed. Overall, the obtained results are promising and could be exploited in real-time object tracking applications.

Online publication date: Fri, 09-Sep-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Embedded Systems (IJES):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com