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master's thesis
Detekcija raspoloženja na licu korištenjem strojnog učenja na iOS mobilnom uređaju
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:179:013916
Ivanušić, Ivan
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Ivanušić, I. (2022). Detekcija raspoloženja na licu korištenjem strojnog učenja na iOS mobilnom uređaju (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:013916

Ivanušić, Ivan. "Detekcija raspoloženja na licu korištenjem strojnog učenja na iOS mobilnom uređaju." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:013916

Ivanušić, Ivan. "Detekcija raspoloženja na licu korištenjem strojnog učenja na iOS mobilnom uređaju." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:013916

Ivanušić, I. (2022). 'Detekcija raspoloženja na licu korištenjem strojnog učenja na iOS mobilnom uređaju', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 30 December 2024, https://urn.nsk.hr/urn:nbn:hr:179:013916

Ivanušić I. Detekcija raspoloženja na licu korištenjem strojnog učenja na iOS mobilnom uređaju [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 December 30] Available at: https://urn.nsk.hr/urn:nbn:hr:179:013916

I. Ivanušić, "Detekcija raspoloženja na licu korištenjem strojnog učenja na iOS mobilnom uređaju", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:013916

Metadata
TitleDetekcija raspoloženja na licu korištenjem strojnog učenja na iOS mobilnom uređaju
Title (english)Facial expression recognition using machine learning on iOS mobile device
AuthorIvan Ivanušić
MentorToni Perković https://orcid.org/0000-0001-8826-4905 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je objasniti primjenu strojnog učenja pri izradi mobilnih aplikacija. Početak rada opisuje potrebne tehnologije i alate za izradu iOS mobilne aplikacije sa strojnim učenjem. Nastavak rada opisuje izradu jednostavnog modela za detekciju nekoliko ljudskih emocija te mobilne aplikacije u kojoj je primijenjen taj model koristeći kameru u realnom vremenu ili koristeći sliku iz galerije.
Abstract (english)
The goal of this thesis is to describe usage of the machine learning in the mobile applications. In the beginning, thesis describes tools and technologies used for developing iOS mobile app with machine learning. After that, thesis describe how to make simple machine learning model for detecting few human emotions and mobile application where that model is used. Application can load image from gallery or detect emotion in real-time using camera.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:013916
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-05-17 12:54:38