Bibliographic citations
Araujo, I., Linares, E. (2018). Desarrollo de aplicaciones biométricas y cognitivas para un modelo de espejo inteligente [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/624485
Araujo, I., Linares, E. Desarrollo de aplicaciones biométricas y cognitivas para un modelo de espejo inteligente [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2018. http://hdl.handle.net/10757/624485
@misc{renati/367222,
title = "Desarrollo de aplicaciones biométricas y cognitivas para un modelo de espejo inteligente",
author = "Linares Salmón, Eduardo Rodrigo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2018"
}
In recent years, the advancement of information and communication technologies (ICT) has helped improve the quality of life of people. The paradigm of Internet of Things (IoT) raises innovative solutions that are changing our lifestyle, so we propose the implementation of an intelligent mirror, with which we intend to optimize people's time while preparing to start the day. With the aim of providing information services such as weather, traffic information or public transport, news, music, television and calendar; Ceccaroni implemented a prototype intelligent mirror called Magical Mirror , where people could interact with the mirror using voice commands. Based on this, we have built a device from a reflective glass, an LCD monitor, a Raspberry Pi board, a camera and an IoT platform oriented to cloud computing, where the information displayed in the mirror is obtained through the consumption of web services. , which are customizable thanks to a mobile application, which in turn allows you to obtain the user's photos to access the mirror, by authenticating facial recognition and user information to predict the news that will be displayed according to their profile. In addition, as part of the idea of providing the user with a personalized experience, the intelligent mirror incorporates a news recommendation system, implemented using a predictive model, which in turn uses the Naive Bayes algorithm.
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