DOI: 10.5061/dryad.g4f4qrfwt
title: Foot shape-function model data

description: 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 for small
 proportions of the overall variation in shape, deformation, and joint
 mechanics, most likely due to the high structural complexity of the foot.
 Nevertheless, a leave-one-out analysis showed that the SFM can accurately
 predict joint mechanics of a novel foot, based on its shape and
 deformation.
description: 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: # 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.mat* contains MATLAB structures of the stance
 phase time-normalised joint * angles (IK) and * moments (ID). Each of
 these structures is subdivided into further structures for each
 participant (e.g., *p003*), as well as a structure containing the values
 averaged across all stance phases for each participant (*mean*). The
 participant and mean structures are divided into the various locomotor
 tasks: * running downhill * running level * running uphill * walking
 downhill * walking level * walking uphill These, in turn, each contain a
 matrix of dimensions *101* x *number of stance phases* for each of the
 following joints: * hip * knee * ankle * subtalar * midtarsal *
 tarsometatarsal and * metatarsophalangeal (mtp). A table containing the
 participant information (*info*), including identifier (*ID*), sex
 (*M/F*), height (in cm), weight (in kg) and leg dominance (*Leg*) is also
 contained in this file.