Explicaciones mediante realidad aumentada de sistemas de recomendación social en el dominio del ocio
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2019
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Abstract
Actualmente, en un mundo cada vez más tecnológico, es muy común que surjan aplicaciones diseñadas para satisfacer las necesidades de la sociedad en distintos ámbitos, como pueden ser el de la salud, la educación o el ocio entre otros. Nosotros con nuestro proyecto decidimos centrarnos en el ámbito del ocio y, más concretamente, en el mundo del cine. Nuestra aplicación surge de la necesidad de aquellas personas que quieren ver una película acompañados ya que, pocas personas hoy en día deciden ir al cine solas y podemos estar de acuerdo en que la mayoría de personas prefieren ver una película en compañía. Para dar respuesta a ésto, nuestra aplicación permite crear planes para ver una cierta película con amigos o personas que tengan un gusto similar. Además, existe la posibilidad de que un usuario no sepa que película quiere ver, por lo que la aplicación tendrá la capacidad de recomendar a los usuarios películas que se ajusten a los gustos que tienen. Lo más relevante de nuestra aplicación es la facilidad con la que un usuario puede interactuar con las películas y con los usuarios. Con esto nos referimos a que, gracias a la Realidad Aumentada, podremos reconocer con la cámara de nuestro dispositivo carteles de películas e incluso nos permite el reconocimiento facial de usuarios, para así obtener explicaciones sobre lo que estamos reconociendo en tiempo real y así poder interactuar a través de la Realidad Aumentada.
Nowadays, in a more and more technological world, it is very common that applications designed to satisfy society’s needs in different ambits, such as health, education or leisure appear. With our project we decided to focus on leisure’s ambit and, more concretely, in the cinema’s world. Our application comes up from the need of those people who want to watch a movie accompanied, since few people nowadays decide to go to the cinema alone and we can agree that the majority of people prefer to watch a movie in company. To answer this, our application allows the creation of plans to go watch a certain movie with friends or even people who have a similar taste. Also, it is possible that an user doesn’t know what movie he wants to see, so that the application will be capable of recommending the users movies that suit their tastes. What is more important about our application is the ease with which an user can interact with the films and the users. With this we mean that, thanks to augmented reality, we will be able to recognize with our device’s camera movie posters and it even allows facial recognition of users, so we can obtain explications about what we are recognizing in real time and so be able to interact with it through augmented reality.
Nowadays, in a more and more technological world, it is very common that applications designed to satisfy society’s needs in different ambits, such as health, education or leisure appear. With our project we decided to focus on leisure’s ambit and, more concretely, in the cinema’s world. Our application comes up from the need of those people who want to watch a movie accompanied, since few people nowadays decide to go to the cinema alone and we can agree that the majority of people prefer to watch a movie in company. To answer this, our application allows the creation of plans to go watch a certain movie with friends or even people who have a similar taste. Also, it is possible that an user doesn’t know what movie he wants to see, so that the application will be capable of recommending the users movies that suit their tastes. What is more important about our application is the ease with which an user can interact with the films and the users. With this we mean that, thanks to augmented reality, we will be able to recognize with our device’s camera movie posters and it even allows facial recognition of users, so we can obtain explications about what we are recognizing in real time and so be able to interact with it through augmented reality.
Description
Trabajo de Fin de Grado, Universidad Complutense, Facultad de Informática, Departamento de Ingeniería del Software e Inteligencia Artificial. Curso 2018/2019