prikaz prve stranice dokumenta Sustav praćenja pokreta oka
  Download
PDF 3.07 MB
undergraduate thesis
Sustav praćenja pokreta oka
2022. urn:nbn:hr:200:301240
Varoščić, David
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

Cite this document

Varoščić, D. (2022). Sustav praćenja pokreta oka (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:301240

Varoščić, David. "Sustav praćenja pokreta oka." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:301240

Varoščić, David. "Sustav praćenja pokreta oka." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:301240

Varoščić, D. (2022). 'Sustav praćenja pokreta oka', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 27 September 2023, https://urn.nsk.hr/urn:nbn:hr:200:301240

Varoščić D. Sustav praćenja pokreta oka [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2023 September 27] Available at: https://urn.nsk.hr/urn:nbn:hr:200:301240

D. Varoščić, "Sustav praćenja pokreta oka", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:301240

Please login to the repository to save this object to your list.
Metadata
TitleSustav praćenja pokreta oka
Title (english)An eye-tracking system
AuthorDavid Varoščić
MentorTomislav Keser (mentor)
Committee memberTomislav Keser (predsjednik povjerenstva)
Committee memberTomislav Matić (član povjerenstva)
Committee memberIvan Aleksi (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Computer Engineering)
Osijek
Defense date and country2022-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
U okviru teme završnog rada je napravljen program koji prati kretanje očiju, te vrši detekciju treptanja koju povezuje s klikom miša. Za snimanje koristimo kameru laptopa. Bazira se na istreniranom Dlib modelu koji vrši detekciju i praćenje lica pomoću 68 točaka. Odvojili smo područje očiju od ostatka, jer samo s njima radimo. Primjenjivali smo metode obrade slike da bi mogli izdvojiti šarenicu od ostatka oka, radi primjene detektora. Korišten je Blob algoritam za detekciju i praćenje šarenice oka. Uz to također pratimo da li osoba gleda lijevo ili desno. Detekciju treptanja smo realizirali pomoću mjerenja omjera visine i širine točaka oko očiju. Kada se uvjeti koji opisuju treptaj ispune, program registrira treptaj. Provjeravamo koordinate miša, u slučaju da se miš nalazi na području postavljenog kvadrata kad osoba trepne, detektira se klik miša i kvadrat mijenja boju. Prozor koji prikazuje snimani sadržaj kamere, također prikazuje tekstualne i brojčane elemente koji bilježe događaje.
Abstract (english)
The focus of this final paper is a program that was created to monitor the movement of eyes and to detect blinking, which it connects to a mouse click. We use a laptop camera for recording. The project is based on a trained Dlib model that performs face detection and tracking using it's 68 landmarks feature. The eye area is separated from the rest, because we only need to work with the eyes. We applied image processing methods to be able to separate the iris from the rest of the eye, in order to apply the planned detector. The Blob algorithm was used to detect and track the iris. In addition, we also monitor whether the person is looking left or right. Blink detection was realised by measuring the ratio of the height and width of the points around the eyes. When the conditions describing the blink are met, the program registers the blink. The coordinates of the mouse are being checked, in case the mouse is in the area of the set square when the person blinks, the mouse click is detected and the square changes color. The window that displays the recorded content also has text and number elements that record events.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:301240
Study programmeTitle: Professional study programme of Electrical Engineering; specializations in: Power Engineering, Automation, Informatics
Course: Automation
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-10-18 12:08:06