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Development of FSR Sensor Suits Controlling Walking Assist System for Paraplegic Patients

하반신 마비환자의 보행보조시스템 제어를 위한 저항 센서 슈트 개발

  • Jang, E.H. (Robot Research Department, IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Chi, S.Y. (Robot Research Department, IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Lee, J.Y. (Robot Research Department, IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Cho, Y.J. (Robot Research Department, IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Chun, B.T. (Department of Web Information Engineering, Hankyong National University)
  • 장은혜 (한국전자통신연구원 융합기술연구부문 로봇/인지시스템연구부 인지기술연구팀) ;
  • 지수영 (한국전자통신연구원 융합기술연구부문 로봇/인지시스템연구부 인지기술연구팀) ;
  • 이재연 (한국전자통신연구원 융합기술연구부문 로봇/인지시스템연구부 인지기술연구팀) ;
  • 조영조 (한국전자통신연구원 융합기술연구부문 로봇/인지시스템연구부 인지기술연구팀) ;
  • 전병태 (한경대학교 웹정보공학과)
  • Received : 20092021
  • Accepted : 2010.06.14
  • Published : 2010.09.30

Abstract

The purpose of this study was to develop the FSR sensor suit that controls walking assist device for paraplegic patients. The FSR sensor suit was to detect user's intent and patterns for walking by measuring pressure on the palm and the sole of user's foot. It consisted of four modules: sensing pressure from palm, changing modes and detecting pressure on the palm/at the wrist, sensing pressure from the soles of user's foot, and host module that transmit FSR data obtained from sensing modules to PC. Sensing modules were connected to sensing pads which detect analog signals obtained from the palm or the sole of foot. These collect signals from the target regions, convert analog signals into digital signals, and transmit the final signals to host module via zigbee modules. Finally, host modules transmit the signals to host PC via zigbee modules. The study findings showed that forces measured at the palm when using a stick reflected user's intent to walk and forces at the sole of the user's foot revealed signals detecting walking state.

Keywords

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