• DocumentCode
    2216578
  • Title

    Speech recognition based wireless automation of home loads with fault identification for physically challenged

  • Author

    Gnanasekar, A.K. ; Jayavelu, P. ; Nagarajan, V.

  • Author_Institution
    Dept. of ECE, Adhiparasakthi Eng. Coll., Melmaruvathur, India
  • fYear
    2012
  • fDate
    4-5 April 2012
  • Firstpage
    128
  • Lastpage
    132
  • Abstract
    The design of this project helps in providing a fool proof solution for physically challenged to control their home appliances by giving voice commands through personal computer in a wireless environment. When automating a home load not available in the visible range, Fault identification system in this design helps the user to ensure that their home appliances had gone exactly ON or OFF or undergone FAULT by getting the status from load end, unlike the other design that gets the status at user end which may give a false indication, when power supply is not available for the particular load or when load get open circuited (due to wire discontinuity or open fuse condition). During user screen navigation and controlling home appliances voice output of the current screen information and status of the automated appliances enables visually impaired person to use the system to control their home appliances. Navigation of the screen by giving voice commands enables paralyzed person and person who lost their hands in an unfortunate accident to control their home loads along with normal person. For achieving wireless environment low cost zigbee is used. To provide security based authentication RFID is used. Each home load will be having two commands ON and OFF commands, Automation of 20 loads such as mixer, grinder, TV, refrigerator, fan, light, AC etc..., has been tested by giving 40 voice commands through personal computer. When user creates his own profile and automates the load speech recognition accuracy of more than 90% is achieved. Other people who were allowed to automate the load by the user can use user profile and achieve a speech recognition accuracy of 75% in the same personal computer.
  • Keywords
    Zigbee; control engineering computing; handicapped aids; home automation; microcomputers; radiofrequency identification; speech recognition; telecontrol; RFID security based authentication; TV; fault identification system; grinder; home appliances; home load automation; low cost Zigbee wireless environment; mixer; personal computer; power supply; refrigerator; speech recognition; user screen navigation; wireless automation; Robots; Security; Speech; Speech recognition; ASR; RFID; ZIGBEE;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2012 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4673-1621-7
  • Type

    conf

  • DOI
    10.1109/ICCSP.2012.6208408
  • Filename
    6208408