AVIUE — Artificial vision to improve the user experience
Daniel Gonzalez Losada, Gustavo Adolfo Rosai Lopez, Rodrigo García Acevedo, Alberto Fernández · 2013
Users require specialized and specific services increasingly. In this paper a vision-based system to personalize and specialize services is proposed. Attributes such as gender, age, ethnicity, emotion and identity can be acquired using computer vision techniques by employing state-of-the-art algorithms. In this way, user attributes are captured in an automated and nonintrusive way. In order to test the presented solution, current open data available for cities is used. In particular, data provided by the city of Gijo´n is taken into account. Thereby, personalized services can be developed in order to provide better information to the user. Data is captured in strategic locations with no impact on the urban furniture with the aim of collecting users' information on a non-intrusive way and develop new services tailored to the users' profile. The proposed system is complemented with a gestural user interface in order to achieve a more relaxed and natural man-machine interaction.