Case study

Running Motion Capture Dataset

A curated single-participant running gait dataset, including static calibration and running trials at labeled speeds 25/50/75/100 with three repeats each. Exports include c3d marker/analog files, Kistler GRF CSVs, joint angle and velocity text exports, plus camera and session metadata, all captured at 200 Hz.

RoleDataset preparation and biomechanics curation

TimelineLab dataset

FocusBiomechanics Dataset

MOCAP dataset prepGRF export curationJoint angle exportsSession metadata packaging

200 HzCapture rate

4 speeds x 3 repeatsConditions

github.com/MaxwellM34/Running_Motion_Capture_DatasetRepository

The brief

Challenge

Package a usable running gait dataset that other students or researchers can analyze without reverse-engineering missing metadata.

Approach

What we made

Captured a structured single-participant protocol at 200 Hz, exported across c3d, GRF, and joint formats, and documented session metadata explicitly.

200 Hz capture rate with consistent calibration across trials.
Four labeled speeds with three repeats each for repeated-measures work.
Includes c3d, GRF, joint angles, and metadata for downstream analysis.

Outcome

Results

A reusable, multi-format running gait dataset suitable for repeated-measures biomechanics work.

VICON NexusVisual3DKistler force plate

Gallery

Visual snapshots

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