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Cross-Culture Emotion Recognition in the Wild


Description The automatic detection and understanding of the emotional states of humans is essential, to improve the effectiveness of intelligent systems and devices, via providing an affective-based personalised user experience. Thanks to the great developments of machine learning, innovative technologies and algorithms are urging to handle affective information. Yet, in affective computing, there is not a lot of study on emotion recognition in cross-culture or multi-culture scenarios, by taking the effect of culture into account.
Task (a) a survey of the present techniques and related works in this emerging research field, and (b) evaluation on an audiovisual emotional dataset with 6 cultures.
Utilises  Python, Tensorflow, Keras
Requirements Preliminary knowledge of machine learning, good programming skills in Python
Languages English
Supervisor  Jing Han (jing.han@informatik.uni-augsburg.de)