• DocumentCode
    678406
  • Title

    Breath Training for Hearing Impaired Hearing Chinldre Based on Computational Fluid Dynamics

  • Author

    Zhao Jian ; Shi Lijuan ; Fan Qinyin ; Lin Jun ; Du Qinsheng ; Wang Lirong ; Zhao Peng

  • Author_Institution
    Coll. of Instrum. & Electr. Eng., JiLin Univ., Changchun, China
  • fYear
    2013
  • fDate
    11-13 Dec. 2013
  • Firstpage
    506
  • Lastpage
    509
  • Abstract
    Breath training is an important part in the pronunciation recovery process, we simulate the fluent of air in the the upper respiratory tract, use computational fluid dynamic to build the impaired hearing children´s pronunciation recovery system, and we have tasted the reliability of the system by experimental. We study the two parts in the breath process by the dynamic fluid computational method, and build the 3D model for the breath process. The results can be used to direct the pronunciation training for impaired hearing children. One can evaluate the trainer´s breath process according the model, to find the weaking part in the process, to direct it. It will be useful in the pronunciation recovery process.
  • Keywords
    computational fluid dynamics; handicapped aids; hearing; medical computing; paediatrics; pneumodynamics; solid modelling; 3D model; breath process; breath training; computational fluid dynamics; dynamic fluid computational method; impaired hearing children; pronunciation recovery process; pronunciation recovery system; pronunciation training; system reliability; upper respiratory tract; Atmospheric modeling; Auditory system; Computational modeling; Fluids; Solid modeling; Three-dimensional displays; Training; 3D talking head; Computational Fluid Dynamics; pronunciation recovery about impaired hearing children;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-5159-3
  • Type

    conf

  • DOI
    10.1109/MSN.2013.82
  • Filename
    6726386