• DocumentCode
    2106240
  • Title

    Smart Home Control System for the disabled using the head and the mouth movement

  • Author

    Wang Xianmei ; Liang Lingyan ; Deng Ti ; Wang Zhiliang

  • Author_Institution
    Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    3527
  • Lastpage
    3530
  • Abstract
    With the increasing number of disabled people, it is an important subject for us to improve their quality of life. For special people with hands disabilities, this paper presents a kind of Smart Home Control System, which uses the head and mouth movements to control household appliances. The system combines Adaboost algorithm and ASM algorithm for face detection and feature-point calibration. According to the feature points, the system can detect the user´s head movements and mouth status information, so that the users can select the appliances by head and mouth movements. Finally, through the RS232 serial communication, the system sends operation commands to the appliance´s infrared receiver by an infrared carrier, and then the receiver will decode the information received to complete the appliance control. The system designed in this paper can effectively improve the convenience of persons with hand disabilities to control household appliances.
  • Keywords
    face recognition; handicapped aids; home automation; object detection; ASM algorithm; Adaboost algorithm; RS232 serial communication; disabled people; face detection; feature-point calibration; household appliance control; infrared carrier; infrared receiver; mouth movement; mouth status information; smart home control system; Control systems; Feature extraction; Home appliances; Manganese; Mouth; Shape; Smart homes; Head Moving; Health Care for the Disabled; Household Control; Mouth States; Smart Home System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573372