A Hands On Guide to Biomechanics Data Analysis with Python and AI: Companion to Biomechanics Data in Python (AI Mastery Series)

A complete, hands-on guide to biomechanics data analysis using Python, Google Colab, and modern AI tools. Whether you’re a student, clinician, coach, researcher, or engineer, this book gives you a clear, repeatable workflow for turning raw movement-capture files into insight-rich plots, metrics, and reports — all using free or open tools. What makes this book different? It removes the friction. No expensive software, no complex setup, no scattered scripts. You learn a single, practical pipeline: Input → Parse → Analyze → Visualize → Export Every chapter is a mini-project with real examples, runnable Google Colab notebooks, and step-by-step code you can reuse immediately in your own work. You’ll work with C3D, CSV, TRC, OpenSim formats, force-plate data, gait cycles, filtering, event detection, symmetry metrics, and more. Inside you’ll learn how to: Load and inspect C3D, TRC, CSV, and other common biomechanics formats Extract markers, GRFs, metadata, and analog channels using Python Clean and normalize signals (units, filtering, alignment) Detect gait events and compute practical metrics used in real labs Build clear, defensible plots for research, clinics, and coaching Export tidy reports (CSV + HTML) for sharing or publication Use AI tools (e.g., ChatGPT) to speed up code generation and debugging Understand the bridge between MoCap data and musculoskeletal/ML models Who is this for? Biomechanists, physiotherapists, sports scientists, coaches, biomedical engineers, researchers, students, AI/ML beginners in human movement science — and anyone who wants to get usable insights from motion and force data without overcomplicating the process. Why Python & Google Colab? Completely free No installation or setup Cloud-based and shareable Perfect for fast hypotheses and reproducible research Ideal for teams, teaching, and scalable pipelines What you get: 25+ ready-to-run Colab notebooks A full beginner-friendly tour of C3D structure Clean, reusable snippets you’ll use daily Lightweight PoseIQ™ tools for exploring biomechanics data A foundation for machine learning, modeling, and automated workflows If you can open a notebook, you can analyze motion-capture data. This book shows you exactly how. View Less