Machine Learning with TensorFlow (before ML5.js)
supported in v2.1.0^

Collecting Data

The sensor data from the motor can be collected and used to train a Neural Network. The data can be stored for lated used or exported.

Initializing and Training a Model

The basic settings of the model can be adjusted to improve the output of the model. The model can be stored for later use or exported.

Classifying Data

When the model has been trained with the data, the interactions with the motor can be classified using predefined labels.
Filters are not working yet. More features will be added to explore with machine learning in haptic and shape changing interfaces.
ml5js window