EmotionDetectionAsset

Implementation of 'Emotion Detection Asset' v1.0.

Authors: Kiavash Bahreini, Wim van der Vegt.

Organization: Open University of the Netherlands (OUNL).

Task: T2.3 of the RAGE project. The project website is http://rageproject.eu.

For any questions please contact:

Kiavash Bahreini via kiavash.bahreini [AT] ou [DOT] nl and/or Wim van der Vegt via wim.vandervegt [AT] ou [DOT] nl

Cite this work as: Bahreini, K., van der Vegt, W. & Westera, W. Multimedia Tools and Applications (2019). https://doi.org/10.1007/s11042-019-7250-z

The solution consists of seven projects: - 'DLIB Wrapper' is a C# wrapper over the DLIB C++ library. Dlib's open source licensing allows you to use it in any application even in commercial applications, free of charge. It is freely available at http://dlib.net. - 'EmotionDetectionAsset' is an asset for realtime emotion detection through loading an static image file, a recorded video file, or a live webcam stream. - 'EmotionDetectionAsset_Demo' provides a demo version of the asset. - 'EmotionDetectionAsset' provides portable version of the asset. - 'EmotionDetectionAsset_Test' provides ...TBC... . The 'EmotionDetectionAsset_Test' project is not necessary and can be safely removed. - 'AssetManager' is a package that the emotion detection asset dependent on it. You can also download it separately from https://github.com/rageappliedgame/AssetManager. - 'RAGEAssetManager_Portable' provides portable version of the AssetManager.

For more implementation and integration details of the RAGE project assets you may refer to the software design document (https://rage.ou.nl/filedepot?fid=501).

Summary of most important changes from the previous version of the TwoA asset:

• The README.txt file has been updated.
• The lincence texts were added to the source codes.
• The user inteface of the 'EmotionDetectionAsset_Demo' has been updated.