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master's thesis
Praćenje pokreta lica i očiju za beskontaktna korisnička sučelja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:760738
Begović, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Begović, F. (2024). Praćenje pokreta lica i očiju za beskontaktna korisnička sučelja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:760738

Begović, Filip. "Praćenje pokreta lica i očiju za beskontaktna korisnička sučelja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:760738

Begović, Filip. "Praćenje pokreta lica i očiju za beskontaktna korisnička sučelja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:760738

Begović, F. (2024). 'Praćenje pokreta lica i očiju za beskontaktna korisnička sučelja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:760738

Begović F. Praćenje pokreta lica i očiju za beskontaktna korisnička sučelja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:760738

F. Begović, "Praćenje pokreta lica i očiju za beskontaktna korisnička sučelja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:760738

Metadata
TitlePraćenje pokreta lica i očiju za beskontaktna korisnička sučelja
Title (english)Face and eye tracking for contactless user interfaces
AuthorFilip Begović
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberŽeljka Mihajlović (član povjerenstva)
Committee memberDejan Škvorc (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-18, Croatia
Abstract
U sklopu ovog rada razvijeno je beskontaktno korisničko sučelje temeljeno na praćenju lica i detekciji treptaja oka koristeći računalni vid i modele strojnog učenja. Korištenjem JavaScript biblioteke face-api.js implementirano je praćenje karakterističnih facijalnih točaka u stvarnom vremenu, omogućujući korisnicima upravljanje aplikacijom pokretima glave i treptanjem. Ključni izazov bio je detekcija suptilnih promjena svjetline šarenice prilikom treptanja, što je uspješno riješeno korištenjem naprednih modela. Aplikacija pruža široke mogućnosti primjene, uključujući asistivnu tehnologiju, sigurnosne sustave i industriju zabave, s prostorom za daljnja poboljšanja i proširenja funkcionalnosti.
Abstract (english)
As part of this Master Thesis, a contactless user interface based on facial tracking and blink detection was developed using computer vision and machine learning models. By utilizing the face-api.js JavaScript library, real-time tracking of key facial landmarks was implemented, allowing users to control the application through head movements and blinking. The main challenge was detecting subtle changes in iris brightness during blinks, which was successfully resolved using advanced models. The application offers broad potential for various applications, including assistive technology, security systems, and the entertainment industry, with room for further improvements and functionality expansion.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:760738
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 conditionsClosed access
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Created on2024-10-12 20:05:11