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master's thesis
Virtualna plutajuća tipkovnica zasnovana na kameri
2024. urn:nbn:hr:200:841773
Abjanović, Fabijan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Electronics and Microelectronics

Cite this document

Abjanović, F. (2024). Virtualna plutajuća tipkovnica zasnovana na kameri (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:200:841773

Abjanović, Fabijan. "Virtualna plutajuća tipkovnica zasnovana na kameri." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:841773

Abjanović, Fabijan. "Virtualna plutajuća tipkovnica zasnovana na kameri." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:841773

Abjanović, F. (2024). 'Virtualna plutajuća tipkovnica zasnovana na kameri', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 04 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:841773

Abjanović F. Virtualna plutajuća tipkovnica zasnovana na kameri [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2025 March 04] Available at: https://urn.nsk.hr/urn:nbn:hr:200:841773

F. Abjanović, "Virtualna plutajuća tipkovnica zasnovana na kameri", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:841773

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Metadata
TitleVirtualna plutajuća tipkovnica zasnovana na kameri
Title (english)Virtual floating based camera keyboard
AuthorFabijan Abjanović
MentorMarijan Herceg (mentor)
Committee memberMarijan Herceg (predsjednik povjerenstva)
Committee memberMario Vranješ (član povjerenstva)
Committee memberRatko Grbić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Communications)
(Chair of Electronics and Microelectronics)
Osijek
Defense date and country2024-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Abstract
U ovom diplomskom radu opisana je izrada virtualne tipkovnice koja koristi kameru za prepoznavanje pritisaka prstiju na ravnoj radnoj površini. Sustav omogućuje tipkanje bez fiziĉke tipkovnice, uz minimalnu potrebnu opremu i jednostavno odrţavanje. LRCN mreţa prepoznaje pritiske lijeve i desne ruke te razlikuje situacije kada nema pritiska. Za potrebe treniranja neuronske mreţe, kreiran je novi skup podataka s raznovrsnim slikama ruku jer postojeći nisu odgovarali potrebama ovoga rada. Algoritam, razvijen u Python programskom jeziku, u stvarnom vremenu obraĊuje videozapise, prikuplja petnaest uzastopnih okvira i koristi neuronsku mreţu za prepoznavanje pritisaka tipki. Grafiĉki prikaz omogućuje interaktivno tipkanje slova, znakova, brojeva i osnovnih funkcija kao što su enter, space i backspace. Model je treniran i evaluiran na zasebnom testnom skupu, a najbolji model odabran je na temelju performansi. Testiranje s tri skupine korisnika pokazalo je funkcionalnost i pouzdanost tipkanja, uz nedostatak kao što je sporost tipkanja zbog vremenskih zahtjeva modela i kamere.
Abstract (english)
In this thesis the creation of a virtual keyboard is described, that uses a camera to recognize finger presses on a flat working surface. The system enables typing without a physical keyboard, requiring minimal equipment and simple maintenance. An LRCN network recognizes presses from the left and right hands and distinguishes situations where there is no press. For the purpose of training the neural network, a new dataset was created with diverse hand images, as existing ones did not meet the needs of this work. The algorithm, developed in the Python programming language, processes videos in real-time, collects fifteen consecutive frames, and uses a neural network to recognize key presses. A graphical interface allows interactive typing of letters, symbols, numbers and basic functions such as enter, space and backspace. The model was trained and evaluated on a separate test set, with the best model selected based on performance. Testing with three user groups demonstrated the functionality and reliability of typing, with a drawback being the slow typing speed due to the time requirements of the model and the camera.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:841773
Study programmeTitle: University Study Automobile Computer and Communication
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija (sveučilišni/a magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-18 07:00:28