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IS480 Team wiki: 2012T1 M.O.O.T/Technical Applications

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Revision as of 13:43, 25 September 2012 by Clarissa.lo.2010 (talk | contribs)
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Team/Project Partners

Project Overview

Project Management

Design Specifications

Technical Applications


User Testing 1 User Testing 2 Development Technologies Hardware

Project Management & Documentation

Primary Research Secondary Research

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:

MOOTsetup overview.png

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