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    Motion sensor driven gesture recognition for future internet application development

    Stravoskoufos, K. and Sotiriadis, Stelios and Preventis, A. and Petrakis, E.G.M. (2014) Motion sensor driven gesture recognition for future internet application development. In: UNSPECIFIED (ed.) IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications. IEEE, pp. 372-377. ISBN 9781479961719.

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    Abstract

    The emerging Internet of Things landscape features billions of sensors that are connected to the Internet, monitoring our everyday life. Those sensors are able to communicate and share information and thus they have special requirements of storage, computation power and network. Cloud technology offers new services addressing the exponentially growing demands of IoT.We focus on innovation in developing Future Internet (FI) applications for motionsensor driven gesture recognition systems utilizing cloud technology and the FI-WARE core platform. We propose an architecture for sensor driven FI applicationsand we present a motion sensor cloud service (namely Interact) that features a set of application enablers and cloud services to demonstrate the adaptation of new standards in FI-WARE. The proposed solution interpretshand language gesture signals and offers an open gesture database for third party developers creating new opportunities for SMEs to commercialize innovative products and services. This could have impact in various areas, like healthcare provision or bioinformatics and offer future market openings for cloud services for user monitoring, training and education purposes.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): Internet of Things, cloud computing, gesture recognition, virtual instrumentation, FI-WARE core platform, Interact, SME, cloud technology, future Internet application development, hand language gesture signals, innovative products commercialization, motion sensor cloud service, motion sensor driven gesture recognition, open gesture database, services commercialization, third party developers, Authentication, Cloud computing, Computer architecture, Context, Databases, Gesture recognition, Cloud based sensor Application Development, FI-WARE, Future Internet Application Development, Iot, Motion Sensor Gesture Systems
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 01 Oct 2018 09:52
    Last Modified: 01 Oct 2018 09:52
    URI: http://eprints.bbk.ac.uk/id/eprint/21816

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