cff-version: 1.2.0
abstract: "<p>This dataset was collected to study the biomechanics of healthy adults during common Activities of Daily Living (ADLs). Data were acquired simultaneously from three wearable sensing systems:</p><p><br></p><p>- Inertial Measurement Units (IMUs),  Movella MVN Link </p><p>- Pressure insoles, Moticon </p><p>- Force shoes, Xsens ForceShoe </p><p><br></p><p>In total, data from 6 healthy participants were recorded while performing the following movements: </p><p><br></p><p>- Timed Up and Go (TUG) Test</p><p>- Free Walking (FW)</p><p>- Stairs Ascending and Descending (SAD)</p><p>- Treadmill Walking – Slow (TS)</p><p>- Treadmill Walking – Fast (TF)</p><p><br></p><p>This multimodal dataset allows for the development and validation of algorithms for kinematic and kinetic analysis of human motion, with a focus on estimating ground reaction forces (GRF) using wearable sensors.</p>"
authors:
  - family-names: Castellaz
    given-names: Alessandro
    orcid: "https://orcid.org/0009-0004-5890-742X"
  - family-names: Wouda
    given-names: Frank
    orcid: "https://orcid.org/0000-0002-4401-4434"
title: "Dataset for Multi-Sensor Analysis of Kinetics and Kinematics of Healthy Adults during Activities of Daily Living (ADL)"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/3a5923e1-bf6b-4825-bc43-2a73bb7006cd.v1
license: CC BY 4.0
date-released: 2025-09-17