Primjena mozgom upravljane tehnologije pri izvođenju tjelesnih pokreta

master's thesis

• Title (english): Application of brain controlled technology in performing body movements
• Author: Filip Žabić
• Mentor: Zoran Kunica (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2022-12-15, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering; Production Mechanical Engineering

Abstract

U novije vrijeme sučelja čovjeka i stroja postaju sve kompleksnija. Središte ljudske aktivnosti oduvijek je bilo sadržano u pokretu i aktivnostima vezanim uz pokret. Kako snaga modernih računala raste zajedno s razumijevanjem ljudskog mozga sve je bliža stvarnost u kojoj je moguće direktno upravljati računalom pomoću mozga. Sučelja mozak-računalo prikupljaju moždane signale, analiziraju ih i prevode u naredbe koje se prenose na izlazne uređaje koji izvršavaju željene radnje. EMOTIV EPOC+ je uređaj koji omogućuje izravnu kontrolu računala pomoću mozga. U sklopu rada provedeni su pokusi kojima se nastojala istražiti praktična upotreba takve tehnologije. Rezultati pokusa pokazali su da uređaj daje dobre i očekivane rezultate prilikom izvođenja radnji koje uključuju pokret te da uređaj ima potencijal za primjenu u mnogim granama industrije.

Abstract (english)

In recent times, human-machine interfaces are becoming more and more complex. The center of human activity has always been contained in movement and activities related to movement. As the power of modern computers grows along with the understanding of the human brain, the reality of being able to directly control the computer using the brain is getting closer. Brain-computer interfaces collect brain signals, analyze them and translate them into commands that are transmitted to output devices that perform the desired actions. EMOTIV EPOC+ is a device that enables direct control of a computer using the brain. As part of the work, experiments were conducted to investigate the practical use of such technology. The results of the experiments showed that the device gives good and expected results when performing actions that involve movement, and that the device has the potential for application in many branches of industry.

• Keywords: pokret; mozak; sučelje; EMOTIV; Python
• Keywords (english): movement; brain; interface; EMOTIV; Python
• Language: croatian
• URN:NBN: urn:nbn:hr:235:840676
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-12-01 13:28:11