Abstract
Biomechanical models are often used to predict muscle and joint forces in the human body. For estimation of muscle forces, the body and muscle properties have to be known. However, these properties are difficult to measure and differ from person to person. Therefore, it is necessary to predict the change in muscle forces depending on the body and muscle properties. The objective of the present study is to develop a numerical procedure for estimating the muscle forces in the human lower extremity under uncertainty of body and muscle properties during rising motion from a seated position. The human lower extremity is idealized as a multibody system in which eight Hill-type muscle force models are employed. Each model has four degrees of freedom and is constrained in the sagittal plane. The eight muscle forces are determined by minimizing the metabolic energy consumption during the rising motion. Uncertainty analysis is performed using a first-order reliability method. The one-standard-deviation range of agonistic muscle forces is calculated to be about 150–300 N. § 이 논문은 2014년도 대한기계학회 신뢰성부문 춘계학술대회 (2014. 2. 26.-28., 제주대) 발표논문임 † Corresponding Author, hhyoo@hanyang.ac.kr C 2014 The Korean Society of Mechanical Engineers 조영남 · 강문정 · 채제욱 · 유홍희 1148 P f : 수동요사가 발생시키는 수축력 φ : 우모각 t F : 건의 수축력 e : 건의 변형률
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