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undergraduate thesis
Očitavanje pulsa osobe iz video snimke
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:811076
Juraga, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Juraga, I. (2019). Očitavanje pulsa osobe iz video snimke (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:811076

Juraga, Ivan. "Očitavanje pulsa osobe iz video snimke." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:811076

Juraga, Ivan. "Očitavanje pulsa osobe iz video snimke." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:811076

Juraga, I. (2019). 'Očitavanje pulsa osobe iz video snimke', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:811076

Juraga I. Očitavanje pulsa osobe iz video snimke [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 August 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:811076

I. Juraga, "Očitavanje pulsa osobe iz video snimke", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:811076

Metadata
TitleOčitavanje pulsa osobe iz video snimke
Title (english)Estimating the Person's Pulse From a Video Recording
AuthorIvan Juraga
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberIvana Zadro Matovinović (član povjerenstva)
Committee memberKarlo Koščević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Završni rad je bila primjena dubokih neuronskih mreža u svrhu određivanja pulsa osobe preko video snimke lica. Izrada rada sastojala se od 3 glavna dijela: sakupljanje video zapisa i izrada skupa podataka, programiranje samog modela te treniranje modela u svrhu veće točnosti. Modelova mreža je sastavljena od kombinacije konvolucijske, ponavljajuće i potpuno povezane mreže sa adam optimizatorom i MAE kao načinom izračuna pogreške. Model trenutno može sa sigurnošću pretpostaviti da li se radi o niskom, srednjem ili visokom pulsu, a loss mu trenutno iznosi =~4.9 što je uzeći u obzir nepreciznost instumenta za izračun pulsa zadovoljavajuće . Sama implementacija je izvedena u programskom jeziku Python koristeći biblioteke Tensorflow i Keras.
Abstract (english)
Thesis based predicting pulse by monitoring person's face using deep neural network. The making of the thesis consists of three large parts: making a dataset, programing and finally training the model. The dataset was made specially for this thesis and is still not finished, while the model is made as a combination of convolutional,fully connected and reccurent network with mean square error as the loss function and adam as the optimizer. Right now the model gives decent results but the model will be further worked on to try prove that you can predict pulse from a video of a person's face. The code is written in python with Tensorflow and Keras as the driving force of the model.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:811076
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 18:47:57