We developed estimation models for six parameters that capture the features of healthy knee movement by using an in-shoe motion sensor (IMS).
This study investigated the in vivo motion characters of the knee by analyzing the axial tibial rotation and tibiofemoral articular contact motion during a ...
Estimation of knee flexion features using foot motion data from in-shoe motion sensors. Kazuki Ihara. Biometrics Research Labs. NEC Corporation. Abiko, Japan.
Methods: Twenty-eight patients with knee osteoarthritis participated in this study. Knee flexion excursions in loading response and swing during gait were ...
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Aug 14, 2021 · We aimed to estimate the knee joint angle using a textile capacitive sensor and artificial neural network (ANN) implementing with three shoe types at two gait ...
Our objective is to demonstrate a method for providing long-term daily frailty monitoring using an in-shoe motion sensor (IMS).
Gait analysis using wearable sensors and machine learning can discriminate between healthy and knee osteoarthritis patients and classify different subgroups.
Missing: flexion | Show results with:flexion
Aug 25, 2019 · The purpose of this study is to develop an artificial neural network (ANN) that estimates KJF during sport movements, based on data obtained by wearable ...
We propose a real-time temporal estimation method for gait parameters concerning bilateral lower limbs (GPBLLs) that uses a single IMS and is based on a gait ...
The aim of this study was continuous estimation of lower limb joint angles during walking using an accelerometer and random forest (RF).
Missing: flexion | Show results with:flexion