Human-machine interaction

About group

The group deals with issues of interdisciplinary interaction between human beings and computer systems (Human-Machine Interaction, HMI). This issue includes a variety of disciplines such as cognitive science, software engineering, artificial intelligence, signal processing, psychology, sociology and anthropology. The main aim of HMI is mutual understanding between humans and machines.

The development of HMI systems includes both algorithm design and hardware resources design, and also the understanding of human responses and their variability within the target group. An example of HMI systems can be a robot capable of human speech communication. Other possible applications are:

  • Recognition of emotional states of people from their speech, facial gestures, and physiological signals;
  • Machine control by voice, eyes and brain signals;
  • Speech recognition and speech synthesis;
  • Interactive games.

Companies and universities we are cooperating with

Relation to the study subjects

  • Signals and systems analysis (BASS)
  • Digital filters (BCIF)
  • Digital signal processing (MCSI)
  • Graphic and multimedia processors (MGMP)
  • Advanced techniques of image processing (MPZO)

Important publications

ATASSI, H., RIVIELLO, M., SMÉKAL, Z., HUSSAIN, A., ESPOSITO, A.: Emotional Vocal Expressions Recognition using the COST 2102 Italian Database of Emotional Speech. Lecture Notes in Computer Science (IF 0,513), 2009, vol. 2009, no. 5967, pp. 1-14. ISSN: 0302-9743.

ATASSI, H., ESPOSITO, A.: A Speaker Independent Approach to the Classification of Emotional Vocal Expressions. In Proceedings of the Twentieth International Conference on Tools With Artificial Intelligence, ICTAI 2008. Dayton, Ohio, USA: IEEE Computer Society, 2008. pp. 147-152. ISBN: 978-0-7695-3440-4.

MÍČA, I., ATASSI, H., PŘINOSIL, J., NOVÁK, P.: Voice Activity Detection Under the Highly Fluctuant Recording Conditions of Call Centres. In Advances in Communications, Computers, Systems, Circuits and Devices. 2010. pp. 334-336. ISBN: 978-960-474-250-9.