Abstract
We propose proactive localization system as a part of cyber-physical-social space. The proactive localization system allows to track every mobile entity of the system: man, autonomous mobile robot, etc. It’s possible to predict activity of the tracking object, using machine learning techniques. In this paper we compare different machine learning models for our system, and present the results of testing trained models.
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CITATION STYLE
Saveliev, A., Malov, D., Edemskii, A., & Pavliuk, N. (2018). Proactive localization system concept for users of cyber-physical space. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11097 LNAI, pp. 233–238). Springer Verlag. https://doi.org/10.1007/978-3-319-99582-3_24
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