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This Android app is based on the Remember to smile - design of a mobile affective technology to help promote individual happiness through smiling paper by George Moore, Leo Galway and Mark Donnelly, which theorizes that more frequent genuine smiling can substantially improve happiness.

License: MIT License

Kotlin 100.00%
android app smile face detection kotlin kotlin-android

sohappy's Introduction

soHappy

Motivation

This Android app is based on the Remember to smile - design of a mobile affective technology to help promote individual happiness through smiling paper by George Moore, Leo Galway and Mark Donnelly, which theorizes that more frequent genuine smiling can substantially improve happiness. With technology improving over the years, it has been made possible to measure an individual's happiness through Affective Computing, which allows a more objective evaluation than more traditional methods, such as questionnaires.

Not only is pursuing happiness deeply integrated into our roots, it has also been proven that increased happiness is associated with higher productivity, well-being and quality of life, prompting well known organizations such as the World Health Organization to support happiness as an important factor to an individual's overall health.

Build App

  1. Make sure you have the Android SDK installed.

  2. Make sure which CPU architecture your device is based on.

  3. Clone the repository to your computer using git clone https://github.com/teamulster/soHappy.git.

  4. Build the app using ./gradlew assembleDebug.

Installation

  1. Make sure you have ADB installed. If not, check out Android Dev ADB.

  2. Connect your mobile device via ADB and install the APK using adb install <apk name>.

Docs

For further information, check out the app's report.

Known issues

  1. If the app's config has not been updated and you are trying to scan a new QR code, it might crash. This depends on whether or not new config entries have been added in the meantime.

sohappy's People

Contributors

annagsell avatar craftamap avatar diehmlukas avatar limkokyew avatar mac641 avatar

Stargazers

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Watchers

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sohappy's Issues

Library Research - Faces

We want to research on which library which library we want to use for facial landmark/feature detection as well as smile detection

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