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master's thesis
Raspoznavanje fizičke aktivnosti iz vremenskih sljedova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:184244
Matić, Zvonimir
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Matić, Z. (2021). Raspoznavanje fizičke aktivnosti iz vremenskih sljedova (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:184244

Matić, Zvonimir. "Raspoznavanje fizičke aktivnosti iz vremenskih sljedova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:184244

Matić, Zvonimir. "Raspoznavanje fizičke aktivnosti iz vremenskih sljedova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:184244

Matić, Z. (2021). 'Raspoznavanje fizičke aktivnosti iz vremenskih sljedova', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:184244

Matić Z. Raspoznavanje fizičke aktivnosti iz vremenskih sljedova [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:184244

Z. Matić, "Raspoznavanje fizičke aktivnosti iz vremenskih sljedova", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:184244

Metadata
TitleRaspoznavanje fizičke aktivnosti iz vremenskih sljedova
Title (english)Physical Activity Recognition From Time Series
AuthorZvonimir Matić
MentorRatko Magjarević (mentor)
Committee memberRatko Magjarević (predsjednik povjerenstva)
Committee memberIgor Lacković (član povjerenstva)
Committee memberDinko Oletić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
O ovome radu obrađeno je područje segmentacije vremena i detekcije aktivnosti. Opisane su aktivnosti te dan skup podataka snimljenih akcelerometrom koji ih sadrži. Obrađeni su spomenuti podaci te su se koristili za testiranje algoritma za detekciju aktivnosti. Napisan je algoritam koji je detektirao aktivnosti u zapisu te ih pojedinačno izdvojio. Prikazani su rezultati algoritma te se raspravljalo o njegovom učinku u detekciji.
Abstract (english)
In this paper the scope of time segmentation and activity detection was processed. Activities were described and dataset recorded using an accelerometer were analyzed. The dataset was processed and was used to test the activity detection algorithm. Algorithm was written which detected the activities in the dataset and segregated each of the activities. The results of the algorithm were shown and it was discussed about its results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:184244
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-13 10:23:53