Prepoznavanje emocija na temelju izraza lica tenisača tijekom igre

master's thesis

• Title (english): Emotion recognition using facial expressions of tennis players during matches
• Author: Palma Kopić
• Mentor: Marina Bagić Babac (mentor)
• Committee member: Marina Bagić Babac (predsjednik povjerenstva)
• Committee member: Boris Vrdoljak (član povjerenstva)
• Committee member: Mirjana Domazet-Lošo (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-09-19, Croatia

Abstract

Ovaj diplomski rad istražuje korištenje tehnika strojnog učenja za prepoznavanje emocija na temelju izraza lica koje tenisači pokazuju tijekom igre, s ciljem razumijevanja korelacije emocija s rezultatima izvedbe. Analiza uključuje klasifikaciju i karakterizaciju emocija koje igrači pokazuju tijekom igre, ispitivanje kako se te emocije razvijaju tijekom vremena i njihov utjecaj na ishod igre. Za strojno učenje modela koristit će se javno dostupni skup podataka s interneta (tzv. EMOTIC dataset)... More koji sadrži slike ljudi u svakodnevnim okruženjima klasificirane prema njihovim emocijama. Less

Abstract (english)

This thesis investigates the use of machine learning techniques for emotion recognition based on facial expressions exhibited by tennis players during matches, aiming to understand their correlation with performance outcomes. The analysis involves the classification and characterization of emotions displayed by players throughout matches, examining how these emotions evolve over time and their impact on match outcomes. A publicly available dataset on Internet containing images of people in... More everyday environments classified according to their emotions (EMOTIC Dataset) will be used for machine learning of the model. Less

• Keywords: strojno učenje; prepoznavanje emocija; izrazi lica; tenisači; performanse; klasifikacija; EMOTIC skup podataka
• Keywords (english): machine learning; emotion recognition; facial expressions; tennis; performance; classification; EMOTIC Dataset
• Language: english
• URN:NBN: urn:nbn:hr:168:028498
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-11-07 05:39:17