Soft-Remote-Control System based on EMG Signals for the Intelligent Sweet Home

  • Song, Jae-Hoon (Department of Electrical Engineering and Computer Science, KAIST) ;
  • Han, Jeong-Su (Department of Electrical Engineering and Computer Science, KAIST) ;
  • Pak, Ji-Woo (Department of Electrical Engineering and Computer Science, KAIST) ;
  • Kim, Dae-Jin (Human-friendly Welfare Robot System Engineering Research Center, KAIST) ;
  • Jung, Jin-Woo (Human-friendly Welfare Robot System Engineering Research Center, KAIST) ;
  • Bien, Z. Zenn (Department of Electrical Engineering and Computer Science, KAIST, Human-friendly Welfare Robot System Engineering Research Center, KAIST) ;
  • Lee, He-Young (Department of Control and Instrumentation Engineering, SNUT)
  • Published : 2005.06.02

Abstract

This paper proposes a soft-remote-control (soft-remocon) system based on EMG signals for the Intelligent Sweet Home. The proposed system is applied to Intelligent Sweet Home which was developed to help the independence living of the elderly and physically handicapped individuals. The goal of proposed system is to control home-installed electronic devices such as TV, air-conditioner, curtain and lamp in Intelligent Sweet Home using EMG signals. Features such as VAR and DAMV having good separability performance are selected for pattern classification. FMMNN is adopted as a pattern classifier. Classification results are allowed to a developed remote control module and then corresponding infrared pulses can operate home-installed electronic devices. We concluded that EMG as an input interface for home-installed electronic devices in Intelligent Sweet Home.

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