Difference between revisions of "IS480 Team wiki: 2012T1 M.O.O.T/Technical Applications"
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==== Testers ==== | ==== Testers ==== | ||
− | We have a total of | + | We have a total of 71 testers – 31 females and 40 males. As one of our focus is to check the accuracy of our gender recognition algorithm, we will pick our testers in the following way: |
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Revision as of 13:43, 25 September 2012
User Testing 1 | User Testing 2 | Development Technologies | Hardware | Primary Research | Secondary Research |
Contents
User Testing 1
Our UT 1 took place on 24 September 2012 from 12pm to 4.30pm.
Objectives
- Test the accuracy of gender recognition in a real live setting
- Gather users’ opinions about photo taking using augmented reality
Setup
Location: The T-junction at the school’s basement is selected because it
- Emulates a real live mall setting
- Has a comparatively high human traffic so as to garner as much feedback as possible
- Has 7m * 6m (~452 sq ft) of floor space
- Has a plain wall background on one side of the booth (as Kinect sensor performs best with plain background)
- Has 1 power outlet to provide power for laptop and equipment
The setup at the T-junction will follow as stated here while the overview of setup layout will be as shown:
Scope completed
- Gender Recognition through:
1. Detection of height
2. Detection of shoulder width & center of moment - AForge learning algorithm
- Prototype of photo taking
1. Countdown timer (to signal the start of photo taking)
2. Snapping of photo
Testers
We have a total of 71 testers – 31 females and 40 males. As one of our focus is to check the accuracy of our gender recognition algorithm, we will pick our testers in the following way:
Female | Male | |
Height | below 1.6m above 1.6m, below 1.7m above 1.7m |
below 1.7m above 1.7m, below 1.8m above 1.8m |
Center of moment (COM) | We will attempt to find ≥5 pairs of females and males that have similar height and similar body proportions | Same as left side |
Standard of Procedure (SOP)
1. Let tester use AlterSense by himself/herself
2. Record down the details of each tester into [Gender Recognition Metrics]
3. Record a short video of tester using Kinect Studio
4. Let tester fill up a survey form
Results
Coming soon