Privacy protections for physical activity in Android 10


Since Google Fit was released in 2015, apps with an abundance of features for health and fitness tracking have integrated with the Google Fit APIs. Over the years, the number of users using Google Fit as a central repository for their fitness and wellness data has grown significantly.



With Android 10, we're making further updates to give users even more control over this personal data. One key change concerns how Android apps can monitor a user’s physical activity and retrieve data from Android sensor APIs and the Google Fit platform.



In Android 10: Activity recognition permission



Android 10 introduces a new runtime permission for activity recognition for apps that make use of the user's step and calorie count or classify the user's physical activity, such as walking, biking, or moving in a vehicle through one of the following APIs:




If your app relies only on raw data from other built-in sensors on the device, such as the accelerometer and gyroscope, you don't need to declare this new permission in your app.



Activity Recognition Permission Enforcement




  • Starting December 2019, data will be restricted from apps not including the Google Play Services legacy activity recognition permission in the manifest. If your app doesn’t currently request this permission, you should add it today to ensure no loss of service for your users.

  • When a user upgrades to Android 10, the system auto-grants this permission to your app if it previously requested the legacy permission.

  • As you begin targeting Android 10, you should register the ACTIVITY_RECOGNITION permission and adopt the new permission model to adhere to the new policy.



Google Fit physical activity APIs



This new permission affects a subset of data types available in the Google Fit APIs on Android. If your app accesses these types from Google Fit today, then you need to update your app inline with the new permissions.



The activity recognition runtime permission is required for accessing the following APIs / data types:




  • RecordingAPI - recording the following data types:


    • com.google.step_count.delta

    • com.google.step_count.cadence

    • com.google.activity.segment

    • com.google.calories.expended



  • HistoryAPI - reading the following data types:


    • com.google.step_count.delta

    • com.google.step_count.cadence

    • com.google.activity.segment

    • com.google.activity.exercise

    • com.google.activity.summary





With Android 10 now launched and SDK 29 becoming your primary development target, now is the time to make sure your apps are compatible with the new runtime permission.



Komentar

Posting Komentar

Postingan populer dari blog ini

Android Neural Networks API 1.3 and PyTorch Mobile support

Gambar
Posted by Oli Gaymond, Product Manager Android Machine Learning On-Device Machine Learning enables cutting edge features to run locally without transmitting data to a server. Processing the data on-device enables lower latency, can improve privacy and allows features to work without connectivity. Achieving the best performance and power efficiency requires taking advantage of all available hardware. Android Neural Networks API 1.3 The Android Neural Networks API (NNAPI) is designed for running computationally intensive operations for machine learning on Android devices. It provides a single set of APIs to benefit from available hardware accelerators including GPUs, DSPs and NPUs. In Android 11, we released Neural Networks API 1.3 adding support for Quality of Service APIs, Memory Domains and expanded quantization support. This release builds on the comprehensive support for over 100 operations, floating point and quantized data types and hardware implementations from partners acro
Baca selengkapnya

Turning it up to 11: Android 11 for developers

Gambar
Posted by Stephanie Cuthbertson, Director, Product Management Android 11 is here! Today we’re pushing the source to the Android Open Source Project (AOSP) and officially releasing the newest version of Android. We built Android 11 with a focus on three themes: a People -centric approach to communication, Controls to let users quickly get to and control all of their smart devices, and Privacy to give users more ways to control how data on devices is shared. Read more in our Keyword post . For developers, Android 11 has a ton of new capabilities. You’ll want to check out conversation notifications, device and media controls, one-time permissions, enhanced 5G support, IME transitions, and so much more. To help you work and develop faster, we also added new tools like compatibility toggles, ADB incremental installs, app exit reasons API, data access auditing API, Kotlin nullability annotations, and many others. We worked to make Android 11 a great release for you, and we can’t wait to se
Baca selengkapnya

Students Learn Android App Development with Google Developer Student Clubs

Gambar
Posted by Erica Hanson , Global Program Manager, Google Developer Student Clubs Google Developer Student Clubs , a program of university based community groups for students interested in Google developer technologies, recently started hosting study groups called Android Study Jams . The goal? Learn Android app development through hands-on codelabs in an online curriculum provided by Google. There are two tracks: one for students who are new to programming, and one for those who already have experience. Interested in participating? Facilitator materials are available for anyone to host Android Study Jams in their community - take a look and get to building. Google Developer Student Clubs are dedicated to helping students learn programming together, among peers, in a fun and interactive setting. While over 50 thousand students from all over the world have participated in these Android workshops, we wanted to highlight the exciting work from groups in Indonesia, Turkey, and Nigeria. F
Baca selengkapnya