Exploiting EEG Signals for Eye Motion Tracking

Autor: S. P. Radchenko, Oleksandr Sudakov, A. V. Netreba, Peter Langendörfer, R. Natarov, R. Kovtun, Zoya Dyka, Ievgen Kabin
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Signal Processing (eess.SP)
FOS: Computer and information sciences
Computer science
Computer Science - Human-Computer Interaction
02 engineering and technology
Electroencephalography
Tracking (particle physics)
Human-Computer Interaction (cs.HC)
Match moving
0202 electrical engineering
electronic engineering
information engineering

medicine
FOS: Electrical engineering
electronic engineering
information engineering

0501 psychology and cognitive sciences
Computer vision
Electrical Engineering and Systems Science - Signal Processing
medicine.diagnostic_test
business.industry
05 social sciences
Gaze
Cognitive test
medicine.anatomical_structure
Experimental system
Eye tracking
020201 artificial intelligence & image processing
Human eye
Artificial intelligence
business
050104 developmental & child psychology
Zdroj: EWDTS
Popis: Human eye tracking devices can help to investigate principles of processing visual information by humans. The attention focus movement during the gaze can be used for behavioural analysis of humans. In this work we describe our experimental system that we designed for synchronous recording of electroencephalographic signals, events of external tests and gaze direction. As external tests we used virtual cognitive tests. We investigated the possibility to exploit electroencephalographic signals for eye motion tracking. Our experimental system is a first step for the designing an automatic eye tracking system and can additionally be used as a laboratory equipment for teaching students.
5 pages
Databáze: OpenAIRE