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A Study on Anticipation System of Shudder Distinction by the Physical Shape Alteration in Static Condition

고정상태에서 신체 형태변화에 따른 떨림 판별의 예측시스템 연구

  • Received : 2017.03.31
  • Accepted : 2017.06.09
  • Published : 2017.06.30

Abstract

Moving techniques is made up the physical moving status of the flow distinction modulus (FDM) and stream distinction modulus (SDM) on the shudder moving shape. Condition of the distinction modulus by the shudder moving shape is organized the dangle moving system. As to define the physical moving of special signal on the matter, we compared a shudder value of the flow distinction modulus on the flow state. The concept of stream distinction modulus is analyzed the reference of stream distinction signal and stream distinction signal by the stream state. For detecting a variation of the FDM-SDM of the maximum-minimum and average in terms of the moving shape, and shudder moving value that is a shudder value of the top variation of the $Top-{\varepsilon}$ MAX-MIN-AVG with $(-0.817){\pm}0.15$ units, that is a shudder value of the peripheral variation of the $Per-{\varepsilon}$ MAX-MIN-AVG with $(-2.53){\pm}(-0.11)$ units, that is a shudder value of the limbus variation of the $Lim-{\varepsilon}$ MAX-MIN-AVG with $(-0.29){\pm}0.03$ units, that is a shudder value of the center variation of the $Cen-{\varepsilon}$ MAX-MIN-AVG with $(-0.09){\pm}(-0.01)$ units. The dangle moving will be to assess at the capacity of the physical moving shape for the control degree of distinction modulus on the FDM-SDM that is showed the flow and stream shape by the distinction modulus system. Dangle distinction system is adjusted of a shape by the special moving and is included a shudder data of dangle moving modulus.

생체의 움직임을 판별을 예측하는 기술은 흐름판별율과 스트림판별율로 변화의 형태를 구성하여 진행한다. 떨림의 움직이는 형태는 판별율의 조건에 따라 움직임의 유동시스템으로 구성한다. 흐름판별율은 생체 내 물질에서 특별한 부위의 신호를 대상으로 생체의 움직임을 정의하고 그 주변에 형태에 따라 흐름을 판별하여 떨림을 비교하여 신호값으로 선정한다. 스트림판별율은 스트림상태의 기준값을 설정하고 측정된 값과 비교하여 신호값으로 선정한다. 대상조건에 따라 판별은 특정부위의 상-아래-주변-중앙을 대상으로 최대치와 최소치 및 평균값으로 변수를 측정하였다. 떨림의 변화에 따라 상 $(-0.817){\pm}0.15$, 주변 $(-2.53){\pm}(-0.11)$, 아래 $(-0.29){\pm}0.03$, 중앙 $(-0.09){\pm}(-0.01)$ 의 최대치-최소치-평균값이 나타났다. 형태의 변화에 따른 현상을 통하여 생체의 움직임의 범위가 어떠한 형태의 유동현상을 갖고 있는지 예측할 수 있고, 특정부위의 상-아래-주변-중앙의 움직임으로 데이터를 구성하면 앞으로 특정부위의 여러 변화를 주었을 때 신체의 다양한 변화를 판별하는 예측기술이 진행될 것으로 판단된다.

Keywords

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