This project is about applying (and probably adjusting) a linear time clustering algorithm for brain fiber activity to work with saccadic trajectories. The result will be a clustering of saccades (= saccade bundle).
The algorithm will be applied to eye-tracking data recorded while viewing fine art and while driving. These bundles could give insight into the perception of art (e.g. do saccades follow composition lines) and can be used to quantify saccadic distributions and traversals towards different interesting areas for driving (e.g. control gaze towards the rear mirror). The algorithm will be included in our eye-tracking data analysis software EyeTrace.