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EEG roža - fiziološko vodeni elektromehanski sistem
ID Zindović, David (Author), ID Geršak, Gregor (Mentor) More about this mentor... This link opens in a new window

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Abstract
V diplomskem delu pišem o izdelavi mehanizma, ki s pomočjo enega motorja omogoči sekvenčno rotacijo elementov, pri čemer je celoten mehanizem zasnovan tako, da spominja na rožo. Ključni sestavni deli izdelka so zobniki, ki omogočajo sočasno odpiranje rože (rotacijo sestavnih delov v obliki cvetov rože), medtem ko zamaknjeni delni zobniki omogočajo zaporedno rotacijo posameznih skupin cvetov. V svojem zaključnem delu prav tako opišem postopek načrtovanja in izdelave mehanizma ter možne izboljšave. Celoten mehanizem je krmiljen v odvisnosti od meritev komercialnega EEG merilnika, natančneje v odvisnosti od stopnje umirjenosti uporabnika. Bolj kot je uporabnik umirjen, bolj se mehanska roža razcveti. Zaradi nedostopnosti Bluetooth modulov, ki jih priporoča proizvajalec, predstavlja sinhronizacija komunikacije med EEG merilnikom in mikrokrmilnikom oviro, rešitev katere opišem v programskem delu mojega zaključnega dela, kjer opišem med drugim tudi krmiljenje koračnega motorja s pomočjo gonilnika. Za enostavnejšo uporabniško izkušnjo sem izdelal fizični uporabniški vmesnik, na katerem lahko uporabnik izbira med tremi možnostmi. Te so: neodvisno odpiranje in zapiranje mehanizma, beleženje meritev na računalniku ter odpiranje rože v odvisnosti od izmerjene stopnje umirjenosti. Poslednji dve možnosti je možno zagnati sočasno. Uporabniški vmesnik ima vgrajene tudi varnostne funkcije, ki omogočajo varno poseganje v obratovalno območje naprave za prekinitev obratovanja ali pa spremembo načina obratovanja s pomočjo tipke za potrditev,senzorja prisotnosti magneta vmesnika in časovne zakasnitve.

Language:Slovenian
Keywords:elektroencefalogram, elektromehanska roža, EEG, zobniki, Bluetooth
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FE - Faculty of Electrical Engineering
Year:2024
PID:20.500.12556/RUL-159445 This link opens in a new window
COBISS.SI-ID:201470979 This link opens in a new window
Publication date in RUL:10.07.2024
Views:97
Downloads:33
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Secondary language

Language:English
Title:EEG flower - physiologically controlled electromechanical system
Abstract:
In my thesis, I write about the construction of a mechanism that, with the help of a single motor, enables sequential rotation of elements, whereby the entire mechanism is designed to resemble a flower. The key components of the product are gears, which enable simultaneous opening of the flower (rotation of components in the shape of flower petals), while rotated partial gears enable sequential rotation of individual groups of petals. In my concluding part, I also describe the process of designing and manufacturing the mechanism, as well as possible improvements. The entire mechanism is controlled depending on the measurements of the commercial EEG measuring device, more precisely depending on the degree of calmness of the user. The more calm the user is, the more the mechanical flower blooms. Due to the unavailability of Bluetooth modules recommended by the manufacturer, the synchronization of communication between the EEG measuring device and the microcontroller is an obstacle, the solution of which I describe in the software part of my final thesis, where I describe, among other things, the control of the stepper motor with the help of a driver. For a simpler user experience, I created a physical user interface on which the user can choose between three options. These are: opening and closing the mechanism independently, recording measurements on a computer and opening the flower depending on the measured degree of calmness. The last two options can be run simultaneously. The user interface also has built-in safety functions that allow safe intervention in the operating area of the device to interrupt operation or change the mode of operation by means of a confirmation key, sensor for the presence of an interface magnet and time delay.

Keywords:electroencephalogram, electromechanical flower, EEG, gears, Bluetooth

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