Scientific Data (Nov 2024)

Foot kinematics and kinetics data for different static foot posture collected using a multi-segment foot model

  • Enrique Sanchis-Sales,
  • Joaquín L. Sancho-Bru,
  • Alba Roda-Sales,
  • MaJosé Chiva-Miralles,
  • Carmen García-Gomáriz

DOI
https://doi.org/10.1038/s41597-024-04166-3
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

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Abstract This dataset presents human foot joints kinematics and kinetics data during walking, classified by static foot posture, filling a gap in existing lower limb databases that lack data on foot joints beyond the ankle or on static posture data, despite its link to foot and lower limb pathologies. Kinematics were recorded using a three-dimensional mocap system, and kinetics through a pressure platform, employing a multi-segment foot model including the ankle, midtarsal and first metatarsophalangeal joint. The dataset contains 350 recordings of right foot joint angles and moments and contact pressures from 70 healthy subjects with varying static posture (highly pronated, highly supinated and normal). Data were collected at 100 Hz, filtered and resampled to 100 frames throughout the stance phase. Descriptive data are also provided: age, weight, height, BMI and foot anthropometric data and foot posture index. Plots, tables and ANOVAs are included for validation. Presented in .xlsx and .mat formats, this database can assist professionals in corrective footwear design, insole customization, surgical planning, and evaluating interventions on foot dynamics.