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undergraduate thesis
Primjena strojnog učenja na detekciju kašlja temeljena na Arduino platformi
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. urn:nbn:hr:179:235656
Miletić, Tomislav
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Miletić, T. (2021). Primjena strojnog učenja na detekciju kašlja temeljena na Arduino platformi (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:235656

Miletić, Tomislav. "Primjena strojnog učenja na detekciju kašlja temeljena na Arduino platformi." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:235656

Miletić, Tomislav. "Primjena strojnog učenja na detekciju kašlja temeljena na Arduino platformi." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:235656

Miletić, T. (2021). 'Primjena strojnog učenja na detekciju kašlja temeljena na Arduino platformi', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:179:235656

Miletić T. Primjena strojnog učenja na detekciju kašlja temeljena na Arduino platformi [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:179:235656

T. Miletić, "Primjena strojnog učenja na detekciju kašlja temeljena na Arduino platformi", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:235656

Metadata
TitlePrimjena strojnog učenja na detekciju kašlja temeljena na Arduino platformi
Title (english)Application of machine learning on cough detection based on Arduino platform
AuthorTomislav Miletić
MentorToni Perković (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2021-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Basic Technical Sciences
Automatics
Abstract
U završnom radu su iznijete teorijske i praktične osnove strojnog učenja, te je na njihovom temelju istreniran uređaj koji je sposoban prepoznati kašalj i razlikovati kašalj od bilo kojeg drugog zvuka. Projekt je realiziran pomoću aplikacije Edge Impuls kroz koju je uređaj istreniran kao pametni uređaj. Za programiranje uređaja Arduino 33 BLE Sense korišten je Arduino IDE software, a za Arduino Uno korišten je Visual Studio Code. Uređaj dalje šalje informaciju drugom uređaju pomoću modula nrf24L01 bežičnim putem da je kašalj, a ta informacija se objavljuje na internet, što predstavlja rad s IoT (engl. Internet of Things). Projekt, kao i svaki drugi, ima mogućnost unaprjeđenja na razne načine.
Abstract (english)
The theoretical and practical foundations of machine learning are presented in this final paper. A device was trained to be capable of recognizing cough and distinguishing cough from any other sound according to the principle of machine learning. The project was created using the Edge Impulse application through which the device was trained as a smart device. Arduino IDE software was used to program the Arduino 33 BLE Sense, and Visual Studio Code was used for the Arduino Uno. The device further sends information wirelessly to another device using the module nrf24L01 that the cough is detected, and this information is published on the Internet, which represents working with IoT. The project, like any other, has the potential for improvement in a variety of ways.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:235656
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
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Created on2021-12-08 09:32:28