Lesson 2: Shape-Based Classification
This Notebook introduces a shape-based (or template-based) approach to gesture recognition and provides the scaffolding for the A3 assignment.
You can view the Notebook in html here but we also strongly recommend working with our Notebooks locally by performing a git clone on
https://github.com/makeabilitylab/signals.git and running the Jupyter Notebook on your system (see installation notes).
In the next lesson, you’ll learn how to build a feature-based gesture recognizer for 3D accelerometer signals using a Support Vector Machine (SVM) and other classification models.
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