tablet-based gaze tracker p13541

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By: Matt Kelly (CE), Michael Krenzer (EE), Hemsley Pichardo (EE), Tina Podrasky (ISE), Brad Wideman (CE). Tablet-Based Gaze Tracker P13541. Agenda. Project Description Project Goal Customer Needs Project Specifications Final Design Bill of Material Design Summary - PowerPoint PPT Presentation

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TABLET-BASED GAZE TRACKER

P13541

By: Matt Kelly (CE), Michael Krenzer (EE), Hemsley Pichardo (EE), Tina Podrasky (ISE), Brad Wideman(CE)

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

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 simultaneouslyOne facing the userOne facing the area of interest

Customer Needs

Project Specifications

Final Design

Bill Of Material

Design Summary

Mount Design Summary Mount Design

Used ABS Plastic for CasingUsed Aluminum for mountUsed GoPro parts for clip

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

IR Testing

Focus Testing

Camera Testing

Accuracy Test

Usability Testing o 15 SUBJECTS RUN FOUR RANDOMIZED CALIBRATION

ROUTINE o THE SUBJECT FOLLOW A SINGLE DOT TO FIVE DIFFERENT

LOCATIONS ON THE SCREENo TWO DIFFERENT CALIBRATION VARIABLES - FAST OR

SLOW AND WITH OR WITHOUT DIRECTION o FAST WITH DIRECTION WAS DETERMINED TO BE THE

MOST ACCURATE ROUTINE

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

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

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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