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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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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