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undergraduate thesis
Senzori u sklopu pametnih telefona i nosive tehnologije te njihova uporaba u svakodnevnom životu
2022. urn:nbn:hr:166:586295
Radak, Josipa
University of Split
Faculty of Science
Department of Informatics

Cite this document

Radak, J. (2022). Senzori u sklopu pametnih telefona i nosive tehnologije te njihova uporaba u svakodnevnom životu (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:586295

Radak, Josipa. "Senzori u sklopu pametnih telefona i nosive tehnologije te njihova uporaba u svakodnevnom životu." Undergraduate thesis, University of Split, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:166:586295

Radak, Josipa. "Senzori u sklopu pametnih telefona i nosive tehnologije te njihova uporaba u svakodnevnom životu." Undergraduate thesis, University of Split, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:166:586295

Radak, J. (2022). 'Senzori u sklopu pametnih telefona i nosive tehnologije te njihova uporaba u svakodnevnom životu', Undergraduate thesis, University of Split, Faculty of Science, accessed 25 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:586295

Radak J. Senzori u sklopu pametnih telefona i nosive tehnologije te njihova uporaba u svakodnevnom životu [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2022 [cited 2024 April 25] Available at: https://urn.nsk.hr/urn:nbn:hr:166:586295

J. Radak, "Senzori u sklopu pametnih telefona i nosive tehnologije te njihova uporaba u svakodnevnom životu", Undergraduate thesis, University of Split, Faculty of Science, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:166:586295

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Metadata
TitleSenzori u sklopu pametnih telefona i nosive tehnologije te njihova uporaba u svakodnevnom životu
Title (english)Sensors in wearable technology and smartphones and their use in everyday life
AuthorJosipa Radak
MentorSaša Mladenović (mentor)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
Committee memberGoran Zaharija (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2022-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu upoznajemo se s pojmom senzora, povijesnim razvojem senzora te načinima podjele senzora. Nabrojane su različite vrste senzora kojima možemo zabilježiti pokret, promijene u okolini, položaj, praćenje položaja i zdravlja te su opisani senzori koje najčešće možemo pronaći u sklopu pametnih mobilnih telefona i nosivih tehnologija. Dani su neki primjeri uporabe senzora u svakodnevnom životu kao što njihova primjena u obrazovanju, praćenju zdravlja te snalaženju u prostoru. Na kraju je detaljnije opisan rad s elektroencefalografom, faze razvoja sučelja mozak-računalo koje su prikazane kroz razvoj konkretne aplikacije koja služi za prikaz vrijednosti moždanih valova u stvarnom vremenu, kao i razinu pažnje i meditacije, prikupljanje podataka za treniranje modela te predviđanja sviđanja i nesviđanja pomoću K-Najbližih Susjeda na skupu podataka prikupljenih od pojedinačnog ispitanika ili na skupu podataka dobivenih od svih ispitanika. Aplikacija je realizirana pomoću Python programskog jezika.
Abstract (english)
In this paper, we get acquainted with the concept of sensors, the historical development of sensors and ways of dividing sensors. The various types of sensors that can be used to record movement, changes in the environment, position, position and health monitoring are listed, and the sensors that can most often be found in smart mobile phones and wearable technologies are described. Some examples of the use of sensors in everyday life are given, such as their application in education, health monitoring and navigating in space. In the end, the work with the electroencephalograph is described in more detail, the stages of development of the brain-computer interface, which are shown through the development of a specific application that serves to display the values of brain waves in real-time, as well as the level of attention and meditation, collecting data for training the model and predicting likes and dislikes using K-Nearest Neighbours on a dataset collected from a single subject or on a dataset obtained from all subjects. The application was implemented using the Python programming language.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:586295
Study programmeTitle: Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2023-02-07 13:20:44