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miband5_dev
NateSchoolfield 2021-02-05 13:25:50 -08:00 committed by GitHub
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@ -10,16 +10,16 @@ You will need to create two .txt files in the base directory:
CURRENT STATUS:
Right now the project does not yet fulfill its purpose.
If you execute the project as-is, it will connect to the miband and plot HR and gyroscope data to the screen.
I'm currently working on massaging the returned data to create signals that can be usefully incorporated into a detection algorithm.
Right now the project does not yet fulfill its primary purpose (responding to biometrics).
If executed now, it will:
* Log raw and averaged biometric data to disk
* Vibrate in a random pattern every 30 minutes (adjustable)
GOALS:
* Publish statistics to Google Sheets or other easy-to-use target. I'd like to make this usable by non-technical folks, so S3 buckets and CloudWatch are out of scope.
* Incorporate an LSTM neural network as the detection algorithm. This will require a dedicated "training period", as each user will likely produce different signals.
* Create a GUI dashboard to display sleep statistics and other controls. My vision for the end product is a standalone RasPi device with a 7" touchscreen display.
* Add support for multiple (cheap) fitness trackers. I'd like this work to be usable by low-income folks who can't afford Apple Watches.
* Create a framework to incorporate additional biometrics/signals as they become available. For example, SpO2, galvanic skin response, respiration, BP, etc.
* Create a holistic sleep-tracking interface to provide users the ability to clearly observe the effects of things like changes in routine, medication, diet, etc.