• DocumentCode
    3619941
  • Title

    Voice operated intelligent wheelchair - VOIC

  • Author

    G. Pacnik;K. Benkic;B. Brecko

  • Author_Institution
    Inst. of Robotics, Maribor Univ., Slovenia
  • Volume
    3
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    1221
  • Abstract
    A development of the intelligent wheelchair lab prototype is shown in the paper. VOIC is designed for physically disabled person, who can not control their movements and control the wheelchair with the joystick. The article describes basic components of voice recognition and wheelchair control system. Voice recognition begins with input signal sampling, word isolation, LPC cepstral analysis, coefficient dimension reduction and trajectory recognition using fixed point approach with neural networks. Wheelchair control system is divided into system for sensors data acquisition and system for wheelchair steering. The complexity of the voice recognition is reduced using LPC cepstral analysis and coefficient dimension reduction with minimum loss of vital information. A proper decision for the speech recognition using neural networks is supported with experimental results.
  • Keywords
    "Wheelchairs","Speech recognition","Control systems","Linear predictive coding","Cepstral analysis","Neural networks","Prototypes","Signal sampling","Sensor systems","Data acquisition"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2005. ISIE 2005. Proceedings of the IEEE International Symposium on
  • Print_ISBN
    0-7803-8738-4
  • Type

    conf

  • DOI
    10.1109/ISIE.2005.1529099
  • Filename
    1529099