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Data for: Step-to-step variations in human running reveal how humans run without falling

Dryad2019-01-01 更新2026-04-13 收录

步态分析

运动稳定性

数据链接：

https://datadryad.org/resource/doi:10.5061/dryad.1nt24m0/1 数据链接链接失效反馈

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资源简介：

Data for: Step-to-step variations in human running reveal how humans run without falling

应用场景：

创建时间：

2019-01-01

步态分析

运动轨迹重建

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

Kinematics (joint angle) descriptions.

步态分析

神经肌肉疾病

H: affected lower limb in children with hemiplegia or R: right lower limb in children with mild scoliosis; UH: unaffected lower limb in children with hemiplegia or L: left lower limb in children with

Figshare2015-12-02 更新00

Subjects11_12

步态分析

压力测量

Raw pressure data from subjects 11 and 12 collected from 5 different speeds for 5 minutes per speed.

Dryad2016-01-01 更新00

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

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

Data for: Step-to-step variations in human running reveal how humans run without falling

资源简介：

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