~/talk

Eye-Trace: Segmentation of Volumetric Microscopy Images with Eyegaze

Talkat CHI 2016 · 2016-05-07..05-12· [machine-learning, computer-vision]
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System records continuous gaze-input skeleton tracing while users “fly” through 3D electron-microscopy stacks using a gamepad for pan/zoom and a chin rest for stability, with a low-cost EyeTribe/Eyes Right tracker. A 20-participant study (one discarded) traces 12 fibers at 10–40 frames/sec; tracing accuracy for large fibers stays within boundaries, for medium/small fibers error exceeds boundaries, but overall accuracy is about ≈ the fiber radius and supports speeds up to 40 sections/s. Mouse is more accurate; gaze is faster; repetition yields little improvement except modest learning on small fibers.

AI-written summary · about

  1. 0:00Introduction
  2. 2:15Manual Annotation
  3. 3:04Manual Annotation in Neuroscience
  4. 3:54Manual Annotation Function
  5. 4:17Eyegaze Interaction
  6. 5:38Open Source
  7. 6:59User Experiment
  8. 7:46Data Preparation
  9. 8:30Experiment
  10. 9:50Main Experiment
  11. 10:38Repetition Experiment
  12. 11:18Size Accuracy Experiment
  13. 12:42Repetition Experiments
  14. 12:55Task Difficulty
  15. 13:45Conclusion
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