Human Motion Analysis in Interactive Environments

Course description
The course focuses on human motion analysis in interactive environments with special emphasis on serious games. This course will survey state-of-the-art techniques, in the industry and academia, related to the capturing, modelling, and analysis of human motion. It will involve an in-depth study of pattern recognition techniques and state of the art human motion recognition algorithms, such as Hidden Markov Models, Dynamic Time Warping, Linear Dynamic Models and Deep Learning approaches. Moreover, it will present techniques related to emotion recognition, through facial expression and body motion analysis, and engagement recognition in serious games. Finally, the course will introduce students to Artificial Intelligence (AI) algorithms for personalization and adaptation in serious games.

Objectives
On completion of the course, the student should be able to:

  • Use different motion capture technologies
  • Apply various human motion recognition algorithms
  • Understand basic pattern recognition approaches
  • Use eye tracking technologies
  • Apply human emotion recognition algorithms
  • Discuss theories and models of user’s engagement
  • Have a basic understanding of Artificial Intelligence (AI) algorithms for personalization and game adaptation

Academic Instructor
Kosmas Dimitropoulos | CERTH