Kinematics vs. kinetics, without the fog
A plain-language guide to what each category describes, why students mix them up, and how to connect the distinction back to the movement on screen.
Read the guideLearning library
Biomechanics and computer vision, explained clearly.
This journal is built for students, educators, and researchers who want better movement-analysis literacy: clearer biomechanics concepts, better recording habits, and a more careful understanding of what video-derived signals can and cannot tell you.
Foundational biomechanics topics for reading signals with less confusion
Computer vision concepts that explain where the model gets its estimates
Recording and teaching guidance tied to real video-analysis workflows
Start here
Choose the topic that matches what you want to understand first.
You do not need to read everything in order. Start with the question you have today, then move deeper once the foundations are clear.
Biomechanics basics
Kinematics, kinetics, and signal interpretation
Use these guides when you want a cleaner mental model of what the plotted variables actually describe.
Start with the fundamentals
Computer vision
Landmarks, visibility, model fit, and estimation
These articles explain how pixels become tracked motion and why that matters for confidence and interpretation.
Learn the pipeline
Teaching and recording
Use the app better in class, lab, or early research
Find practical guidance on camera setup, classroom prompts, and using one signal well instead of everything at once.
Browse workflows
Biomechanics fundamentals
Build the concepts before you trust the graph.
These guides help readers understand the difference between what a variable represents, what a model estimates, and what a good interpretation actually sounds like.
How to read exported biomechanics signals without overclaiming
Use the source clip, the overlay, and the plotted signal together so a clean curve does not get mistaken for perfect certainty.
Read the guideComputer vision and capture quality
Understand what the model sees before you decide what the output means.
Movement analysis from video depends on visible landmarks, sensible framing, and model fit. These articles explain the parts of the pipeline that usually stay hidden.
How computer vision turns pixels into movement data
Landmarks, segmentation, visibility, world coordinates, and model fitting all shape the final signal. This article walks through that chain clearly.
Read the guideChoosing a camera angle the model can actually use
Better framing and clearer views often improve interpretation more than any amount of post hoc guesswork.
Read the guideTeaching and workflow
Turn movement analysis into a better lab, lesson, or discussion.
These resources focus on how to structure a class session, pick a workable movement question, and use the app without overwhelming the learner.
How to run a video-based biomechanics lab
Use a narrower question, a visible model fit, and one interpretable signal to help students move from observation to evidence without getting lost in noise.
- Start with one question instead of a giant dashboard.
- Use the fitted overlay to judge whether the signal deserves trust.
- Have students export one image or CSV and explain the peak in plain language.
Open the analyzer when you want to test an idea.
The journal is here to build understanding. The app is there when you want to load a clip, inspect the overlay, and connect the concept back to a real movement.