Man-machine communication via CFNN-based hand sign models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, the usage of smart environments has become popular, in order to make everyday living more comfortable and to improve the quality of live of humans. In this paper, a hand posture and gesture modeling and recognition system is introduced, which can be used as an interface to make possible communication with the Intelligent Space by simple hand gestures. The system transforms preprocessed data of the detected hand into a feature model by using fuzzy neural networks and based on this model determines the actual hand posture applying fuzzy inference. Finally, from the sequence of detected hand postures, the system can recognize the hand gesture of the user.

Original languageEnglish
Title of host publicationSAMI 2010 - 8th International Symposium on Applied Machine Intelligence and Informatics, Proceedings
Pages329-334
Number of pages6
DOIs
Publication statusPublished - Apr 30 2010
Event8th International Symposium on Applied Machine Intelligence and Informatics, SAMI 2010 - Herlany, Slovakia
Duration: Jan 28 2010Jan 30 2010

Publication series

NameSAMI 2010 - 8th International Symposium on Applied Machine Intelligence and Informatics, Proceedings

Other

Other8th International Symposium on Applied Machine Intelligence and Informatics, SAMI 2010
CountrySlovakia
CityHerlany
Period1/28/101/30/10

Keywords

  • Fuzzy neural networks
  • Hand gesture recognition
  • Hand posture modeling
  • Intelligent space
  • iSpace

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems

Fingerprint Dive into the research topics of 'Man-machine communication via CFNN-based hand sign models'. Together they form a unique fingerprint.

  • Cite this

    Várkonyi-Kóczy, A. R., & Tusor, B. (2010). Man-machine communication via CFNN-based hand sign models. In SAMI 2010 - 8th International Symposium on Applied Machine Intelligence and Informatics, Proceedings (pp. 329-334). [5423705] (SAMI 2010 - 8th International Symposium on Applied Machine Intelligence and Informatics, Proceedings). https://doi.org/10.1109/SAMI.2010.5423705