Bežični sustav za praćenje ljudskog pokreta

Brečić, Matej

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undergraduate thesis

Bežični sustav za praćenje ljudskog pokreta

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:377331

Brečić, Matej

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

APA 6th Edition

Brečić, M. (2019). Bežični sustav za praćenje ljudskog pokreta (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:377331

MLA 8th Edition

Brečić, Matej. "Bežični sustav za praćenje ljudskog pokreta." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:377331

Chicago 17th Edition

Harvard

Brečić, M. (2019). 'Bežični sustav za praćenje ljudskog pokreta', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:377331

Vancouver

Brečić M. Bežični sustav za praćenje ljudskog pokreta [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:377331

IEEE

M. Brečić, "Bežični sustav za praćenje ljudskog pokreta", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:377331

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:377331

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Metadata

Title	Bežični sustav za praćenje ljudskog pokreta
Title (english)	Wireless System for Human Motion Tracking
Author	Matej Brečić
Mentor	Hrvoje Džapo (mentor)
Committee member	Hrvoje Džapo (predsjednik povjerenstva)
Committee member	Saša Tepić (član povjerenstva)
Committee member	Zrinka Kovačić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2019-09-02, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering
Abstract	Praćenje ljudskog pokreta jedno je od čestih primjena današnje tehnologije. Biomedicina, orijentacija, mobilna i vojna industrija, videoigre, sport, rekreacija i rehabilitacija samo su neka od područja u kojima su takve tehnologije pronašle svoje mjesto. U osnovi tehnologija za praćenje pokreta nalaze se inercijski senzori. U ovom radu obrađene su osnove 9DOF inercijskih senzora, njihove karakteristike i mogućnosti. Navedene su brojne metode praćenja pokreta kao i algoritmi za obradu senzorskih podataka, uz navođenje brojnih znanstvenih radova koji se bave ovom problematikom. Kao praktični primjer izrađen je jednostavni uređaj za prikupljanje informacija s MPU-9250 9DOF inercijskog senzora, temeljen na nRF52840 razvojnom uređaju. Uzevši u obzir dostupnost i mogućnosti pametnih telefona, odabrana je Android aplikacija za prikazivanje senzorskih podataka. Podaci se na mobilni uređaj šalju putem Bluetooth bežičnog komunikacijskog protokola. Ispis je prihvatljivo sukladan stvarnim promjenama položaja senzora. Uz dodatak naprednih algoritama za obradu podataka, uređaj ima potencijal za široku primjenu u svakodnevnom životu.
Abstract (english)	Human motion tracking is one of the widespread applications of today's technology. Biomedicine, orientation, mobile and military industry, video games, sports, recreation and rehabilitation are just some of the areas where such technologies can find their place. Motion monitoring technologies are based on inertial sensor technologies. This paper elaborates 9DOF inertial sensors, their characteristics and capabilities. Numerous methods of motion monitoring, as well as algorithms for the processing of sensor data, have been presented, with references to numerous scientific papers dealing with this issue. A simple movement data gathering device based on the nRF52840 development kit was developed using MPU-9250 9DOF inertial sensors. Given the availability and smart phone capabilities, Android application has been selected as the most suitable way for displaying data output. Data is transferred to a mobile device via Bluetooth wireless communication. Data output from this device is acceptable, compared with actual sensor position changes. With the addition of advanced data processing algorithms, the device has a potential for widespread use in everyday life.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:377331
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Public note
Repository	FER Repository
Created on	2020-01-07 17:00:27