El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / In recent years the advancement of technologies of information and communication (technology ICTs) have helped to improve the quality of people's lives. The paradigm of internet of things (IoT, Internet of things) presents innovative solutions that are changing the style of life of the people. Because of this proposes the implementation of a smart mirror as part of a system of home automation, with which we intend to optimize the time of people as they prepare to start their day. This device is constructed from a reflective glass, LCD monitor, a Raspberry Pi 3, a camera and a platform IoT oriented cloud computing, where the information is obtained to show in the mirror, through the consumption of web services. The information is customizable thanks to a mobile application, which in turn allows the user photos to access the mirror, using authentication with facial recognition and user information to predict the news to show according to your profile. In addition, as part of the idea of providing the user a personalized experience, the Smart Mirror incorporates a news recommendation algorithm, implemented using a predictive model, which uses the algorithm, naive bayes. / Revisión por pares
| Identifer | oai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/624657 |
| Date | 09 April 2018 |
| Creators | Garcia, Ivette Cristina Araujo, Salmon, Eduardo Rodrigo Linares, Riega, Rosario Villalta, Padilla, Alfredo Barrientos |
| Contributors | U201213830@upc.edu.pe, U201214377@upc.edu.pe, rosario.villalta@upc.edu.pe |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Source Sets | Universidad Peruana de Ciencias Aplicadas (UPC) |
| Detected Language | English |
| Type | info:eu-repo/semantics/article |
| Format | application/pdf |
| Source | 35, 39 |
| Rights | info:eu-repo/semantics/restrictedAccess |
| Relation | http://ieeexplore.ieee.org/document/8334722/ |
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