This master's thesis deals with eye movement tracking using the Raspberry Pi platform. The theoretical part describes eye anatomy, eye detection and eyetracking. A system in Python programming language was designed in the practical part. This algorithm is able to perform the eye tracking function using the Raspberry Pi platform and the RPi Camera module. The OpenCV library is used for loading and preprocessing images from the camera. A method that detects and evaluates the direction of view after a calibration is available. The accuracy of the program is tested on three vector methods and two target methods for four screen resolutions.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:413166 |
| Date | January 2020 |
| Creators | Hunkařová, Nikol |
| Contributors | Mézl, Martin, Hesko, Branislav |
| Publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0019 seconds