Smart apps for applied machine learning on mobile devices: the MOMO project

Stefan Edlich; Mathias Vogler

doi:10.1117/12.2005173

7 March 2013 Smart apps for applied machine learning on mobile devices: the MOMO project

Stefan Edlich, Mathias Vogler

Author Affiliations +

Proceedings Volume 8667, Multimedia Content and Mobile Devices; 86670T (2013) https://doi.org/10.1117/12.2005173
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

The MOMO Project consists of the parts Mobile Computing and ECO Mobility. We present research results from a subproject of the Mobile Computing part. In particular we develop Smart-Apps for modern smartphones. These applications gather data from the owners to be filtered and processed central or distributed. The applications target persons or streams of visitors at events as e.g. concerts, amusement parks or any other official buildings. Smart Apps will work up this data, visualize it and most of all allow an intelligent prediction of the user’s behavior together with recommendations. Therefore we discuss visualization strategies and the underlying machine learning concepts and applications on the mobile and on the server-side.

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Stefan Edlich and Mathias Vogler "Smart apps for applied machine learning on mobile devices: the MOMO project", Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86670T (7 March 2013); https://doi.org/10.1117/12.2005173

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