Currently Deployed at: http://scribblers.herokuapp.com/

This project utilizes the HTML5 getUserMedia API to manipulate the Canvas.

• Currently the project is scoped to a single player game that will draw finger motion on a white board.
  • Version 0.6
• There will potentially be a lobbying system that will delegate multi-player games in the next version.
  • Version 0.8
• The game might get more complex [i.e. follow the leader or draw a specific image]
  • Version 1.0

####Seung Lim - seung

• Worked on Algorithm for tracking pixel values on the screen & wrote tests using the Jasmine Framework

####Chad Reed - chadreed-intl

• Worked on optimizing the tracking Algorithm with Seung and focused on the speed & usability of draw

####Tyson Daughtery - gigmania

• Worked on intial wireframing/big picture & UI

####Anthony Singhavong - bigthyme

• Worked on the server, the Google Speech to Text API, and the final UI

####Philip Rosen - philipjrosen

• Worked with the html5 canvas API and wrote code to integrate some of the UI features with the canvas functionality

0.6.0 - Updating master README.md and prepping for soft release

######getUserMedia API demos:

1. https://github.com/tjerkw/js-cam-motion

2. https://github.com/ReallyGood/js-motion-detection

3. https://github.com/auduno/headtrackr/

   • http://dev.opera.com/articles/view/head-tracking-with-webrtc/

4. http://40win.com/blog/2012/11/14/web-gestures-with-getusermedia-part1/

######Algorithm demos:

1. http://mkweb.bcgsc.ca/color_summarizer/?

2. https://github.com/Huddle/Resemble.js

3. http://en.wikipedia.org/wiki/Feature_detection_(computer_vision)#Feature_detectors

4. https://github.com/mtschirs/js-objectdetect?source=cr

5. https://code.google.com/p/js-aruco/

This game uses a number of open source projects to work properly:

• Twitter Bootstrap - Great UI boilerplate for modern web apps
• node.js - Evented I/O for the backend
• Express - Fast node.js network app framework [@tjholowaychuk]
• jQuery - Dom manipulation
• Google Web Speech - Unreleased Speech to text api that is native to modern browsers

MIT