| Website | https://ana-serrano.github.io |
| https://twitter.com/DrAnaSerrano | |
| she/her |
🌟 Our dataset contains 85 videos with ambisonic sound, gaze data from 87 participants, saliency maps, optical flow, depth estimations, and Audio Energy Maps.
🔥 But that's not all! We provide our Unity capture system, enabling the capture of new gaze data.
🌐 We just presented at #ISMAR2023 our new paper "D-SAV360: A Dataset of Gaze Scanpaths on 360º Ambisonic Videos". 🚀 We've recorded and explored 4,609 gaze trajectories in dynamic 360° videos with directional sound recordings.
🔗 Link to the paper and dataset: https://graphics.unizar.es/projects/D-SAV360/