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Web camera based Eye tracking and Head tracking ADE

Web camera based Eye tracking and Head tracking ADE. CMPT480 Term Project Yichen Dang Nov 28,2012. Why my ADE is important. For me: Introduce a technology for painting without hands requirement Deeper understanding of eye tracking and head tracking fields

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Web camera based Eye tracking and Head tracking ADE

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  1. Web camera based Eye tracking and Head tracking ADE CMPT480 Term Project Yichen Dang Nov 28,2012

  2. Why my ADE is important • For me: • Introduce a technology for painting without hands requirement • Deeper understanding of eye tracking and head tracking fields • For the field of accessibility: • Help with people who has difficulties in moving hands • Introduce technologies that are cheap and require least accommodation from users

  3. Background • In 1800s, initial methods for tracking the location of eye and head involving direct mechanical contact with the head or eyes. • In the 1940s, Shackel and Mackworthdeveloped the concept of head-mounted eye tracking systems. • In the 1970s, Monty discovered that multiple reflections from the eye can be used to dissociate eye rotations frees eye tracking from head movement

  4. Background • In recent years, infrared or near infrared camera based systems to detect eye movements are introduced. • Lately, more advanced software to perform eye-tracking and head-tracking control have been introduced, which only require a web camera and can work under normal lighting rather than infrared lighting environment

  5. Project Milestones - Design • Read more materials about eye tracking and head tracking technology • Go over existing user lab ADEs, and create a structure for my ADE • Introduction • Video • What to Do • What to Hand In

  6. Project Milestones - Construct • Create introduction section of my ADE • Search good ADE videos • Search good software • Create instruction on software download, installation, and configuration • Developing activities in my ADE • Create questions

  7. Project Milestones – User testing • Find users to test ADE • Conduct user testing • Analyse users’ feedback • Improve my ADE based on users’ feedback • Problems • Finding a user with disability in hands movement to test my ADE • Creating a web page

  8. Result • A Web camera based Eye tracking and Head tracking ADE • http://homepage.usask.ca/~yid484/WebCameraBasedEyeTrackingAndHeadTrackingADE.html

  9. Head Tracking Software Demo • In- class Demo

  10. Evaluation Goal • Test whether my ADE is informative • Test whether the eye tracking and head-tracking software is effective • Test whether the eye tracking and head-tracking software is easy to use • Test whether the eye tracking and head-tracking software is efficient

  11. Evaluation • Evaluation process: • Pre Session questions • Task Session • Post Session questions • 5 Participants with different characteristics

  12. Result and Analysis Descriptive data • Before experience ADE, most of my participants think the eye-tracking and head-tracking require using special functional devices • For question that to describe situations where eye-tracking and head-tracking are useful, after experience my ADE, all participants mentions some or all tasks that they have preformed in my ADE. • Two participants suggest more videos should be included in my ADE. • One participant suggest more history information should be included in my ADE.

  13. Result and Analysis Quantitate Data • The average rate of uses’ expectation has been met by my ADE is 6.2/7 • The average rate of ease of use for head-tracking software is 6.2/7 • The average rate of ease of use for eye-tracking software is 4.4/7 • The average rate for head-tracking video is 6 • The average rate for eye-tracking video is 6.4

  14. Result and Analysis Quantitate Data • The average number of head-tracking related questions that are answered correctly is 90% • The average number of eye-tracking related questions that are answered correctly is 65% • The average time spent on performing head-tracking related tasks is 4.8minutes. • The average time spent on performing eye-tracking related tasks is 4.4 minutes.

  15. Improvements • Provide a more detailed instruction for eye-tracking related task, especially for the calibration part. • In introduction section of my ADE, mentions that eye tracking and head tracking helps with people who have difficulties in moving hands or fingers, interact with computers. • Add an Additional Information and videos section in my ADE to provide optional history information and more videos

  16. Conclusion and Recommendations • Good enough to be used • Further improvement • Further use

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