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最大等长力的发挥预测由力可行集形式主义:在手制动中的应用。

Maximal isometric force exertion predicted by the force feasible set formalism: application to handbraking.

机构信息

AUCTUS Team, INRIA Bordeaux, University of Toulon , Toulon , France.

Univ Lyon, Université Claude Bernard Lyon, Ifsttar , Lyon , France.

出版信息

Ergonomics. 2019 Dec;62(12):1551-1562. doi: 10.1080/00140139.2019.1660418. Epub 2019 Sep 9.

DOI:10.1080/00140139.2019.1660418
PMID:31496431
Abstract

The aim of this study was to test the capacity of the force feasible set formalism to predict maximal force exertion during isometric handbraking. Maximal force exertion and upper-limb posture were measured with a force sensor embedded in a handbrake and an optoelectronic system, respectively. Eleven subjects participated in the experiment which consisted of exerting the maximal force in isometric conditions considering five hand brake positions relative to the seat H-point. Then, maximal force was predicted by the force feasible set obtained from an upper-limb musculoskeletal model. The root-mean-square (RMS) of the angle between measured and predicted forces was 8.4° while the RMS error (RMSE) for amplitude prediction was 95.4 N. However, predicted, and measured force amplitudes were highly correlated ( = 0.88,  < 0.05, slope = 0.97, intercept = 73.3N) attesting the capacity of the model to predict force exertion according to the subject's posture. The implications in the framework of ergonomics are then discussed. Maximal force exertion is of paramount importance in digital human modelling. We used the force feasible set formalism to predict maximal force exertion during handbraking from posture and anthropometric data. The predicted and measured force orientation showed a RMS of 8.4° while amplitude presented a RMSE of 95.4 N with a strong correlation ( = 0.88,  < 0.05, slope 0.97, intercept 77.3 N).

摘要

本研究旨在测试力可行集形式主义预测等长手刹最大力施力的能力。最大力施力和上肢姿势分别使用嵌入手刹的力传感器和光电系统进行测量。11 名受试者参与了实验,实验包括在相对于座椅 H 点的五个手刹位置考虑等长条件下施加最大力。然后,通过上肢肌肉骨骼模型获得的力可行集来预测最大力。实测力与预测力之间角度的均方根 (RMS) 为 8.4°,而幅度预测的 RMS 误差 (RMSE) 为 95.4N。然而,预测力和实测力幅度高度相关( = 0.88,  < 0.05,斜率 0.97,截距 73.3N),证明了该模型根据受试者姿势预测力施力的能力。然后讨论了在人体工程学框架中的意义。最大力施力在数字人体建模中至关重要。我们使用力可行集形式主义,根据姿势和人体测量数据预测手刹制动时的最大力施力。预测力和实测力方向的 RMS 为 8.4°,幅度的 RMSE 为 95.4N,相关性很强( = 0.88,  < 0.05,斜率 0.97,截距 77.3N)。

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