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Vision Based Hand Gesture Recognition for Mobile Devices: A Review

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Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) (HIS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 552))

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Abstract

The desire to interact with a mobile device in an intuitive and natural way is growing. In fact, research in this field aims to develop systems able to model, analyze and recognize user’s hand gestures to control mobiles without having the need to touch the screen. We give in this paper an overview of current research works and an analysis of comparative studies in this field. This paper focuses on the main steps of hand gesture recognition for mobile devices like detection, tracking and recognition. This work also gives an analysis of the existing literature on gesture recognition systems for human-computer interaction by classifying them under various key parameters. At the end we conclude with some reflections on future works.

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Author information

Authors and Affiliations

  1. National School of Electronics and Telecommunications, University of Sfax, Sfax, Tunisia

    Houssem Lahiani

  2. Faculty of Sciences, University of Sfax, Sfax, Tunisia

    Monji Kherallah

  3. Faculty of Economics and Management, University of Sfax, Sfax, Tunisia

    Houssem Lahiani & Mahmoud Neji

  4. Multimedia Information Systems and Advanced Computing Laboratory, Sfax, Tunisia

    Houssem Lahiani & Mahmoud Neji

Authors
  1. Houssem Lahiani
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  2. Monji Kherallah
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  3. Mahmoud Neji
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Corresponding author

Correspondence to Houssem Lahiani .

Editor information

Editors and Affiliations

  1. (MIR Labs), Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

  4. Technopolis Rabat-Shore Rocade, International University of Rabat, Sala el Jadida, Morocco

    Ghita Mezzour

  5. Inst Applied Dept of Electronics, Taffala, University of Sousse, Sousse, Tunisia

    Nizar Rokbani

  6. Fakulti Teknologi Maklumat dan Komunikas, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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Lahiani, H., Kherallah, M., Neji, M. (2017). Vision Based Hand Gesture Recognition for Mobile Devices: A Review. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_31

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  • DOI: https://doi.org/10.1007/978-3-319-52941-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52940-0

  • Online ISBN: 978-3-319-52941-7

  • eBook Packages: EngineeringEngineering (R0)

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