prikaz prve stranice dokumenta Detekcija emocija učenika na temelju položaja tijela
No public access
undergraduate thesis
Detekcija emocija učenika na temelju položaja tijela
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:465871
Bagarić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bagarić, I. (2020). Detekcija emocija učenika na temelju položaja tijela (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:465871

Bagarić, Ivan. "Detekcija emocija učenika na temelju položaja tijela." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:465871

Bagarić, Ivan. "Detekcija emocija učenika na temelju položaja tijela." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:465871

Bagarić, I. (2020). 'Detekcija emocija učenika na temelju položaja tijela', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:465871

Bagarić I. Detekcija emocija učenika na temelju položaja tijela [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 July 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:465871

I. Bagarić, "Detekcija emocija učenika na temelju položaja tijela", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:465871

Metadata
TitleDetekcija emocija učenika na temelju položaja tijela
Title (english)Emotion Detection of Pupils Based on Body Position
AuthorIvan Bagarić
MentorAna Sović Kržić (mentor)
Committee memberAna Sović Kržić (predsjednik povjerenstva)
Committee memberLiljana Pushkar (član povjerenstva)
Committee memberIvana Storjak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-08-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Nastavnici koriste mnoge kreativne pristupe poučavanju kako bi postigli maksimum znanja uz maksimalno ugodno učenje. Postignuto znanje se mjeri testovima, no ne postoji mjera koja opisuje ugodu učenja. U okviru rada korištene su video snimke kao i metode dubokog učenja kako bi se izmjerila ugoda za vrijeme nastavnog sata.
Abstract (english)
Professors are applying various creative ways of teaching in order to get the best out of their students without a lot of stress. Obtained knowledge will be measured through various exams, however, what we miss is an exam to measure students' comfort and pleasure while studying. We used videos and different methods of deep learning to measure the students' comfort when present in class.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:465871
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
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-13 14:24:49