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Difference between revisions of "IS480 Team wiki: 2012T1 M.O.O.T/Midterm Wiki"

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| style="background: #38ACEC;" colspan="7" | Photo taking
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| style="background: #38ACEC;" colspan="5" | Photo taking
 
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Revision as of 16:46, 27 September 2012

Project Progress Summary

Team M.O.O.T has progressed steadily since Iteration 1 -which was kick-started post Acceptance presentation; and is currently in Iteration 4, which will last up to the end of the midterm week. We also encountered a major obstacle in coming up with an alpha version of Artificial Neural Network to determine gender in Iteration 1. There was also a change in client's requirement, contributing to the delay. Confirmation of final requirement was achieved in Iteration 2, enabling team to focus and hence team managed to catch up in Iteration 2.

By midterm, team is confident of completing 70% of AlterSense features. These features include gender recognition and basic photo taking functionalities. After midterm, team will work on implementing the narrative interaction features and refining of AlterSense in general. Team is therefore confident of delivering the complete AlterSense solution by the end of week 13.

Project Highlights

  • Inclusion of machine learning
  • Internal addition of stakeholders: requirement to liase with Marcom team
  • Requirement changes:
    • AlterSense to enable photo taking
    • Gender-related content will not be limited to promotions only
    • Interaction with Techy & Marlon to be replaced with photo-taking related narrative, which translates to starting over from scratch
    • Analytics possibility provided by Microsoft Tag will be independently explored by CapitaMalls Asia
  • Took 3 weeks to set up alpha version of Neural Network instead of only 2 weeks
  • Omitted Waist-Hip-Ratio and detection of bag for gender recognition; for Kinect does not detect hip, and depth measurement to detect bag interferes with the detection of arm joint

Project Management

Project Status

S/N Feature Status Confidence Level (0-1) Comments
Photo taking
1 Detect stationary shopper
2 Display shopper’s silhouette
3 Display doors with enticing scene
4 Detect shopper's gesture (pointing)
5 Display animation of chosen door
6 Display augmented reality scenery background
7 Countdown timer
8 Detects shopper's pose
9 Take a photo
10 Display photo
Gender Recognition
11 Measure height
12 Measure shoulder & hip width
13 Detect presence of long hair
14 Detect presence of skirt
15 Detect presence of bag
16 Determine gender of shopper
Promotions, Photo Gallery & Microsoft Tag
17 Determine type of promotions to display
18 Create tag
19 Overlay of tag
20 Exit screen
21 Photo Gallery
22 Read tag
23 Update tag
24 Delete tag
25 Integrate tag with AlterSense
26 Retrieve analytics raw values from Microsoft Tag web service
27 Parse analytics values
28 Display analytics data

Project Schedule

Project Metrics

Project Risks

Technical Complexity

Quality of Product

Intermediate Deliverables

Deployment

Testing

Reflection