Not to mention, our tools and visualizations are finally reaching an audience with interests in film, photography, and cognition. If you haven’t yet seen some of our videos, please head on over to our vimeo page, where you can see a range of videos embedded with eye-tracking of participants and many different visualizations of models of eye-movements using machine learning, or start by reading Tim’s post on … Continue reading...

The post Tim J Smith guest blogs for David Bordwell first appeared on http://archive.pkmital.com.

We are in the process of making all of our data freely available for research use. As well, we have also worked on tools for analyzing eye-movements during such dynamic scenes.

CARPE, or more bombastically known as Computational Algorithmic Representation and Processing of Eye-movements, allows one to begin visualizing eye-movement data together with the video data it was tracked with in a number of ways. It currently supports low-level feature visualizations, clustering of eye-movements, model selection, heat-map visualizations, blending, contour visualizations, peek-through visualizations, movie output, binocular data input, and more. The videos shown above on our Vimeo page were all created using this tool. Head over to Google code to check out the source code or download the binary. We are still in the process of stream-lining this process by creating manuals for new users and uploading more of the eye-tracking and video data so … Continue reading...

The post Dynamic Scene Perception Eye-Movement Data Videos and Analysis first appeared on http://archive.pkmital.com.