Title: A survey on hand gesture recognition for mobile devices

Authors: Houssem Lahiani; Mahmoud Neji

Addresses: National School of Electronics and Telecommunications, University of Sfax, Tunisia; Tunisia Multimedia Information Systems and Advanced Computing Laboratory, Faculty of Economics and Management, University of Sfax, Sfax, Tunisia ' Tunisia Multimedia Information Systems and Advanced Computing Laboratory, Faculty of Economics and Management, University of Sfax, Sfax, Tunisia

Abstract: As smartphones and mobile devices become ubiquitous in the daily life of human beings, facilitating interaction with them will have a positive impact on their use. This paper presents an emerging and important area for research on human-machine interaction, involving interaction with mobile devices. Hand gesture recognition is already a quite mature field and its integration on advanced technologies like smartphones makes a survey an interesting and needed contribution. The design of interactive mobile applications should differ from traditional desktop applications. For this purpose, the paper discusses some concepts that help to understand new challenges and introduces techniques that may be useful to properly exploit these devices. This paper gives also an overview of recent works done on vision-based and contact-based hand gesture recognition systems for mobile devices. Used techniques and approaches are also discussed. At the end, we conclude with some reflections.

Keywords: mobile computing; android; gesture recognition; human-machine interaction.

DOI: 10.1504/IJISTA.2020.111065

International Journal of Intelligent Systems Technologies and Applications, 2020 Vol.19 No.5, pp.458 - 485

Received: 17 Apr 2019
Accepted: 07 Nov 2019
Published online: 09 Nov 2020 *

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