• DocumentCode
    2171387
  • Title

    HMM and NN for Gesture Recognition

  • Author

    Delgado-Mata, Carlos ; Cosio, Blanca Miriam Lee

  • Author_Institution
    Escuela de Ing., Univ. Panamericana, Aguascalientes, Mexico
  • fYear
    2010
  • fDate
    Sept. 28 2010-Oct. 1 2010
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    This paper presents the application of Hidden Markov Models and Artificial Neural Networks to recognise trajectory patterns in a Euclidean space from data filtered and parametrised by the Fast Fourier Transform. The data comes from the movement of a device based on accelerometers which is used by the Nintendo Wii.
  • Keywords
    accelerometers; computer games; fast Fourier transforms; gesture recognition; hidden Markov models; neural nets; Euclidean space; Nintendo Wii; accelerometers; artificial neural network; fast Fourier transform; gesture recognition; hidden Markov model; trajectory pattern recognition; Acceleration; Accelerometers; Artificial neural networks; Fast Fourier transforms; Gesture recognition; Hidden Markov models; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010
  • Conference_Location
    Morelos
  • Print_ISBN
    978-1-4244-8149-1
  • Type

    conf

  • DOI
    10.1109/CERMA.2010.18
  • Filename
    5692312
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2171387