prikaz prve stranice dokumenta Analiza rada EEG senzorske kacige Emotive snimanjem emocionalnih stanja
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undergraduate thesis
Analiza rada EEG senzorske kacige Emotive snimanjem emocionalnih stanja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:489043
Polić, Marsela
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Polić, M. (2014). Analiza rada EEG senzorske kacige Emotive snimanjem emocionalnih stanja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:489043

Polić, Marsela. "Analiza rada EEG senzorske kacige Emotive snimanjem emocionalnih stanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:489043

Polić, Marsela. "Analiza rada EEG senzorske kacige Emotive snimanjem emocionalnih stanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:489043

Polić, M. (2014). 'Analiza rada EEG senzorske kacige Emotive snimanjem emocionalnih stanja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:489043

Polić M. Analiza rada EEG senzorske kacige Emotive snimanjem emocionalnih stanja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:489043

M. Polić, "Analiza rada EEG senzorske kacige Emotive snimanjem emocionalnih stanja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:489043

Metadata
TitleAnaliza rada EEG senzorske kacige Emotive snimanjem emocionalnih stanja
Title (english)Analysis of emotional status by using EEG helmet Emotive
AuthorMarsela Polić
MentorStjepan Bogdan (mentor)
Committee memberStjepan Bogdan (predsjednik povjerenstva)
Committee memberDamjan Miklić (član povjerenstva)
Committee memberMatko Orsag (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Cilj ovog rada je ispitivanje rada programskog sučelja za rad s EEG senzorskom kacigom tvrtke Emotiv. Proveden je niz eksperimenata za provjeru točnosti ugrađenih funkcija za prepoznavanje mimike lica, određenih emocionalnih stanja i kognitivnih akcija. Budući da sučelje detektira akcije na principu usporedbe s ugrađenim te s individualno kalibriranim podacima za pojedinu akciju, uspoređeni su rezultati dobiveni na različite načine. Različita emocionalna stanja pobuđena su vizualnim podražajima i sudjelovanjem u kompjuterskoj igri. Statističkom obradom utvrđeno je da korištenje Emotiv programskog sučelja pri prepoznavanju emocionalnih stanja nije dovoljno pouzdano za upotrebu pri izvršavanju aktivnosti u kojima je bitno operaterovo trenutno emocionalno stanje. Također je ostvarena mogućnost dobivanja neobrađenih podataka izravno sa senzora kacige, kako bi se isti mogli obraditi preciznijim funkcijama.
Abstract (english)
The goal was to determine accuracy of Emotiv software for EEG headset. A series of experiments tested built-in functions for recognition of mimics, certain emotional states and cognitive actions. A comparison was made between results gathered using built-in universal patterns and individually calibrated ones, upon which detection through signals comparison is based. Different emotional states were excited with visual stimuli as well as by playing a computer game. Statistical analysis showed that Emotiv software detections are not reliable enough to be used in activities that depend on operator's emotional state. It is also possible to obtain raw data directly from the sensors, which can further be analysed with more accurate user-defined functions.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:489043
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-05 17:50:32