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master's thesis
Višeplatformsko rješenje za tjelovježbu zasnovano na prepoznavanju poze
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:526901
Rudelić, Niko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Rudelić, N. (2022). Višeplatformsko rješenje za tjelovježbu zasnovano na prepoznavanju poze (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:526901

Rudelić, Niko. "Višeplatformsko rješenje za tjelovježbu zasnovano na prepoznavanju poze." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:526901

Rudelić, Niko. "Višeplatformsko rješenje za tjelovježbu zasnovano na prepoznavanju poze." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:526901

Rudelić, N. (2022). 'Višeplatformsko rješenje za tjelovježbu zasnovano na prepoznavanju poze', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:526901

Rudelić N. Višeplatformsko rješenje za tjelovježbu zasnovano na prepoznavanju poze [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:526901

N. Rudelić, "Višeplatformsko rješenje za tjelovježbu zasnovano na prepoznavanju poze", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:526901

Metadata
TitleVišeplatformsko rješenje za tjelovježbu zasnovano na prepoznavanju poze
Title (english)A multiplatform solution for physical exercise based on pose detection
AuthorNiko Rudelić
MentorJurica Babić (mentor)
Committee memberJurica Babić (predsjednik povjerenstva)
Committee memberMirko Sužnjević (član povjerenstva)
Committee memberVedran Podobnik (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-06-29, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Zbog sve manjeg prakticiranja tjelesne aktivnosti, u okviru Erasmus+ projekta INNOSID rodila se ideja o razvoju programskog rješenja koja će služiti kao potpora za gibanje i rekreaciju kod ljudi, a pogotovo kod osoba s invaliditetom (OSI). Promatrajući postojeća rješenja za tjelovježbu, koja koriste računalni vid, nisu uočena rješenja koja se prilagođavaju OSI. U sklopu ovog rada, razvijen je prototip višeplatformskog programskog rješenja prilagođenog osobama s invaliditetom. Specifično, programsko rješenje radnog naziva 'Gibalica' razvijeno je u razvojnom okruženju Flutter za iOS i Android uređaje. Gibalica koristi tehnologiju računalnog vida za raspoznavanje čovjeka i jedanaest baznih poza tjelovježbe i njihovih kombinacija u stvarnom vremenu na temelju ulaznog videa. Korisnik je u mogućnosti koristiti aplikaciju kroz tri igre: 'Trening', 'Dan i noć' i 'Ponavljanje'. Provedene su dvije faze testiranja programskog rješenja, alfa i beta testiranje. Alfa testiranje provedeno je interno u iteracijama kroz čitav razvoj, a beta testiranje u suradnji s Hrvatskom zajednicom za Down sindrom (HZDS). Programsko rješenje dobilo je pozitivnu povratnu informaciju HZDS-a gdje se u evaluaciji programsko rješenje pokazalo motivirajuće, zanimljivo i korisno.
Abstract (english)
Due to the declining practice of physical activity, within the Erasmus + project INNOSID, the idea was born to develop a software solution that will serve as a support for movement and recreation in people, especially people with disabilities (PWD). Looking at the existing exercise solutions, which use computer vision, no solutions that adapt to PWD have been observed. As part of this thesis, a prototype of a multi-platform software solution adapted for people with disabilities was developed. Specifically, the software solution working title ‘Gibalica’ was developed in the Flutter framework for iOS and Android devices. The 'Gibalica' uses computer vision technology to recognize a human and eleven basic exercise poses and their combinations in real time based on input video. The user is able to use the app through three games: ‘Training’, ‘Day and Night’ and ‘Repetition’. Two phases of software solution testing were performed, alpha and beta testing. Alpha testing was conducted internally in iterations throughout the development, and beta testing in collaboration with the Croatian Down Syndrome Association. The software solution received positive feedback from the Croatian Down Syndrome Association, where the evaluation of the software solution proved to be motivating, interesting and useful.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:526901
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-14 09:51:33