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undergraduate thesis
ANALIZA EEG SIGNALA KOD ZAMIŠLJANJA MOTORIČKE AKTIVNOSTI
2016. urn:nbn:hr:190:457915
Terlević, Siniša
University of Rijeka
Faculty of Engineering

Cite this document

Terlević, S. (2016). ANALIZA EEG SIGNALA KOD ZAMIŠLJANJA MOTORIČKE AKTIVNOSTI (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:457915

Terlević, Siniša. "ANALIZA EEG SIGNALA KOD ZAMIŠLJANJA MOTORIČKE AKTIVNOSTI." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2016. https://urn.nsk.hr/urn:nbn:hr:190:457915

Terlević, Siniša. "ANALIZA EEG SIGNALA KOD ZAMIŠLJANJA MOTORIČKE AKTIVNOSTI." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2016. https://urn.nsk.hr/urn:nbn:hr:190:457915

Terlević, S. (2016). 'ANALIZA EEG SIGNALA KOD ZAMIŠLJANJA MOTORIČKE AKTIVNOSTI', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 25 April 2024, https://urn.nsk.hr/urn:nbn:hr:190:457915

Terlević S. ANALIZA EEG SIGNALA KOD ZAMIŠLJANJA MOTORIČKE AKTIVNOSTI [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2016 [cited 2024 April 25] Available at: https://urn.nsk.hr/urn:nbn:hr:190:457915

S. Terlević, "ANALIZA EEG SIGNALA KOD ZAMIŠLJANJA MOTORIČKE AKTIVNOSTI", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:190:457915

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Metadata
TitleANALIZA EEG SIGNALA KOD ZAMIŠLJANJA MOTORIČKE AKTIVNOSTI
AuthorSiniša Terlević
MentorSaša Vlahinić (mentor)
Committee memberMiroslav Joler (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2016-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Razvojem modernih informatičkih tehnologija i uređaja dolazimo u mogućnost korištenja različitih signala iz našeg mozga. Uz pomoć razvojne okoline Open ViBE i uređaja EMOTIV Epoc u mogućnosti smo snimati pojedina područja mozga. Te se snimljeni EEG signali mogu interpretirati pomoću raznih računalnih program i proslijediti na BCI. BCI ili sučelje između mozga i računala nam omogućuje da uspostavimo dvostranu komunikaciju između mozga i računala sa odgovarajućim programima. U budućnosti bi primjena ovakvih tehnologija trebala pomoći ljudima sa posebnim potrebama kako bi im se omogućila što veća uključenost u svijetu, te olakšao život. U ovom radu se koristila razvojna okolina OpenVibe sa pripadajućim scenarijima i EMOTIV Epoc uređaj sa svojom programskom podrškom. Uz pomoć gore navedenih alata mjerila se moždana aktivnost točnije signali prilikom zamišljanja motoričke aktivnosti.
Abstract (english)
With the development of modern information technologies the devices have the possibility of using different signals from our brain. Using the help of the development environment Open ViBE and device Emotiv Epoc we are able to capture specific areas of the brain. These recorded EEG signals can be interpreted by various computer programs and forwarded to BCI. BCI or interface between the brain and the computer allows us to establish two-way communication between the brain and a computer with appropriate programs. In the future the application of such technology should help people with special needs in order to allow you greater involvement in the world, and make life easier. In this paper development environment of OpenVibe was used with its scenarios and Emotiv Epoc device with its software. With the help of the tools listed above the brain activity was recorded more accurately the signals when imagining motor activity.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:457915
Study programmeTitle: Computer Engineering
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
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2016-10-04 11:16:55