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master's thesis
Detekcija gesti prstiju/ruku zasnovana na nečujnom audio-signalu
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. urn:nbn:hr:200:885241
Jurkić, Ena
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Electronics and Microelectronics

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Jurkić, E. (2024). Detekcija gesti prstiju/ruku zasnovana na nečujnom audio-signalu (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:200:885241

Jurkić, Ena. "Detekcija gesti prstiju/ruku zasnovana na nečujnom audio-signalu." 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:200:885241

Jurkić, Ena. "Detekcija gesti prstiju/ruku zasnovana na nečujnom audio-signalu." 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:200:885241

Jurkić, E. (2024). 'Detekcija gesti prstiju/ruku zasnovana na nečujnom audio-signalu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:885241

Jurkić E. Detekcija gesti prstiju/ruku zasnovana na nečujnom audio-signalu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:200:885241

E. Jurkić, "Detekcija gesti prstiju/ruku zasnovana na nečujnom audio-signalu", 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:200:885241

Metadata
TitleDetekcija gesti prstiju/ruku zasnovana na nečujnom audio-signalu
Title (english)Fingers/hand gestures detection based on non audible sound
AuthorEna Jurkić
MentorMarijan Herceg (mentor)
Committee memberMarijan Herceg (predsjednik povjerenstva)
Committee memberRatko Grbić (član povjerenstva)
Committee memberMario Vranješ (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 country2024-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Abstract
Prepoznavanje i razlikovanje gesti ruku korisnika postalo je važno zbog velikog porasta upotrebe uređaja nosive tehnologije (engl. wearables), poput pametnog sata. Jedan od načina detekcije gesti ruku korisnika je korištenjem nečujnog audio-signala na način da se takav signal generira zvučnikom te se analizira reflektirani signal korištenjem mikrofona. U okviru ovog rada razvijen je algoritam zasnovan na dubokom učenju koji koristi komercijalne zvučnike i mikrofone za generiranje nečujnog audio-signala i analizu reflektiranog nečujnog audio-signala. Nadalje, kreirana je baza nečujnih audio-signala gesti ruku na kojoj je neuronska mreža trenirana i testirana. Na kraju su testirane performanse izrađenog algoritma te je implementiran za rad u stvarnom vremenu.
Abstract (english)
Recognizing and differentiating user hand gestures has become important due to the large increase in wearable technology device usage, such as smartwatches. One of the ways to detect user hand gestures is to generate an inaudible audio signal through speakers and analize the reflected signal using microphones. In this paper, an algorithm based on deep learning was developed, that uses commercial speakers and microphones to generate an inaudible audio signal and analize its reflected audio signal. Furthermore, a database of inaudible audio signals was created and used for neural network training and testing. Finally, the algorithm's performance was tested and implemented in real time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:885241
Study programmeTitle: Graduate university study programme in Electrical Engineering (branches: Power Engineering and Communications and Informatics; specializations in: Engineering, Power Engineering and Communications, Communications and Informatics
Course: Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka elektrotehnike (sveučilišni/a magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-04 10:51:22