Emotion Computing - Einzelansicht

Computational Analysis of Emotions

Emotions facilitate human interactions and have been a subject of psychological research for more than a century. The seminar will introduce students to common theories of emotions and discuss how emotions can be quantified and analyzed using methods of computer science. The focus will lie predominantly on emotional facial expressions. The statistical environment R will be used for practical sessions. Students will collect and work with face-tracking and emotion annotation data. Methods for the analysis of high-dimensional data such as cluster analysis and principal component analysis will be employed and students will learn to visualize their results. Finally, partial least squares analysis will be introduced as a technique to study the relationship between multiple sets of high-dimensional data on the example of the emotional perception of facial expressions.

This is a blocked course from March 18 to 29,

each day starting at 14:00.

Room 03.04.1.02

project work with oral presentation,

written test

students of computer science / computational science, data science, cognitive systems etc.