Escalera Guerrero, SergioPalmero Cantariño, CristinaClivillé Sánchez, Sergi2021-11-162021-11-162021-01-25https://hdl.handle.net/2445/181237Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Sergio Escalera Guerrero i Cristina Palmero Cantariño[en] The study of the gaze behavior using images is an ongoing research area of significant relevance in sociology and psychology for its participation in multiple cognitive processes. The use of Convolutional Neural Networks for their study is the standard option, but they need accurate gaze data in order to improve their estimation. The lack of gaze data in some populations, such as children or the elderly, makes the estimations of the devices that use this technology less accurate with them. In this project, and with the objective to solve this lack of available data, we propose a 3-camera system that will allow us to calculate the gaze vectors of any person in a simple, accurate and minimally invasive way, explaining step by step all the mathematical concepts involved in its calculation.36 p.application/pdfcatcc-by-nc-nd (c) Sergi Clivillé Sánchez, 2021codi: GPL (c) Sergi Clivillé Sánchez, 2021http://creativecommons.org/licenses/by-nc-nd/3.0/es/http://www.gnu.org/licenses/gpl-3.0.ca.htmlVisió per ordinadorTreballs de fi de grauReconeixement de formes (Informàtica)Geometria projectivaXarxes neuronals convolucionalsComputer visionBachelor's thesesPattern recognition systemsProjective geometryConvolutional neural networksinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess