Face It

Anna Freud Design Sprint

Prototype developed by @daymos, @heatherlauren, @emmadeacon and @jakubsvihla

MVP developed by @daymos, @heatherlauren, @matthewiiv and @RichAWarren

Downloading the android app

Compatibility

• Android 4.4 "KitKat" and above.

navigate to this page with your mobile phone and click here

Running the app in the browser (currently working in recent versions of Firefox and Chrome)

The online version of the app is available here. Should you experience any bugs, please open an issue in the repo.

Running the app locally

from your terminal run the following:

git clone  https://github.com/CYPIAPT-LNDSE/afSimonStewart.git faceit

cd faceit

open index.html

if open index.html doesnt work just double click on index.html

Compiling the Cordova app

In the terminal in the root folder: (you must have all cordova dependancies installed globally)

cordova create cordova test.test.test

navigate to cordova/www and remove index.html then from project's root directory:

grunt

cd cordova

//with an emulator
cordova emulate android -target=android-19

//with a device attached (need debug mode on)
cordova run android -device

To create different cordova platform, that allows you to run the app on the browser or different emulated version of android do:

cd cordova

cordova add platform (here teh platform example:) browser

now you can run

cordova run browser

About

This project is a game designed for young people with ASD to practice recognising emotions. A user is shown a face and asked to identify the emotion it's displaying. Their choice is then compared to that made by the Microsoft Facial Emotion API. The game is inspired by emotion recognition games that are currently used with children with ASD in schools. However, we feel the app would be an improvement on several fronts:

• The image set can potentially be far larger, meaning users aren't simply memorising the correct answer for individual faces on repeated play.
• Data tracking would allow users to track their personal results, as well as the overall effectiveness of the game to be measured.
• By comparing the user's results to an API rather than that of an authority figure like a teacher, we hope to instil more respect for the user's choices.

Tech Stack

This is an hybrid no-backend Cordova app. The stack includes Handlebars, Bootstrap, pouchDB, couchDB, jQuery, and D3.