Published October 8, 2025 | Version v1
Report Open

Methodological approach: Detection of spatiotemporal parameters from biomechanical and Fitbit data

  • 1. Institute for Research and Applications of Fuzzy Modeling, University of Ostrava
  • 2. ROR icon University of Ostrava

Description

Annotation

This methodical material provides a comprehensive framework for the computation and interpretation of walking and running spatiotemporal parameters derived from consumer-grade wearable technology data (Fitbit Charge 3,4 wristbands) supplemented by the walking and running biomechanical data from the 4HAIE study. The document outlines a methodological approach for sequencing, analysis, and computation of combined data from inertial and optical sensors, focusing on extracting running/walking metrics such as stride length, covered distance, and pace. Particular attention is paid to algorithmic preprocessing, noise filtering, signal segmentation, and validation strategies relative to gold-standard biomechanical and Global Position System data.

Files

Metodika_sustek_urbaczka_fitbit_data_2025-final.pdf

Files (1.3 MB)

Additional details

Related works

Is supplement to
Dataset: https://haie-lerco.cz/data/ (URL)

Funding

European Union
LERCO – Living Environment Research Centre Ostrava CZ.10.03.01/00/22_003/0000003
European Union
Research of Excellence on Digital Technologies and Wellbeing CZ.02.01.01/00/22_008/0004583