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master's thesis
Mobilna aplikacija za brojanje koraka
2024. urn:nbn:hr:190:482274
Jan, Andrea
University of Rijeka
Faculty of Engineering
Department of Computer Engineering

Cite this document

Jan, A. (2024). Mobilna aplikacija za brojanje koraka (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:482274

Jan, Andrea. "Mobilna aplikacija za brojanje koraka." Master's thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:482274

Jan, Andrea. "Mobilna aplikacija za brojanje koraka." Master's thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:482274

Jan, A. (2024). 'Mobilna aplikacija za brojanje koraka', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 23 April 2025, https://urn.nsk.hr/urn:nbn:hr:190:482274

Jan A. Mobilna aplikacija za brojanje koraka [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2024 [cited 2025 April 23] Available at: https://urn.nsk.hr/urn:nbn:hr:190:482274

A. Jan, "Mobilna aplikacija za brojanje koraka", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:190:482274

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Metadata
TitleMobilna aplikacija za brojanje koraka
Title (english)Mobile application for counting steps
AuthorAndrea Jan
MentorMladen Tomić (mentor)
Committee memberSandi Ljubić (predsjednik povjerenstva)
Committee memberIvo Ipšić (član povjerenstva)
Committee memberMladen Tomić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
Rijeka
Defense date and country2024-01-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Diplomski rad istražuje primjenu inercijskih senzora pametnih telefona u kontekstu praćenja koraka, s posebnim naglaskom na akcelerometar kao ključni senzor za preciznost mjerenja. Analiziraju se i ostali relevantni senzori poput senzora pokreta, okoline i položaja, istražujući njihovu međusobnu interakciju. Razmatraju se najnoviji algoritmi za detekciju koraka, obuhvaćajući metode temeljene na parametrima, strojnom učenju i dubokom učenju. Cilj je analizirati prednosti i ograničenja svake... More metode s naglaskom na odabir optimalnog pristupa za implementaciju u aplikaciji. Proces implementacije Android aplikacije detaljno je opisan, vođen relevantnim znanstvenim člancima. Prikazani su ključni koraci, uključujući metodu detekcije vrhova i pet koraka obrade podataka, od linearnog interpoliranja do odabira pravih vrhova putem periodičnosti i sličnosti. Provedeno testiranje na deset sudionika obuhvatilo je različite aktivnosti i položaje uređaja, s usporedbom rezultata s popularnim aplikacijama poput "Mi Fitness" i "Pedometer App". Statistička analiza rezultata pruža uvid u točnost, utjecaj uvjeta testiranja te ukupnu pouzdanost razvijenog sustava za brojanje koraka. Less
Abstract (english)
This master's thesis explores the application of inertial sensors in smartphones within the context of step tracking, with a particular emphasis on the accelerometer as a pivotal sensor for precise measurements. Other pertinent sensors such as motion, environmental, and positional sensors are analyzed, investigating their mutual interaction. The latest algorithms for step detection are examined, encompassing methods based on parameters, machine learning, and deep learning. The objective... More is to analyze the advantages and limitations of each method, with a focus on selecting the most optimal approach for implementation in the application. The process of implementing the Android application is comprehensively described, guided by pertinent scientific articles. Key steps are illustrated, including the peak detection method and five data processing stages, ranging from linear interpolation to selecting accurate peaks through periodicity and similarity analysis. Testing involving ten participants covered various activities and device positions, with results compared to popular applications like "Mi Fitness" and "Pedometer App". Statistical analysis provides insights into accuracy, the influence of testing conditions, and the overall reliability of the developed step-counting system. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:482274
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 on2024-01-22 11:31:01
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