A modified demo app from Affectiva, reflecting on the usage of emotion recognition software through a story by W.F. Hermans.
Go to file
toby cabot b09f993b26 Use .aar archive to install SDK 2016-02-27 08:37:13 -05:00
app Use .aar archive to install SDK 2016-02-27 08:37:13 -05:00
gradle/wrapper Add support for multiface mode, appearance identifiers, emoji, and landscape mode. 2016-01-25 17:17:11 -05:00
.gitignore Use .aar archive to install SDK 2016-02-27 08:37:13 -05:00
.travis.yml add travis.yml config for continuous integration builds on TravisCI 2016-01-29 11:29:49 -05:00
README.md Use .aar archive to install SDK 2016-02-27 08:37:13 -05:00
build.gradle Use .aar archive to install SDK 2016-02-27 08:37:13 -05:00
gradlew Update project dependencies and add placeholders for SDK files. 2016-01-25 17:17:11 -05:00
gradlew.bat Add support for multiface mode, appearance identifiers, emoji, and landscape mode. 2016-01-25 17:17:11 -05:00
license.txt Add copyright information to every java source file and every project xml file 2016-01-25 17:24:23 -05:00
settings.gradle Move AffdexMe files up to root 2015-11-16 14:10:32 -05:00

README.md

Build Status Affectiva Logo

###Copyright (c) 2016 Affectiva Inc.
See the file license.txt for copying permission.


AffdexMe is an app that demonstrates the use of the Affectiva Android SDK. It uses the camera on your Android device to view, process and analyze live video of your face. Start the app and you will see your face on the screen and metrics describing your expressions. Tapping the screen will bring up a menu with options to display the Processed Frames Per Second metric, display facial tracking points, and control the rate at which frames are processed by the SDK.

To use this project, you will need to:

  • Obtain a license for the Affectiva Android SDK. Evaluation licenses are available at no cost from http://www.affectiva.com/solutions/apis-sdks/
  • Copy your license file to this project's app/src/main/assets/Affdex folder and rename to license.txt
  • Build the project using Android Studio
  • Run the app and smile!

If you are interested in learning how the Affectiva SDK works, you will find the calls relevant to the use of the SDK in the initializeCameraDetector(), startCamera(), stopCamera(), and onImageResults() methods. See the comment section at the top of the MainActivity.java file for more information.


This app uses some of the excellent Emoji One emojis.