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Alternative tactile sensor for measuring rehabilitation study using to neural network

신경망을 적용한 재활훈련 측정용 대체 촉각 센서 연구

  • 임승철 (우송대학교 컴퓨터정보학과) ;
  • 진고환 (우송대학교 IT 경영학과)
  • Received : 2012.06.08
  • Accepted : 2012.08.10
  • Published : 2012.08.31

Abstract

Injured peoples usually care their body at medical institutions. But if they need some more rehabilitation to the affected area thus exist. These medical institutions according to the scale there are significant differences in rehabilitation programs, most of the small-scale rehabilitation program for medical doctors and patients to be progression of the conversation is an issue. In this paper, in a small medical facility rehabilitation to assist in the accuracy and reliability, physical contact and force sensors that can measure a combination of substitution and the tactile sensor and tactile sensor alternative with a similar function is proposed. Perceptron neural networks by applying the contact evaluation according to the algorithm to determine the pattern is applied.

사람들이 신체를 다친 경우 의료기관에서 치료를 것이 보통이다. 하지만 몇몇 환부에 따라서 추가적인 재활이 필요한 경우도 존재한다. 이러한 의료기관은 규모에 따른 재활프로그램에 큰 차이가 있으며, 규모가 작은 대개의 의료기관의 재활프로그램은 의사와 환자의 구두로 진행이 되는 것이 문제점이다. 따라서 본 논문에서는 이러한 소규모 의료기관에서의 재활치료에 정확도와 신뢰성을 보조하기 위해서 신체의 접촉과 힘을 계측할 수 있는 센서들을 대체 및 조합하여 촉각 센서와 유사한 기능을 가지는 대체 촉각 센서를 제안한다. 본 논문에서는 퍼셉트론 신경망을 적용시켜 접촉 평가를 패턴에 따라 확인하는 알고리즘을 적용하였다.

Keywords

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