Anyone know of an accelerometer gesture sense that doesn't require tensorflow or other remote AI?

• ReflectionsOS

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  Reflections is a hardware and software platform for building entertaining mobile experiences.

I'm working on my wrist watch project (https://github.com/frankcohen/ReflectionsOS). It has an ESP32-S3, accelerometer, compass, and GPS, no touch screen, no buttons. It's all open-source. I am searching for code to interpret accelerometer data for gestures. Like making a big circle would register as a gesture, or shaking left and right a few inches would register as a gesture. I can't depend on Wifi/Bluetooth networking to a backend service while this is in operation. I could use a Tensor flow or other approach for training while networking is available. What have you seen? Pointers please. Thanks! -Frank

• WorkOS

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  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

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