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CMPT480 Term Project Yichen Dang Nov 28,2012.   For me:  Introduce a technology for painting without hands requirement  Deeper understanding of eye.

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Presentation on theme: "CMPT480 Term Project Yichen Dang Nov 28,2012.   For me:  Introduce a technology for painting without hands requirement  Deeper understanding of eye."— Presentation transcript:

1 CMPT480 Term Project Yichen Dang Nov 28,2012

2   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 Why my ADE is important

3   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 Mackworth developed 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 Background

4   In recent years, infrared or near infrared camera based systems to detect eye movements are introduced. web camera work under normal lighting  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 Background

5   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 Project Milestones - Design

6   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 Project Milestones - Construct

7   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 Project Milestones – User testing

8   A Web camera based Eye tracking and Head tracking ADE  http://homepage.usask.ca/~yid484/WebCameraBase dEyeTrackingAndHeadTrackingADE.html http://homepage.usask.ca/~yid484/WebCameraBase dEyeTrackingAndHeadTrackingADE.htmlResult

9   In- class Demo Head Tracking Software Demo

10   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 Evaluation Goal

11   Evaluation process:  Pre Session questions  Task Session  Post Session questions  5 Participants with different characteristics Evaluation

12   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. Result and Analysis Descriptive data

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

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

15   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 Improvements

16   Good enough to be used  Further improvement  Further use Conclusion and Recommendations


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