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master's thesis
Model uvježbavanja robota temeljen na moždanim valovima
2016. urn:nbn:hr:166:546580
Anđelić, Ivan
University of Split
University of Split, Faculty of science
Department of Informatics

Cite this document

Anđelić, I. (2016). Model uvježbavanja robota temeljen na moždanim valovima (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:546580

Anđelić, Ivan. "Model uvježbavanja robota temeljen na moždanim valovima." Master's thesis, University of Split, University of Split, Faculty of science, 2016. https://urn.nsk.hr/urn:nbn:hr:166:546580

Anđelić, Ivan. "Model uvježbavanja robota temeljen na moždanim valovima." Master's thesis, University of Split, University of Split, Faculty of science, 2016. https://urn.nsk.hr/urn:nbn:hr:166:546580

Anđelić, I. (2016). 'Model uvježbavanja robota temeljen na moždanim valovima', Master's thesis, University of Split, University of Split, Faculty of science, accessed 29 May 2022, https://urn.nsk.hr/urn:nbn:hr:166:546580

Anđelić I. Model uvježbavanja robota temeljen na moždanim valovima [Master's thesis]. Split: University of Split, University of Split, Faculty of science; 2016 [cited 2022 May 29] Available at: https://urn.nsk.hr/urn:nbn:hr:166:546580

I. Anđelić, "Model uvježbavanja robota temeljen na moždanim valovima", Master's thesis, University of Split, University of Split, Faculty of science, Split, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:166:546580

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Metadata
TitleModel uvježbavanja robota temeljen na moždanim valovima
Title (english)A robot training model based on mind-waves
AuthorIvan Anđelić
MentorSaša Mladenović (mentor)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberGoran Zaharija (član povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
GranterUniversity of Split
University of Split, Faculty of science
(Department of Informatics)
Split
Defense date and country2016-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Otkrićem EEG valova početkom dvadesetog stoljeća javlja se ideja korištenja moždanih valova za izravnu komunikaciju s okolinom. U ovom radu se demonstrira korištenje moždanih valova za kontrolu jednostavnog lego robota. Za čitanje EEG valova se koriste MindWave slušalice, koje su bežične i jednostavne za upotrebu. Da bi se očitani podaci mogli koristiti za upravljanje robotom s njima treniramo neuronsku mrežu. Izrađena aplikacija omogućuje svim korisnicima definiranje i treniranje personalzirane neuronske mreže, čime se osigurava prilagodljivost sustava svakom pojedinom korisniku. Nakon treniranja mreže korisniku se prikaže graf sa minimalnom pogreškom tokom treninga i omogućeno mu je testiranje mreže, da vidi koliko uspješno je istrenirana. Nakon toga može korištenjem istrenirane neuronske mreže i MindWave slušalica kontrolirati robota.
Abstract (english)
Discovery of EEG brain waves in early 20th century lead to the idea of using EEG for direct communication with the environment. This work demonstrates use of mind waves for control of Lego robot. Tool for reading EEG waves are MindWave wireless headphones. Neural networks are used to translate collected data into action for the robot. Application made for the experiment allows each user to define and train personalized neural network. After training, it displays minimum error graph, calculated during training, to the user. Then user can test the trained network, to see how successful was the training. Then the network can be used with MindWave headphones to control the Lego robot.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:546580
Study programmeTitle: Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2017-07-10 14:17:39