Example IMU data and scripts for reconstructing the trajectory of a sacral IMU and validation with motion capture data. Also contains example code of gait event detection and synchronization., , Matla

DataONE2023-06-02 更新60

Features (mean and variability) with highest weight value based on different subsets, the best performing variability, the average performance results of the SVM classification models from leave-one-subject-out cross validation (reported as mean ± standard deviation), and the number of strides per subset.

步态分析

运动模式识别

Features (mean and variability) with highest weight value based on different subsets, the best performing variability, the average performance results of the SVM classification models from leave-one-s

NIAID Data Ecosystem00

Step-by-step variability of swing phase trajectory area during steady state w...

步态分析

步态变异性评估

Step kinematic variability has been characterized during gait using spatial and temporal kinematic characteristics. However, people can adopt different trajectory paths both...

B2FIND00

Example data and scripts for: Processing IMU signals to recreate sacral trajectory during treadmill walking

资源简介：

Example data and scripts for: Processing IMU signals to recreate sacral trajectory during treadmill walking

资源简介：

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