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Analysis Software based on Center of Pressure to Improve Body Balance using Smart Insole 원문보기

International journal of advanced smart convergence, v.9 no.1, 2020년, pp.202 - 208  

Moon, Ho-Sang (Dept. of Computer Engineering, Korea Polytechnic University) ,  Goo, Se-Jin (Dept. of Computer Engineering, Korea Polytechnic University) ,  Byun, Sang-Kyu (Dept. of Computer Engineering, Korea Polytechnic University) ,  Shin, Sung-Wook (Dept. of Computer Engineering, Korea Polytechnic University) ,  Chung, Sung-Taek (Dept. of Computer Engineering, Korea Polytechnic University)

Abstract ▼ AI-Helper 아이콘AI-Helper

Body balance necessary for ordinary daily activities can be undermined by diverse causes. In this study, as a way to control such a problem, we have produced smart insole as a wearable device in the form of insole and developed analysis software evaluating body balance, which measures ground reactio...

주제어

#Body Balance   #Center of Pressure   #Smart Insole   #Training Contents   #Virtual Reality   #Wearable Device  

표/그림 (4)

AI 본문요약
AI-Helper 아이콘 AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

제안 방법

  • Based on the above, software was established in this study, which can collect and analyze body balance related data by attaching FSR and inertial sensors to shoe insoles along with training contents for body balance exercise.
  • Total Sway can measure the main parameters utilized for static balancing ability – max/min COP values, deviation, mean travel speed, travel speed deviation, and area-specific pressure distribution ratio. Data were measured for 30 seconds each with eyes open and closed to gather more diversified information by distorting information from multiple sense organs. A in Figure 3(a) shows COP position change while a user is moving, and average COP position; and B exhibits the quantitative values of foot AP or ML COP, max COP move to forth, back, left and right, COP change speed, asymmetry of both feet’s pressure, etc.
  • For these reasons, it is necessary to develop a method evaluating one’s body balance and improving it.
  • In this study, the software was established to evaluate body balance quantitatively by collecting diverse data, other than the existing way of evaluation based on the subjective experience of specialists. In addition tothis, smart insole was produced, which is a wearable device to acquire body balance data in environment similar to our daily living space.
  • The body balance analysis software visualized changing COP positions while a user was moving and average COP positions and analyzed not only the foot anterior-posterior but also medial-lateral COP values. Gait analysis also examined the time during walking, strides, speed, COP trajectory while walking, etc.
  • Gait analysis also examined the time during walking, strides, speed, COP trajectory while walking, etc. The training contents utilizing the data related to body balance as above train the conventional moves for body balancing evaluation and present the pre/post-train changes in body balance for individual participants to visually check the effect of repeated training.
  • In addition tothis, smart insole was produced, which is a wearable device to acquire body balance data in environment similar to our daily living space. To provide safer and stronger training effect, the training contents were designed in VR environment.
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