• Hi @user130273, would you be willing to share your code? I've been able to collect data and train a model using Edge Impulse (if interested, see this tutorial I wrote). This is however using the Bangle gesture commands, but now I'd like to learn how to use raw accelerometer and other data.
    Especially this part is unclear: when I've uploaded a trained model (.tfmodel + .tfnames) to the watch, how can I run inference code on it?

    Edit: Aargh, it should be something in line with the below code that I've seen many times... Still interested to see your code though.

    var model=atob("......");
    
    var tf = require("tensorflow").create(2048, model);
    tf.getInput()[0] = x;
    tf.invoke();
    print(tf.getOutput()[0]);
    
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