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IS480 Team wiki: 2012T1 M.O.O.T/Project Management

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Post-Acceptance Project Schedule

Planned Schedule Summary

This is the latest schedule amended prior to the beginning of iteration 3. After numerous discussions, we have been informed that CMA would really like to have photo-taking feature. Our primary research of measurement collection in iteration 1 has also shown us that it is not possible to determine gender based on Waist-Hip ratio as waist is not detected by Kinect. The highlight of the schedule amendment is hence the changes of interactive features to photo taking feature and gender recognition based on 4 parameters: height, shoulder length, whether shopper is holding on to a handbag, and whether shopper is wearing long skirt. The focus will be on gender recognition based on neural network until midterm, followed by development of photo taking feature post midterm.


WithPhotoTakingScheduleSummary.png


Access previous planned schedules to view earlier planned schedules prior to firming up of client requirements and primary research on differences between male and female.

Weekly Progress

Week Date Scheduled Features Completed Features Pending Features/Remarks
1 17/08/12 – 24/08/12
  • Explore Classifier Algorithm (CA)
  • Measurement collection
  • Theoretical understanding of Neural Network (NN) and its classification feature
  • Measurement collection
N.A.
2 25/08/12 – 31/08/12
  • Analysis of measurement collection
  • Gender differences trend establishment
  • Gender recognition based on Waist-to-Hip Ratio (WHR)
  • NN classification
  • Analysis of physical measurement collection classification feature
  • Gender differences trend establishment based on physical measurement analysis & secondary research
  • Measurement of height based on image captured by Kinect
  • Found that waist cannot be detected by Kinect, hence dropping WHR
  • Difficulties encountered in implementing NN classification
3 01/09/12 – 08/09/12
  • NN classification & scoring system
  • Parameters expansion: neck & shoulder width
  • Passing of height and shoulder width captured by Kinect to NN
  • NN classification based on height and shoulder width
  • Decided to include parameters hasBag & hasSkirt instead of neck width in the upcoming week
4 09/09/12 – 16/09/12
  • Gender recognition based on complete set of inputs
  • Capturing shopper’s outline
  • Countdown timer
  • Gender recognition based on height, shoulder width, hasBag & hasSkirt
  • Countdown timer
  • Refining of shopper's outline
  • hasSkirt, hasBag parameters to be improved and integrated with passing in of parameters through Kinect
5 17/09/12 – 23/09/12
  • Capturing of photo
  • Backward propagation
  • Saving learning state
  • Integration of photo taking with gender recognition

Pre-Acceptance

MOOTschedule.jpg