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ThinkMind // UBICOMM 2016, The Tenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies // View article ubicomm_2016_2_10_10012


Intelligent Wearables

Authors:
Alexiei Dingli
Luca Bondin

Keywords: Profiling; Ontology; Augmented Reality; Intelligent recommendations; Implicit data gathering; Explicit data gathering; rule-based approach; Synsets; Precision; Recall; F-measure; tf-idf

Abstract:
Wearable devices are ever more becoming an asset in our everyday lives. This shift to ubiquitous computing has also led to the development of systems that make these wearable devices behave intelligently according to a user’s need, when deployed in various scenarios. The system discussed here, is envisaged to be deployed in a tourism environment as a personalized suggestion generation that relays information back to the user through an Augmented Reality framework. The implementation explored the use of various techniques in literature, and a series of tests were performed in order to evaluate the system’s personalization capabilities and its perceived efficiency. The Precision rate obtained was 81%, while Recall and F-Measure, stood at 60% and 65% respectively. Future work on this study opens the door to the implementation of such systems that allow for the development of intelligent wearable devices that can be both useful in increasing accessibility or simply entertainment.

Pages: 28 to 35

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-505-0

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016

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