The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video

no code implementations • 15 Feb 2024 • Michelle R. Greene, Benjamin J. Balas, Mark D. Lescroart, Paul R. MacNeilage, Jennifer A. Hart, Kamran Binaee, Peter A. Hausamann, Ronald Mezile, Bharath Shankar, Christian B. Sinnott, Kaylie Capurro, Savannah Halow, Hunter Howe, Mariam Josyula, Annie Li, Abraham Mieses, Amina Mohamed, Ilya Nudnou, Ezra Parkhill, Peter Riley, Brett Schmidt, Matthew W. Shinkle, Wentao Si, Brian Szekely, Joaquin M. Torres, Eliana Weissmann

We introduce the Visual Experience Dataset (VEDB), a compilation of over 240 hours of egocentric video combined with gaze- and head-tracking data that offers an unprecedented view of the visual world as experienced by human observers.

Activity Recognition

NFL Career Success as Predicted by NFL Scouting Combine

1 code implementation • 10 Mar 2023 • Brian Szekely, Christian Sinnott, Savannah Halow, Gregory Ryan

Using machine and statistical learning, it may be possible to predict future success of prospective athletes, as well as predict which Scouting Combine tests are the most important.