Focus on Area Tracking Based on Deep Learning for Multiple Users
Most eye-tracking experiments are limited to single subjects because gaze points are difficult to track when multiple users are involved and environmental factors might cause interference. To overcome this problem, this paper proposes a method for gaze tracking that can be applied for multiple users...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8918265/ |