Level 1 - C3D files

Figshare2022-11-14 更新2026-04-28 收录

人体动作捕捉

步态分析

数据链接：

https://figshare.com/articles/dataset/Level_1_-_C3D_files/19718500 数据链接链接失效反馈

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资源简介：

Raw C3D data files, containing ground reaction forces obtained from force platforms and marker positions obtained from motion capture system

创建时间：

2022-11-14

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

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

Table1_An Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor Tasks.DOCX

步态事件检测

步态分析

There is growing interest in the quantification of gait as part of complex motor tasks. This requires gait events (GEs) to be detected under conditions different from straight walking. This study aime

NIAID Data Ecosystem20

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

Gait_Parameters

步态分析

认知负荷与双任务干扰

Gait parameters data extracted from experimental study: 'Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effort'.Please refer to the

NIAID Data Ecosystem50

Average measured results over individual strides during remaining functional tests.

步态分析

运动功能评估

Reported as mean ± standard deviation. Significant differences are highlighted. Abbreviations are as follows: press. (pressure), accel. (acceleration), mag. (magnitude).

Figshare2018-10-22 更新20

Level 1 - C3D files

资源简介：

相关数据集