In Artificial Intelligence, what is Affective Computing

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Affective Computing is a research direction within the large field of artificial intelligence and psychophysiology and deals with the automated recording of human emotions or mental states with the help of machine learning based on optical, acoustic or physiological data. The big vision is to make machines not only "smart", but also empathic.

As part of this internship, experiments or investigations from the field of affective computing are to be carried out in groups. First of all, suitable experiments are designed in which test persons can be placed in certain affective or emotional states and relevant (sensor) data can be recorded at the same time. The experiments are then carried out and the recorded data is analyzed using methods from the fields of data science and machine learning. If patterns can be successfully identified, a small demonstrator should be implemented at the end.

This internship is carried out in collaboration with Dr. Marco Maier as a lecturer at the LMU Munich. Dr. Marco Maier did his doctorate at the LMU at the Institute for Computer Science and is currently CTO at TAWNY (, one of the most exciting affective computing startups in Europe. During this internship, students gain valuable insights into the research area as well as the state of the art in industry.

Requirements: Knowledge or at least a strong interest in the topics of Artificial Intelligence, Machine Learning, etc .; Programming knowledge in Python advantageous




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