New Phone Sensors, Wear OS and ML Kit modules

This release brings new general utility modules to the AwarNS Framework:

• Phone Sensors: Includes all the missing phone sensors the framework was not yet providing. This includes all the IMU sensors (accelerometer and gyroscope) and the magnetometer sensor.
• WearOS: Provides access to all the standard sensors included in WearOS smartwatches: IMU, magnetometer, geolocation and heart rate.
• ML Kit: Allows loading and incorporating MLP and CNN TensorFlow Lite models in your background workflows to obtain regression- and classifier-based predictions right after a data capture or as a result of another analysis.

We want to thank @matey97 for his commitment and effort in bringing these new features to the AwarNS Framework and making it even more complete.

As a minor feature, this release also brings a new privacy filter to the Geofencing module. Were set up areas of interest can be used to filter the captured locations to just the ones that fall within or in the surroundings of a known area.

What's Changed

• [@awarns/geofencing] Filter locations to the ones close to an area of interest (nearby or inside) by @agonper in #55
• [@awarns/phone-sensors] Add support for accessing phone sensors by @matey97 in #56
• [@awarns/wear-os] Add support for WearOS smartwatches by @matey97 in #58
• [@awarns/ml-kit] Add support for running ml models. by @matey97 in #60

New Contributors

• @matey97 made his first contribution in #56

Full Changelog: v1.0.0...v1.0.0.210922