Gaze Direction Classification Using Vision Transformer
Author:
Affiliation:
1. Gunma University,Faculty of Informatics,Maebashi,Japan
2. Grad. Sch. of System Design and Technology, Tokyo Denki University,Tokyo,Japan
Funder
JSPS KAKENHI
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10488102/10488155/10488308.pdf?arnumber=10488308
Reference27 articles.
1. Communication-Aid System Using Eye-Gaze and Blink Information
2. Filteryedping: Design Challenges and User Performance of Dwell-Free Eye Typing
3. The Impact of Eye-gaze Controlled Computer on Communication and Functional Independence in Children and Young People with Complex Needs – A Multicenter Intervention Study
4. A systematic review investigating outcome measures and uptake barriers when children and youth with complex disabilities use eye gaze assistive technology
5. A new method for calculating eye movement displacement from AC coupled electro-oculographic signals in head mounted eye–gaze input interfaces
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