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Empathetic Behaviour Analysis with Deep Learning


Description Empathic behaviour analysis is one of the most overlooked mechanisms in intelligent systems today. It can be defined as a complex process whereby "an observer reacting emotionally because he perceives that another is experiencing or about to experience an emotion”. Future machines should be endowed the ability to behave in an empathic manner, aiming at establishing and maintaining positive and long-term relationships with users.
Task (a) study the work in the literature where empathetic behaviour is detected automatically in text/speech/video, (b) preliminary hands-on evaluation of a deep learning approach for empathetic behaviour detection from speech and facial expressions.
Utilises Python, Tensorflow, Keras
Requirements Preliminary knowledge of machine learning, good programming skills
Languages English
Supervisor  Jing Han (jing.han@informatik.uni-augsburg.de)