HAGI: Head-Assisted Gaze Imputation for Mobile Eye Trackers
Yaw (Imputed)Figure 1: Missing data is inevitable in mobile eye trackers.HAGI is a novel multi-modal approach for gaze data imputation that exploits the close coordination between eye and head movements.Input to our method is gaze data with missing values and time-aligned head movements captured using sensors readily available in mobile eye trackers (Left).HAGI uses a novel head-conditional diffusion model to impute the missing gaze data (Right) with lower mean angular error and is more realistic than previous methods.
Institutions
- University of Stuttgart (DE)
Publication Details
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1145/3746059.3747749
- Primary Topic
- Corporate Finance and Governance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- HORIZON EUROPE Framework Programme