RGBDGaze: Gaze Tracking on Smartphones with RGB and Depth Data

Author:

Arakawa Riku1ORCID,Goel Mayank2ORCID,Harrison Chris1ORCID,Ahuja Karan1ORCID

Affiliation:

1. Human-Computer Interaction Institute, Carnegie Mellon University, United States

2. School of Computer Science, Carnegie Mellon University, United States

Publisher

ACM

Reference55 articles.

1. Eye center localization and detection using radial mapping

2. EyeSpyVR

3. Pose-on-the-Go: Approximating User Pose with Smartphone Sensor Fusion and Inverse Kinematics

4. Convolutional Neural Network-Based Methods for Eye Gaze Estimation: A Survey

5. Apple. 2017. CoreML Framework. https://developer.apple.com/documentation/coreml Apple. 2017. CoreML Framework. https://developer.apple.com/documentation/coreml

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2. Predicting Users’ Attention Breakpoints During Mobile Text Entry;Proceedings of the 25th International Conference on Mobile Human-Computer Interaction;2023-09-26

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