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undergraduate thesis
Prepoznavanje emocija iz izraza lica pomoću strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:911462
Ciglenečki, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Ciglenečki, M. (2021). Prepoznavanje emocija iz izraza lica pomoću strojnog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:911462

Ciglenečki, Matej. "Prepoznavanje emocija iz izraza lica pomoću strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:911462

Ciglenečki, Matej. "Prepoznavanje emocija iz izraza lica pomoću strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:911462

Ciglenečki, M. (2021). 'Prepoznavanje emocija iz izraza lica pomoću strojnog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:911462

Ciglenečki M. Prepoznavanje emocija iz izraza lica pomoću strojnog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 July 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:911462

M. Ciglenečki, "Prepoznavanje emocija iz izraza lica pomoću strojnog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:911462

Metadata
TitlePrepoznavanje emocija iz izraza lica pomoću strojnog učenja
Title (english)Recognizing Emotions From Facial Expressions Using Machine Learning
AuthorMatej Ciglenečki
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberKarlo Koščević (član povjerenstva)
Committee memberDenis Milošević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-06-29, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ljudske emocije temeljni dio svih mogućih ljudskih radnji. Treniranjem modela pomoću strojnog učenja koji može klasificirati emocije na temelju slika ljudskih lica otvaraju se mogućnosti za objektivno analiziranje ljudskog ponašanja i razmišljanja u široko primjenjivim situacijama. Uz dva podatkovna skupa ljudskih lica, ResNet 50 mrežu i prijenosnim učenjem ponovno istrenirani model može klasificirati neviđene slike ljudskog lica sa 60% točnosti.
Abstract (english)
Human emotions are the base of all human activities. Training a model by using a machine learning method which can later classify emotions given an image of a human facial expression opens up a possibility for an objective analysis of human behaviour and thought process in diverse situations. With two datasets containing images of human facial expressions, ResNet 50 network and transferred learning method the trained model can classify emotions given an unseen image of human facial expression with an accuracy of 60%
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:911462
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 20:11:16