Title
Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement Data
Abstract
Eye movement data analysis plays an important role in examining human cognitive processes and perceptions. Such analysis at times needs data recording from additional sources too during experiments. In this paper, we study a pair programming based collaboration using two eye trackers, stimulus recording, and an external camera recording. To analyze the collected data, we introduce the EyeSAC system that synchronizes the data from different sources and that removes the noisy and missing gazes from eye tracking data with the help of visual feedback from the external recording. The synchronized and cleaned data is further annotated using our system and then exported for further analysis.
Year
DOI
Venue
2020
10.1145/3379157.3391988
ETRA '20: 2020 Symposium on Eye Tracking Research and Applications Stuttgart Germany June, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-7135-3
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Ayush Kumar100.34
Debesh Mohanty200.34
Kuno Kurzhals322720.63
Fabian Beck459143.93
Daniel Weiskopf52988204.30
Klaus Mueller61810145.49