My goal is to build an inference model just like the continuous motion recognition model demonstrated on the Edge Impulse website but for a standard Samsung Galaxy Watch. My background is in data science/Python/ML so the model building step in the middle mostly makes sense but the embedded and EdgeML area is very new to me. First I would like to know if this is a feasible beginner project so would appreciate some advice from the forum!
Here are a couple of questions I feel I need to answer but there are probably questions I haven’t asked because I don’t know what I don’t yet know so by all means feel free to answer questions I should have asked as well.
- How to get the data for training from the watch? I see how I can use my mobile phone to collect and train a model but how do I collect motion and other data sensed by the watch (maybe via the phone) to do the same thing.
- How to deploy a trained model back to the Galaxy Samsung watch for inference?
Any help will be much appreciated!