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  • Georgia State University
  • Atlanta, GA

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yesiam0225/README.md

Yeon-Joo Kang

PhD candidate in Kinesiology (Biomechanics) at Georgia State University.

I study the biomechanics of walking, balance, and dynamic stability — including obstacle crossing and postural control across adult and pediatric populations. The repositories here are the analysis tools I built for my dissertation work: processing 3D motion-capture and force-plate data into gait events, joint kinematics, and stability measures.

Analysis tools (obstacle-crossing gait pipeline)

These three run as a pipeline: marker-label → gait-spatiotemporal → gait-mos-kinematics.

  • marker-label — Rule-based marker labeling and gap filling for motion-capture C3D files using subject-specific static trials. Includes a 3D QC viewer.
  • gait-spatiotemporal — Pelvis-independent gait event detection (heel-strike vs toe-strike) and spatiotemporal parameters for obstacle-crossing trials.
  • gait-mos-kinematics — Sagittal-plane joint kinematics and margin-of-stability (MoS) analysis, with SPM-ready ensemble output.

Dissertation analysis archive

  • previous-analysis — Python (Jupyter) notebooks documenting my PhD analytical workflow: spatiotemporal parameters, joint kinematics, COP balance, and margin of stability.
  • previous-r-analysis — R statistical pipeline (hierarchical linear modeling, mixed ANOVA, ANCOVA) — the inferential-statistics counterpart to previous-analysis.

Background

  • Georgia State University, Department of Kinesiology and Health
  • Research focus: gait, postural control, dynamic stability; adult and pediatric populations including infants with Down syndrome
  • Tools: Python, R, Vicon Nexus

Contact

Pinned Loading

  1. gait-mos-kinematics gait-mos-kinematics Public

    Sagittal-plane joint kinematics and margin-of-stability (MoS) analysis for obstacle-crossing gait, with SPM-ready ensemble output.

    Python 1

  2. gait-spatiotemporal gait-spatiotemporal Public

    Pelvis-independent gait event detection and spatiotemporal parameters from 3D motion capture of obstacle-crossing trials.

    Python 1

  3. marker-label marker-label Public

    Automatic marker labeling and gap filling for motion-capture C3D files using subject-specific static trials.

    Python 1

  4. previous-analysis previous-analysis Public

    Jupyter notebook archive of my PhD biomechanics analysis workflow (spatiotemporal, joint kinematics, balance).

    Jupyter Notebook

  5. previous-r-analysis previous-r-analysis Public

    R statistical pipeline (hierarchical linear modeling, mixed ANOVA, ANCOVA) for my PhD biomechanics research.

    R