prikaz prve stranice dokumenta Prepoznavanje gesta praćenjem ruku u proširenoj stvarnosti
  Download
PDF 3.32 MB
master's thesis
Prepoznavanje gesta praćenjem ruku u proširenoj stvarnosti
2022. urn:nbn:hr:200:079826
Fumić, Matija
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Cite this document

Fumić, M. (2022). Prepoznavanje gesta praćenjem ruku u proširenoj stvarnosti (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:079826

Fumić, Matija. "Prepoznavanje gesta praćenjem ruku u proširenoj stvarnosti." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:079826

Fumić, Matija. "Prepoznavanje gesta praćenjem ruku u proširenoj stvarnosti." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:079826

Fumić, M. (2022). 'Prepoznavanje gesta praćenjem ruku u proširenoj stvarnosti', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 04 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:079826

Fumić M. Prepoznavanje gesta praćenjem ruku u proširenoj stvarnosti [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2025 January 04] Available at: https://urn.nsk.hr/urn:nbn:hr:200:079826

M. Fumić, "Prepoznavanje gesta praćenjem ruku u proširenoj stvarnosti", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:079826

Please login to the repository to save this object to your list.
Metadata
TitlePrepoznavanje gesta praćenjem ruku u proširenoj stvarnosti
Title (english)Hand tracking in augmented reality for gesture recognition
AuthorMatija Fumić
MentorČaslav Livada (mentor)
Committee memberČaslav Livada (predsjednik povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
Committee memberTomislav Galba (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2022-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
U ovom je diplomskom radu opisana implementacija sustava prepoznavanja gesta u tehnologijama proširene stvarnosti te zašto je isti koristan pri korištenju praćenja ruku. Ovaj sustav je implementirat na uređaju Oculus Quest 2 koristeći njihov Oculus SDK i Unity game engine, ali radi i na ostalim uređajima koji imaju mogućnost praćenja ruku. Kreirana gesta zatim je prenosiva na sve ostale platforme koji koriste kostur istog tipa. Neki modeli ruku napravljeni su drugačije te se palac i mali prst sastoje od četiriju kostiju. Za primjer u ovom diplomskom radu koristio se palac i mali prst od triju kostiju. Kreirane geste na modelu s četiriju kostiju rade na svim modelima ruku koje sadrže četiri kosti. Osim implementacije samog sustava, implementiran je i primjer korištenja algoritma kroz nekoliko različitih aplikacija.
Abstract (english)
This thesis describes the implementation of a gesture recognition system in extended reality technologies and why it is useful when using hand tracking. This system was implemented on the Oculus Quest 2 device using their Oculus SDK in the Unity game engine, but it also works on other devices that have hand tracking capabilities. Created gesture is then compatible with other platforms that use the same skeleton type. Some hand models are made differently, and the thumb and little finger consist of four bones. For the example in this thesis, the three-bone thumb and little finger were used. Gestures created on a four-bone model are compatible with all hand models that contain four bones. In addition to the implementation of the system itself, an example of using the algorithm through several different applications was shown.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:079826
Study programmeTitle: Graduate University Study Programme in Computer Engineering
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 conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-10-19 08:20:56