Talavera Martínez, EstefaníaBevzenko, Alexander2019-09-302019-09-302019-02-01https://hdl.handle.net/2445/141237Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2019, Director: Estefanía Talavera[en] When I was thinking what topic to choose and what work would it be. On the one hand I wanted it to be from the area that is particularly interesting and I can use my knowledge. On the other hand I wanted to study something new and exciting. This work exceeded my expectations. In this work I apply all my skills developed during my education in University of Barcelona to work on real scientific case. I do my research reading many papers on topic, develop methods that suit my case, brainstorm new ideas, spend hours coding and debugging them, spend days waiting calculations to finish and finally - obtain results I’m satisfied with. This work is about turning 106 days and 70GB of egocentric photostreams into a simple predictions if a particular day is a routine or no.67 p.application/pdfengmemòria: cc-by-nc-sa (c) Alexander Bevzenko, 2019codi: GPL (c) Alexander Bevzenko, 2019http://creativecommons.org/licenses/by-nc-nd/3.0/es/http://www.gnu.org/licenses/gpl-3.0.ca.htmlProcessament digital d'imatgesAprenentatge automàticProgramariTreballs de fi de grauSistemes classificadors (Intel·ligència artificial)Càmeres de vídeo digitalsDigital image processingMachine learningComputer softwareLearning classifier systemsDigital video camerasBachelor's thesesTowards routine discovery from egocentric photostreamsinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess