3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network
Author:
Affiliation:
1. University of Zurich and ETH Zurich,Institute of Neuroinformatics,Switzerland
2. Delft University of Technology,Department of Microelectronics,Netherlands
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10388488/10388438/10389062.pdf?arnumber=10389062
Reference20 articles.
1. Leveling the Playing Field: A Comparative Reevaluation of Unmodified Eye Tracking as an Input and Interaction Modality for VR
2. TEyeD: Over 20 Million Real-World Eye Images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types
3. Eye Movements in Parkinson’s Disease and Inherited Parkinsonian Syndromes
4. A dataset of eye movements for the children with autism spectrum disorder
5. Event-Based Near-Eye Gaze Tracking Beyond 10,000 Hz
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