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Accessible ground reaction force estimation using insole force sensors without force plates

机译:使用不带测力板的鞋底力传感器可估算地面反作用力

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Ground reaction force (GRF) estimations using instrumented insoles relied on the use of costly force plates in previous works. This paper designed insoles with 15 force sensing resisters and presents an accessible estimation method of vertical GRF (vGRF) using the insole without any cost-prohibitive devices. To determine vGRF from the insole sensor forces, a subject-specific linear regression model was constructed using a least-squares method with a constraint and a bound. The regression matched the sensor forces during single-leg standing (SLS) to a subject's body weight with a linear constraint using data measured while walking. During SLS, standing static and shifting body weight were performed to enhance estimation accuracies. The accuracies of constructed models while walking were evaluated by comparison with the Nintendo Wii Balance Board (WBB) which can measure accurate vGRF compared with force plates. The results for an adult had 8-15 % root mean squared errors (RMSEs) with no significant deviations from previous methods which relied on force plates. From these results, the proposed method was validated as an accessible kinetic gait analysis system.
机译:使用仪器内底的地面反作用力(GRF)估算依赖于先前工作中使用昂贵的测力板。本文设计了具有15个力感测电阻器的鞋垫,并提出了一种使用不带任何成本限制装置的鞋垫的垂直GRF(vGRF)的简便估算方法。为了从鞋内底传感器力确定vGRF,使用具有约束和界限的最小二乘法构造了特定于受试者的线性回归模型。回归使用步行时测量的数据,将单腿站立(SLS)期间的传感器力与受测者的体重进行线性约束匹配,并具有线性约束。在SLS期间,进行站立静态和移动体重以提高估计的准确性。通过与任天堂Wii平衡板(WBB)进行比较来评估行走时构造模型的准确性,后者可以与力板相比测量精确的vGRF。成人的结果具有8-15%的均方根误差(RMSE),与以前依靠测力板的方法没有显着偏差。从这些结果,所提出的方法被验证为可访问的动力学步态分析系统。

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