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Tablet-Based Gaze Tracker for Photography Education: Enhancing Mobility and Accuracy

This project presents a portable gaze-tracking system designed as a teaching tool for photography, utilizing dual cameras to capture user gaze and the area of interest. Key components include ABS plastic casing, aluminum mounts, and GoPro parts. Initial testing with 15 subjects highlighted the challenges in gaze tracking accuracy, with a preference for a faster calibration routine. Hardware is completed, but software enhancements are ongoing to improve reliability and pupil detection. Future work will focus on advancing algorithm adjustments and fostering collaboration with more engineers.

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Tablet-Based Gaze Tracker for Photography Education: Enhancing Mobility and Accuracy

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  1. By: Matt Kelly (CE), Michael Krenzer (EE), HemsleyPichardo (EE), Tina Podrasky (ISE), Brad Wideman(CE) Tablet-Based Gaze Tracker P13541

  2. Agenda • Project Description • Project Goal • Customer Needs • Project Specifications • Final Design • Bill of Material • Design Summary • System Testing Results • Current State of Project • Conclusion/ Results • Suggestions for Future Work

  3. Project Description • Gaze-Tracking used as a teaching tool for photography • Allows for the greatest level of mobility • Design a portable gaze-tracker that used two cameras simultaneously • One facing the user • One facing the area of interest

  4. Customer Needs

  5. Project Specifications

  6. Final Design

  7. Bill Of Material

  8. Design Summary

  9. Mount Design Summary • Mount Design • Used ABS Plastic for Casing • Used Aluminum for mount • Used GoPro parts for clip

  10. PCB Design Summary • Designed with PCB Express • Two Boards used with 3 LEDs each • Powered off USB • 1.1”x 1.6” each

  11. IR Testing

  12. Focus Testing

  13. Camera Testing

  14. Accuracy Test

  15. Usability Testing • 15 SUBJECTS RUN FOUR RANDOMIZED CALIBRATION ROUTINE • THE SUBJECT FOLLOW A SINGLE DOT TO FIVE DIFFERENT LOCATIONS ON THE SCREEN • TWO DIFFERENT CALIBRATION VARIABLES - FAST OR SLOW AND WITH OR WITHOUT DIRECTION • FAST WITH DIRECTION WAS DETERMINED TO BE THE MOST ACCURATE ROUTINE

  16. Current State of Project • Hardware completed • Camera filter removed and reassembled • IR LEDs and PCBs integrated • Case and Mount manufactured and assembled • Software completed • User Interface • Calibration • Debug Image • Gaze Tracking (with poor accuracy) • Software in Progress • Gaze Tracking Reliability • Pupil Detection • Eye Region Detection • Overall Program Reliability

  17. Conclusions/ Results • Many Customer needs were met, but gaze tracking should be more robust • We learned a lot • Gaze tracking is a very tough problem, especially on a tablet • Learned importance of communication

  18. Suggestions for Future Work • Further work on making our system more accurate and dynamic • Screen to adjust algorithm parameters • Open source, portable library for gaze tracking • Use more Computer Engineers for future iterations

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