Automatic mapping of gaze position coordinates of eye-tracking glasses video on a common static reference image
Adam Bykowski, Szymon Kupiński · Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications · 2018
This paper describes a method for automatic semantic gaze mapping from video obtained by eye-tracking glasses to a common reference image. Image feature detection and description algorithms are utilized to find the position of subsequent video frames and map corresponding gaze coordinates on a common reference image. This process allows aggregate experiment results for further experiment analysis and provides an alternative for manual semantic gaze mapping methods.