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master's thesis
Sustav za detekciju čučnjeva
2024. urn:nbn:hr:190:359063
Grdinić, Domagoj
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

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Grdinić, D. (2024). Sustav za detekciju čučnjeva (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:359063

Grdinić, Domagoj. "Sustav za detekciju čučnjeva." Master's thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:359063

Grdinić, Domagoj. "Sustav za detekciju čučnjeva." Master's thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:359063

Grdinić, D. (2024). 'Sustav za detekciju čučnjeva', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 03 October 2024, https://urn.nsk.hr/urn:nbn:hr:190:359063

Grdinić D. Sustav za detekciju čučnjeva [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2024 [cited 2024 October 03] Available at: https://urn.nsk.hr/urn:nbn:hr:190:359063

D. Grdinić, "Sustav za detekciju čučnjeva", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:190:359063

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Metadata
TitleSustav za detekciju čučnjeva
Title (english)Squat Detection System
AuthorDomagoj Grdinić
MentorMladen Tomić (mentor)
Committee memberMladen Tomić (predsjednik povjerenstva)
Committee memberJerko Škifić (član povjerenstva)
Committee memberKristijan Lenac (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2024-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema rada je izrada ugradbenog sustava implementiranog na Raspberry Pi uređaju i web aplikaciju za brojanje čučnjeva uz korištenje MoveNet modela za detekciju ključnih točaka i Feedforward Neuralne Mreže za klasifikaciju pokreta. Detaljno je razrađen proces razvoja i korišteno sklopovlje, kao i tehnologije i alati korišteni za razvijanje ovog sustava.
Abstract (english)
The topic of the work is the creation of an embedded system implemented on Raspberry Pi device, and a web application for counting squats using the MoveNet model for key point detection and Feedforward Neural Network for movement classification. The development process and circuit used, as well as the technologies and tools used to develop the system, have been elaborated in detail.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:359063
Study programmeTitle: 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 Attribution 4.0 International (CC BY 4.0) icon
Created on2024-10-01 11:23:26