Foot shape-function model data

The human foot is a complex structure that plays an important role in our capacity for upright locomotion. Comparisons of our feet to those of our closest extinct and extant relatives have linked shape features (e.g., the longitudinal and transverse arches, heel size and toe length) to specific mechanical functions. However, foot shape varies widely across the human population, so it remains unclear if and how specific shape variants are related to locomotor mechanics. Here we construct a statistical shape-function model (SFM) from 100 healthy participants to directly explore the relationship between the shape and function of our feet. We also examined if we could predict the joint motion and moments occurring within a person’s foot during locomotion based purely on shape features. The SFM revealed that the longitudinal and transverse arches, relative foot proportions and toe shape along with their associated joint mechanics were the most variable. However, each of these only accounted ..., 3D foot scans (PLY files) while bearing minimal weight (mBW) and full body weight (fBW), as well as a MATLAB file containing foot and ankle joint angles and moments from level, incline and decline treadmill walking and running., , # Foot shape-function model data

3D foot scans (PLY files) while bearing minimal weight (mBW) and full body weight (fBW), as well as a MATLAB file containing foot and ankle joint angles and moments from level, incline and decline treadmill walking and running.

## Description of the data and file structure

### 3D foot scans (\~920 MB):

The 3D foot scans, collected while the participant's dominant foot was either bearing minimal weight (mBW) or their full body-weight (fBW), are provided as PLY files.
File names contain the participant's ID, the weight-bearing condition and which foot was scanned (e.g., *045_fBW_R.ply*: a scan of the 45th participant's right foot while bearing full body-weight).
For left-foot dominant participants, the foot scan was reflected about its length axis to be comparable to the feet of right-foot dominant participants. Hence, the filenames for these scans contain *Lr* instead of *R*.

### Joint Kinematics and Kinetics (\~280 MB):

The file *treadmill_data.m...

人类足部是一套复杂的结构，在人类直立行走能力中发挥着关键作用。将人类足部与现存及已灭绝的近缘亲缘物种的足部进行比较后，研究人员已将足部形态特征（例如纵弓、横弓、足跟尺寸与脚趾长度）与特定力学功能建立了关联。然而，人类群体的足部形态差异极大，因此目前仍不清楚特定的形态变异是否与运动力学相关，以及具体的关联方式。本研究从100名健康受试者中构建了统计形态-功能模型（statistical shape-function model, SFM），以直接探究人类足部形态与功能之间的关联。我们还验证了能否仅通过形态特征，预测受试者运动过程中足部内部的关节运动与力矩。该统计形态-功能模型显示，纵弓、横弓、足部相对比例与脚趾形态，及其相关的关节力学特征是变异程度最高的指标。不过，上述各指标仅能解释……

3D足部扫描（PLY格式文件）采集自受试者处于最小负重（mBW）与全身负重（fBW）状态下，同时还提供了包含平地、上坡与下坡跑步机行走及跑步时的足部与踝关节角度、力矩数据的MATLAB文件。

# 足部形态-功能模型数据集

3D足部扫描（PLY格式文件）采集自受试者处于最小负重（mBW）与全身负重（fBW）状态下，同时还提供了包含平地、上坡与下坡跑步机行走及跑步时的足部与踝关节角度、力矩数据的MATLAB文件。

## 数据与文件结构说明

### 3D足部扫描（约920 MB）：
本研究采集了受试者优势足处于最小负重（mBW）或全身负重（fBW）状态下的3D足部扫描数据，以PLY格式文件提供。文件名包含受试者编号、负重状态与扫描足侧（例如*045_fBW_R.ply*：第45名受试者全身负重状态下的右足扫描文件）。对于左利手受试者，其足部扫描数据将沿长轴镜像以适配右利手受试者的足部数据格式，因此此类扫描的文件名中会以*Lr*替代*R*。

### 关节运动学与动力学数据（约280 MB）：
文件*treadmill_data.m...*