Prometheus database: a multimodal corpus for research on modeling and interpreting human behavior

  • Authors:
  • Stavros Ntalampiras;Dejan Arsic;Andre Störmer;Todor Ganchev;Ilyas Potamitis;Nikos Fakotakis

  • Affiliations:
  • Department of Electrical and Computer Engineering, University of Patras;Institute for Human Machine Communication, Technische Universität München;Institute for Human Machine Communication, Technische Universität München;Department of Electrical and Computer Engineering, University of Patras;Technological Educational Institute of Crete;Department of Electrical and Computer Engineering, University of Patras

  • Venue:
  • DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
  • Year:
  • 2009
  • Affect recognition in real life scenarios

    Proceedings of the Third COST 2102 international training school conference on Toward autonomous, adaptive, and context-aware multimodal interfaces: theoretical and practical issues

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Abstract

The present paper describes the construction of a multimodal database, referred to as the PROMETHEUS database, which contains recordings from heterogeneous sensors. The main purpose of this database is the development of a framework for monitoring and interpretation of human behavior in unrestricted environments of both indoor and outdoor type. It contains single-person and multi-person scenarios, but also covers scenarios with interactions between groups of people. It is devoted to detection of typical and a typical events, while care has been to taken for the recordings to be as close to real-world conditions as possible. The uniqueness of the PROMETHEUS database comes not only from the unique sensor sets but is due primarily to its generic design, which allows for embracing a wide range of real-world applications (including smart-home and human-robot interaction interfaces, indoors/outdoors public areas surveillance etc).