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Motion and posture recognition for identifying human emotional reactions

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Abstract

This paper describes the system for identifying human emotional reactions. Particular attention is devoted to the motion and gesture recognition approaches and methods. The existing systems for recognizing human emotion are briefly reviewed. The scopes of the developed system and current state of the project are described.

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Authors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    V. L. Rozaliev & Yu. A. Orlova

Authors
  1. V. L. Rozaliev
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  2. Yu. A. Orlova
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Correspondence to V. L. Rozaliev.

Additional information

This paper uses the materials of the report submitted at the 11th International Conference “Pattern Recognition and Image Analysis: New Information Technologies,” Samara, Russia, September 23–28, 2013.

Vladimir Leonidovich Rozaliev. Born in 1984. Candidate of technical sciences. Docent of the System of Automated Design and Search Construction Department of the Volgograd State Technical University. He received his undergraduate degree in 2007 and, in 2007–2009, he completed his post-graduate studies, both at the System of Automated Design and Search Construction Department of the Volgograd State Technical University. He received his candidate’s degree in technical sciences in November 2009.

Fields of scientific interest: artificial intelligence, image recognition and picture analysis, analysis of textual information, fuzzy systems and models, human motion recognition and analysis, and the identification and simulation of human emotional reactions. He has published more than 130 scientific works in journals, proceedings of International and All-Russian conferences. He is the executor of a grant of the Foundation for Promotion of the Development of Small Enterprises in the Scientific and Technical Field, grant of the President of the Russian Federation, and grants of the Russian Foundation for Basic Research.

Yulia Aleksandrovna Orlova. Born in 1984. Candidate of technical and pedagogical sciences, candidate for a doctor’s degree, docent of the “Systems of Automated Design and Search Construction” Department of the Volgograd State Technical University. In 2007, she graduated from Volgograd State Technical University, entered full-time postgraduate studies, and defended her candidate’s dissertation. Fields of interest: semantic analysis, systemic analysis, automation of design and artificial intelligence.

She has published 223 works in different journals, proceedings and materials of All-Russian and International conferences.

She is a member of the Russian Association of Fuzzy Systems and Soft Calculations, member of the Russian Association of Artificial Intelligence, corresponding member of the Academy of Management in Education and Culture. Orlova has repeatedly been a laureate and has won competitions in the projects of scientific research and development activities of the Grant Council of the President of the Russian Federation, State Foundation for Promoting the Development of Small Enterprises in the Scientific and Technical Field, and the Russian Foundation for Basic Research.

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Rozaliev, V.L., Orlova, Y.A. Motion and posture recognition for identifying human emotional reactions. Pattern Recognit. Image Anal. 25, 710–721 (2015). https://doi.org/10.1134/S1054661815040239

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