- Grading Scheme
- Papers (readings from select conferences/journals)
- Talks (presentations from select conferences)
NN/g's Eyetracking Methodology (free 159-page report, check it out)
- Helpful Links:
- R Project for Statistical Computing
(thanks to Philip Hatfield for finding these)
LC Tech's (real-time) fixation analysis code
- Mike Ashmore's C++ interface
meant for usage in an eye tracking program, e.g.,
// as data member of some object, in own interface header
// initialize with deviation threshold (pixels), gazepoint samples
// usage, e.g., when obtaining new (gazeX,gazeY) data point
eyeMotionState = m_filter.detectFixation(valid,gazeX,gazeY);
// label gazepoint as fixation
// label gazepoint as saccade
// can obtain/calculate fixation attributes such as centroid, radius
- Notes on reading papers:
- Everyone must read the assigned papers before class time.
- A discussion leader will be assigned for each paper.
For their assigned paper, this person should:
- prepare a summary of salient points found in the paper
- open the discussion on these points
- if no one responds, provide opinions on these points
- compare/contrast this paper to other similar papers
- Discussion of papers counts as your "participation" score
in class and could make the difference in final letter
- Pay attention to:
- Experimental Methodology
- experimental design
- Keep in mind:
- Who are the significant contributors to research?
- Where are they located?
- What have they contributed, why is it important?