Abstract
This work describes an analysis process for the movement traces of users during water activities. The data is collected by a mobile phone app that the Navionics company developed to provide to its users sea maps and navigation services. The final objective of the project is to recognize the prevalent activity types of the users (fishing, sailing, cruising, canoeing), in order to personalize services and advertising.
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Nanni, M., Trasarti, R., Giannotti, F. (2017). Movement Behaviour Recognition for Water Activities. In: Guidotti, R., Monreale, A., Pedreschi, D., Abiteboul, S. (eds) Personal Analytics and Privacy. An Individual and Collective Perspective. PAP 2017. Lecture Notes in Computer Science(), vol 10708. Springer, Cham. https://doi.org/10.1007/978-3-319-71970-2_7
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DOI: https://doi.org/10.1007/978-3-319-71970-2_7
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