Tag Archives: Location

Introducing Android Q Beta

Posted by Dave Burke, VP of Engineering

In 2019, mobile innovation is stronger than ever, with new technologies from 5G to edge to edge displays and even foldable screens. Android is right at the center of this innovation cycle, and thanks to the broad ecosystem of partners across billions of devices, Android's helping push the boundaries of hardware and software bringing new experiences and capabilities to users.

As the mobile ecosystem evolves, Android is focused on helping users take advantage of the latest innovations, while making sure users' security and privacy are always a top priority. Building on top of efforts like Google Play Protect and runtime permissions, Android Q brings a number of additional privacy and security features for users, as well as enhancements for foldables, new APIs for connectivity, new media codecs and camera capabilities, NNAPI extensions, Vulkan 1.1 support, faster app startup, and more.

Today we're releasing Beta 1 of Android Q for early adopters and a preview SDK for developers. You can get started with Beta 1 today by enrolling any Pixel device (including the original Pixel and Pixel XL, which we've extended support for by popular demand!) Please let us know what you think! Read on for a taste of what's in Android Q, and we'll see you at Google I/O in May when we'll have even more to share.

Building on top of privacy protections in Android

Android was designed with security and privacy at the center. As Android has matured, we've added a wide range of features to protect users, like file-based encryption, OS controls requiring apps to request permission before accessing sensitive resources, locking down camera/mic background access, lockdown mode, encrypted backups, Google Play Protect (which scans over 50 billion apps a day to identify potentially harmful apps and remove them), and much more. In Android Q, we've made even more enhancements to protect our users. Many of these enhancements are part of our work in Project Strobe.

Giving users more control over location

With Android Q, the OS helps users have more control over when apps can get location. As in prior versions of the OS, apps can only get location once the app has asked you for permission, and you have granted it.

One thing that's particularly sensitive is apps' access to location while the app is not in use (in the background). Android Q enables users to give apps permission to see their location never, only when the app is in use (running), or all the time (when in the background).

For example, an app asking for a user's location for food delivery makes sense and the user may want to grant it the ability to do that. But since the app may not need location outside of when it's currently in use, the user may not want to grant that access. Android Q now offers this greater level of control. Read the developer guide for details on how to adapt your app for this new control. Look for more user-centric improvements to come in upcoming Betas. At the same time, our goal is to be very sensitive to always give developers as much notice and support as possible with these changes.

More privacy protections in Android Q

Beyond changes to location, we're making further updates to ensure transparency, give users control, and secure personal data.

In Android Q, the OS gives users even more control over apps, controlling access to shared files. Users will be able to control apps' access to the Photos and Videos or the Audio collections via new runtime permissions. For Downloads, apps must use the system file picker, which allows the user to decide which Download files the app can access. For developers, there are changes to how your apps can use shared areas on external storage. Make sure to read the Scoped Storage changes for details.

We've also seen that users (and developers!) get upset when an app unexpectedly jumps into the foreground and takes over focus. To reduce these interruptions, Android Q will prevent apps from launching an Activity while in the background. If your app is in the background and needs to get the user's attention quickly -- such as for incoming calls or alarms -- you can use a high-priority notification and provide a full-screen intent. See the documentation for more information.

We're limiting access to non-resettable device identifiers, including device IMEI, serial number, and similar identifiers. Read the best practices to help you choose the right identifiers for your use case, and see the details here. We're also randomizing the device's MAC address when connected to different Wi-Fi networks by default -- a setting that was optional in Android 9 Pie.

We are bringing these changes to you early, so you can have as much time as possible to prepare. We've also worked hard to provide developers detailed information up front, we recommend reviewing the detailed docs on the privacy changes and getting started with testing right away.

New ways to engage users

In Android Q, we're enabling new ways to bring users into your apps and streamlining the experience as they transition from other apps.

Foldables and innovative new screens

Foldable devices have opened up some innovative experiences and use-cases. To help your apps to take advantage of these and other large-screen devices, we've made a number of improvements in Android Q, including changes to onResume and onPause to support multi-resume and notify your app when it has focus. We've also changed how the resizeableActivity manifest attribute works, to help you manage how your app is displayed on foldable and large screens. To you get started building and testing on these new devices, we've been hard at work updating the Android Emulator to support multiple-display type switching -- more details coming soon!

Sharing shortcuts

When a user wants to share content like a photo with someone in another app, the process should be fast. In Android Q we're making this quicker and easier with Sharing Shortcuts, which let users jump directly into another app to share content. Developers can publish share targets that launch a specific activity in their apps with content attached, and these are shown to users in the share UI. Because they're published in advance, the share UI can load instantly when launched.

The Sharing Shortcuts mechanism is similar to how App Shortcuts works, so we've expanded the ShortcutInfo API to make the integration of both features easier. This new API is also supported in the new ShareTarget AndroidX library. This allows apps to use the new functionality, while allowing pre-Q devices to work using Direct Share. You can find an early sample app with source code here.

Settings Panels

You can now also show key system settings directly in the context of your app, through a new Settings Panel API, which takes advantage of the Slices feature that we introduced in Android 9 Pie.

A settings panel is a floating UI that you invoke from your app to show system settings that users might need, such as internet connectivity, NFC, and audio volume. For example, a browser could display a panel with connectivity settings like Airplane Mode, Wi-Fi (including nearby networks), and Mobile Data. There's no need to leave the app; users can manage settings as needed from the panel. To display a settings panel, just fire an intent with one of the new Settings.Panel actions.

Connectivity

In Android Q, we've extended what your apps can do with Android's connectivity stack and added new connectivity APIs.

Connectivity permissions, privacy, and security

Most of our APIs for scanning networks already require COARSE location permission, but in Android Q, for Bluetooth, Cellular and Wi-Fi, we're increasing the protection around those APIs by requiring the FINE location permission instead. If your app only needs to make peer-to-peer connections or suggest networks, check out the improved Wi-Fi APIs below -- they simplify connections and do not require location permission.

In addition to the randomized MAC addresses that Android Q provides when connected to different Wi-Fi networks, we're adding new Wi-Fi standard support, WP3 and OWE, to improve security for home and work networks as well as open/public networks.

Improved peer-to-peer and internet connectivity

In Android Q we refactored the Wi-Fi stack to improve privacy and performance, but also to improve common use-cases like managing IoT devices and suggesting internet connections -- without requiring the location permission.

The network connection APIs make it easier to manage IoT devices over local Wi-Fi, for peer-to-peer functions like configuring, downloading, or printing. Apps initiate connection requests indirectly by specifying preferred SSIDs & BSSIDs as WiFiNetworkSpecifiers. The platform handles the Wi-Fi scanning itself and displays matching networks in a Wi-Fi Picker. When the user chooses, the platform sets up the connection automatically.

The network suggestion APIs let apps surface preferred Wi-Fi networks to the user for internet connectivity. Apps initiate connections indirectly by providing a ranked list of networks and credentials as WifiNetworkSuggestions. The platform will seamlessly connect based on past performance when in range of those networks.

Wi-Fi performance mode

You can now request adaptive Wi-Fi in Android Q by enabling high performance and low latency modes. These will be of great benefit where low latency is important to the user experience, such as real-time gaming, active voice calls, and similar use-cases.

To use the new performance modes, call WifiManager.WifiLock.createWifiLock() with WIFI_MODE_FULL_LOW_LATENCY or WIFI_MODE_FULL_HIGH_PERF. In these modes, the platform works with the device firmware to meet the requirement with lowest power consumption.

Camera, media, graphics

Dynamic depth format for photos

Many cameras on mobile devices can simulate narrow depth of field by blurring the foreground or background relative to the subject. They capture depth metadata for various points in the image and apply a static blur to the image, after which they discard the depth metadata.

Starting in Android Q, apps can request a Dynamic Depth image which consists of a JPEG, XMP metadata related to depth related elements, and a depth and confidence map embedded in the same file on devices that advertise support.

Requesting a JPEG + Dynamic Depth image makes it possible for you to offer specialized blurs and bokeh options in your app. You can even use the data to create 3D images or support AR photography use-cases in the future. We're making Dynamic Depth an open format for the ecosystem, and we're working with our device-maker partners to make it available across devices running Android Q and later.

With Dynamic Depth image you can offer specialized blurs and bokeh options in your app.

New audio and video codecs

Android Q introduces support for the open source video codec AV1. This allows media providers to stream high quality video content to Android devices using less bandwidth. In addition, Android Q supports audio encoding using Opus - a codec optimized for speech and music streaming, and HDR10+ for high dynamic range video on devices that support it.

The MediaCodecInfo API introduces an easier way to determine the video rendering capabilities of an Android device. For any given codec, you can obtain a list of supported sizes and frame rates using VideoCodecCapabilities.getSupportedPerformancePoints(). This allows you to pick the best quality video content to render on any given device.

Native MIDI API

For apps that perform their audio processing in C++, Android Q introduces a native MIDI API to communicate with MIDI devices through the NDK. This API allows MIDI data to be retrieved inside an audio callback using a non-blocking read, enabling low latency processing of MIDI messages. Give it a try with the sample app and source code here.

ANGLE on Vulkan

To enable more consistency for game and graphics developers, we are working towards a standard, updateable OpenGL driver for all devices built on Vulkan. In Android Q we're adding experimental support for ANGLE on top of Vulkan on Android devices. ANGLE is a graphics abstraction layer designed for high-performance OpenGL compatibility across implementations. Through ANGLE, the many apps and games using OpenGL ES can take advantage of the performance and stability of Vulkan and benefit from a consistent, vendor-independent implementation of ES on Android devices. In Android Q, we're planning to support OpenGL ES 2.0, with ES 3.0 next on our roadmap.

We'll expand the implementation with more OpenGL functionality, bug fixes, and performance optimizations. See the docs for details on the current ANGLE support in Android, how to use it, and our plans moving forward. You can start testing with our initial support by opting-in through developer options in Settings. Give it a try today!

Vulkan everywhere

We're continuing to expand the impact of Vulkan on Android, our implementation of the low-overhead, cross-platform API for high-performance 3D graphics. Our goal is to make Vulkan on Android a broadly supported and consistent developer API for graphics. We're working together with our device manufacturer partners to make Vulkan 1.1 a requirement on all 64-bit devices running Android Q and higher, and a recommendation for all 32-bit devices. Going forward, this will help provide a uniform high-performance graphics API for apps and games to use.

Neural Networks API 1.2

Since introducing the Neural Networks API (NNAPI) in 2017, we've continued to expand the number of operations supported and improve existing functionality. In Android Q, we've added 60 new ops including ARGMAX, ARGMIN, quantized LSTM, alongside a range of performance optimisations. This lays the foundation for accelerating a much greater range of models -- such as those for object detection and image segmentation. We are working with hardware vendors and popular machine learning frameworks such as TensorFlow to optimize and roll out support for NNAPI 1.2.

Strengthening Android's Foundations

ART performance

Android Q introduces several new improvements to the ART runtime which help apps start faster and consume less memory, without requiring any work from developers.

Since Android Nougat, ART has offered Profile Guided Optimization (PGO), which speeds app startup over time by identifying and precompiling frequently executed parts of your code. To help with initial app startup, Google Play is now delivering cloud-based profiles along with APKs. These are anonymized, aggregate ART profiles that let ART pre-compile parts of your app even before it's run, giving a significant jump-start to the overall optimization process. Cloud-based profiles benefit all apps and they're already available to devices running Android P and higher.

We're also continuing to make improvements in ART itself. For example, in Android Q we've optimized the Zygote process by starting your app's process earlier and moving it to a security container, so it's ready to launch immediately. We're storing more information in the app's heap image, such as classes, and using threading to load the image faster. We're also adding Generational Garbage Collection to ART's Concurrent Copying (CC) Garbage Collector. Generational CC is more efficient as it collects young-generation objects separately, incurring much lower cost as compared to full-heap GC, while still reclaiming a good amount of space. This makes garbage collection overall more efficient in terms of time and CPU, reducing jank and helping apps run better on lower-end devices.

Security for apps

BiometricPrompt is our unified authentication framework to support biometrics at a system level. In Android Q we're extending support for passive authentication methods such as face, and adding implicit and explicit authentication flows. In the explicit flow, the user must explicitly confirm the transaction in the TEE during the authentication. The implicit flow is designed for a lighter-weight alternative for transactions with passive authentication. We've also improved the fallback for device credentials when needed.

Android Q adds support for TLS 1.3, a major revision to the TLS standard that includes performance benefits and enhanced security. Our benchmarks indicate that secure connections can be established as much as 40% faster with TLS 1.3 compared to TLS 1.2. TLS 1.3 is enabled by default for all TLS connections. See the docs for details.

Compatibility through public APIs

Another thing we all care about is ensuring that apps run smoothly as the OS changes and evolves. Apps using non-SDK APIs risk crashes for users and emergency rollouts for developers. In Android Q we're continuing our long-term effort begun in Android P to move apps toward only using public APIs. We know that moving your app away from non-SDK APIs will take time, so we're giving you advance notice.

In Android Q we're restricting access to more non-SDK interfaces and asking you to use the public equivalents instead. To help you make the transition and prevent your apps from breaking, we're enabling the restrictions only when your app is targeting Android Q. We'll continue adding public alternative APIs based on your requests; in cases where there is no public API that meets your use case, please let us know.

It's important to test your apps for uses of non-SDK interfaces. We recommend using the StrictMode method detectNonSdkApiUsage() to warn when your app accesses non-SDK APIs via reflection or JNI. Even if the APIs are exempted (grey-listed) at this time, it's best to plan for the future and eliminate their use to reduce compatibility issues. For more details on the restrictions in Android Q, see the developer guide.

Modern Android

We're expanding our efforts to have all apps take full advantage of the security and performance features in the latest version of Android. Later this year, Google Play will require you to set your app's targetSdkVersion to 28 (Android 9 Pie) in new apps and updates. In line with these changes, Android Q will warn users with a dialog when they first run an app that targets a platform earlier than API level 23 (Android Marshmallow). Here's a checklist of resources to help you migrate your app.

We're also moving the ecosystem toward readiness for 64-bit devices. Later this year, Google Play will require 64-bit support in all apps. If your app uses native SDKs or libraries, keep in mind that you'll need to provide 64-bit compliant versions of those SDKs or libraries. See the developer guide for details on how to get ready.

Get started with Android Q Beta

With important privacy features that are likely to affect your apps, we recommend getting started with testing right away. In particular, you'll want to enable and test with Android Q storage changes, new location permission states, restrictions on background app launch, and restrictions on device identifiers. See the privacy documentation for details.

To get started, just install your current app from Google Play onto a device or Android Virtual Device running Android Q Beta and work through the user flows. The app should run and look great, and handle the Android Q behavior changes for all apps properly. If you find issues, we recommend fixing them in the current app, without changing your targeting level. Take a look at the migration guide for steps and a recommended timeline.

Next, update your app's targetSdkVersion to 'Q' as soon as possible. This lets you test your app with all of the privacy and security features in Android Q, as well as any other behavior changes for apps targeting Q.

Explore the new features and APIs

When you're ready, dive into Android Q and learn about the new features and APIs you can use in your apps. Take a look at the API diff report, the Android Q Beta API reference, and developer guides as a starting point. Also, on the Android Q Beta developer site, you'll find release notes and support resources for reporting issues.

To build with Android Q, download the Android Q Beta SDK and tools into Android Studio 3.3 or higher, and follow these instructions to configure your environment. If you want the latest fixes for Android Q related changes, we recommend you use Android Studio 3.5 or higher.

How do I get Android Q Beta?

It's easy - you can enroll here to get Android Q Beta updates over-the-air, on any Pixel device (and this year we're supporting all three generations of Pixel -- Pixel 3, Pixel 2, and even the original Pixel!). Downloadable system images for those devices are also available. If you don't have a Pixel device, you can use the Android Emulator, and download the latest emulator system images via the SDK Manager in Android Studio.

We plan to update the preview system images and SDK regularly throughout the preview. We'll have more features to share as the Beta program moves forward.

As always, your feedback is critical, so please let us know what you think — the sooner we hear from you, the more of your feedback we can integrate. When you find issues, please report them here. We have separate hotlists for filing platform issues, app compatibility issues, and third-party SDK issues.

GNSS Analysis Tools from Google

Posted by Frank van Diggelen, Software Engineer

Last year in Android Nougat, we introduced APIs for retrieving Global Navigation Satellite System (GNSS) Raw measurements from Android devices. This past week, we publicly released GNSS Analysis Tools to process and analyze these measurements.

Android powers over 2 billion devices, and Android phones are made by many different manufacturers. The primary intent of these tools is to enable device manufacturers to see in detail how well the GNSS receivers are working in each particular device design, and thus improve the design and GNSS performance in their devices. However, with the tools publicly available, there is also significant value to the research and app developer community.

How to use the tool

The GNSS Analysis Tool is a desktop application that takes in raw the GNSS Measurements logged from your Android device as input.

This desktop application provides interactive plots, organized into three columns showing the behavior of the RF, Clock, and Measurements. This data allows you to see the behavior of the GNSS receiver in great detail, including receiver clock offset and drift to the order of 1 nanosecond and 1 ppb and measurement errors on a satellite-by-satellite basis. This allows you to do sophisticated analysis at a level that, until now, was almost inaccessible to anyone but the chip manufacturers themselves.

The tools support multi-constellation (GPS, GLONASS, Galileo, BeiDou and QZSS) and multi-frequency. The image below shows the satellite locations for L1, L5, E1 and E5 signals tracked by a dual frequency chip.

The tools provide an interactive control screen from which you can manipulate the plots, shown below. From this control screen, you can change the background color, enable the Menu Bars for printing or saving, and select specific satellites for the plots.

Receiver test report

The tools also provide automatic test reports of receivers. Click "Make Report" to automatically create the test report. The report evaluates the API implementation, Received Signal, Clock behavior, and Measurement accuracy. In each case it will report PASS or FAIL based on the performance against known good benchmarks. This test report is primarily meant for the device manufacturers to use as they iterate on the design and implementation of a new device. A sample report is shown below.

Our goal with providing these Analysis Tools is to empower device manufacturers, researchers, and developers with data and knowledge to make Android even better for our customers. You can visit the GNSS Measurement site to learn more and download this application.

Reduce friction with the new Location APIs

Posted by Aaron Stacy, Software Engineer, Google Play services

The 11.0.0 release of the Google Play services SDK includes a new way to access LocationServices. The new APIs do not require your app to manually manage a connection to Google Play services through a GoogleApiClient. This reduces boilerplate and common pitfalls in your app.

Read more below, or head straight to the updated location samples on GitHub.

Why not use GoogleApiClient?

The LocationServices APIs allow you to access device location, set up geofences, prompt the user to enable location on the device and more. In order to access these services, the app must connect to Google Play services, which can involve error-prone connection logic. For example, can you spot the crash in the app below?

Note: we'll assume our app has the ACCESS_FINE_LOCATION permission, which is required to get the user's exact location using the LocationServices APIs.

public class MainActivity extends AppCompatActivity implements
        GoogleApiClient.OnConnectionFailedListener {

  @Override
  public void onCreate(@Nullable Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);

    GoogleApiClient client = new GoogleApiClient.Builder(this)
        .enableAutoManage(this, this)
        .addApi(LocationServices.API)
        .build();
    client.connect();

    PendingResult result = 
         LocationServices.FusedLocationApi.requestLocationUpdates(
                 client, LocationRequest.create(), pendingIntent);

    result.setResultCallback(new ResultCallback() {
      @Override
      public void onResult(@NonNull Status status) {
        Log.d(TAG, "Result: " + status.getStatusMessage());
      }
    });
  }

  // ...
}

If you pointed to the requestLocationUpdates() call, you're right! That call throws an IllegalStateException, since the GoogleApiClient is has not yet connected. The call to connect() is asynchronous.

While the code above looks like it should work, it's missing a ConnectionCallbacks argument to the GoogleApiClient builder. The call to request location updates should only be made after the onConnected callback has fired:

public class MainActivity extends AppCompatActivity implements 
        GoogleApiClient.OnConnectionFailedListener,
        GoogleApiClient.ConnectionCallbacks {

  private GoogleApiClient client;

  @Override
  protected void onCreate(@Nullable Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);

    client = new GoogleApiClient.Builder(this)
        .enableAutoManage(this, this)
        .addApi(LocationServices.API)
        .addConnectionCallbacks(this)
        .build();

    client.connect();
  }

  @Override
  public void onConnected(@Nullable Bundle bundle) {
    PendingResult result = 
            LocationServices.FusedLocationApi.requestLocationUpdates(
                    client, LocationRequest.create(), pendingIntent);
    
    result.setResultCallback(new ResultCallback() {
      @Override
      public void onResult(@NonNull Status status) {
        Log.d(TAG, "Result: " + status.getStatusMessage());
      }
    });
  }

  // ...
}

Now the code works, but it's not ideal for a few reasons:

  • It would be hard to refactor into shared classes if, for instance, you wanted to access Location Services in multiple activities.
  • The app connects optimistically in onCreate even if Location Services are not needed until later (for example, after user input).
  • It does not handle the case where the app fails to connect to Google Play services.
  • There is a lot of boilerplate connection logic before getting started with location updates.

A better developer experience

The new LocationServices APIs are much simpler and will make your code less error prone. The connection logic is handled automatically, and you only need to attach a single completion listener:

public class MainActivity extends AppCompatActivity {

  @Override
  protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);

    FusedLocationProviderClient client =
            LocationServices.getFusedLocationProviderClient(this);

    client.requestLocationUpdates(LocationRequest.create(), pendingIntent)
        .addOnCompleteListener(new OnCompleteListener() {
          @Override
          public void onComplete(@NonNull Task task) {
            Log.d("MainActivity", "Result: " + task.getResult());
          }
        });
  }
}

The new API immediately improves the code in a few ways:

  • The API calls automatically wait for the service connection to be established, which removes the need to wait for onConnected before making requests.
  • It uses the Task API which makes it easier to compose asynchronous operations.
  • The code is self-contained and could easily be moved into a shared utility class or similar.
  • You don't need to understand the underlying connection process to start coding.

What happened to all of the callbacks?

The new API will automatically resolve certain connection failures for you, so you don't need to write code that for things like prompting the user to update Google Play services. Rather than exposing connection failures globally in the onConnectionFailed method, connection problems will fail the Task with an ApiException:

    client.requestLocationUpdates(LocationRequest.create(), pendingIntent)
        .addOnFailureListener(new OnFailureListener() {
          @Override
          public void onFailure(@NonNull Exception e) {
            if (e instanceof ApiException) {
              Log.w(TAG, ((ApiException) e).getStatusMessage());
            } else {
              Log.w(TAG, e.getMessage());
            }
          }
        });

Try it for yourself

Try the new LocationServices APIs out for yourself in your own app or head over to the android-play-location samples on GitHub and see more examples of how the new clients reduce boilerplate and simplify logic.

Fitness Apps on Android Wear

Posted by Joshua Gordon, Developer Advocate

Go for a run, improve your game, and explore the great outdoors with Android Wear! Developers are creating a diverse array of fitness apps that provide everything from pace and heart rate while running, to golf tips on your favorite course, to trail maps for hiking. Let’s take a look features of the open and flexible Wear platform they use to create great user experiences.

Always-on stats

If your app supports always-on, you’ll never have to touch or twist your watch to activate the display. Running and want to see your pace? Glance at your wrist and it’s there! Runtastic, Endomondo, and MapMyRun use always-on to keep your stats visible, even in ambient mode. When it’s time for golf, I use Golfshot. Likewise, Golfshot uses always-on to continuously show yardage to the hole, so I never have to drop my club. Check out the doc, DevByte, and code sample to learn more.

Runtastic automatically transitions to ambient mode to conserve battery. There, it reduces the frequency at which stats are updated to about once per 10 seconds.

Maps, routes, and markers

It's encouraging to see how much ground I’ve covered when I go for a run or ride! Using the Maps API, you can show users their route, position, and place markers on the map they can tap to see more info you provide. All of this functionality is available to you using the same Maps API you’ve already worked with on Android. Check out the doc, DevByte, code sample, and blog post to learn more.

Endomondo tracks your route while your run. You can pan and zoom the map.

Google Fit

Google Fit is an open platform designed to make it easier to write fitness apps. It provides APIs to help with many common tasks. For example, you can use the Recording API to estimate how many steps the user has taken and how many calories they've burned. You can make that data to your app via the History API, and even access it over the web via REST, without having to write your own backend. Now, Google Fit can store data from a wide variety of exercises, from running to weightlifting. Check out the DevByte and code samples to learn more.

Bluetooth Low Energy: pair with your watch

With the latest release of Android Wear, developers can now pair BLE devices directly with the Wearable. This is a great opportunity for all fitness apps -- and especially for running -- where carrying both a phone and the Wearable can be problematic. Imagine if your users could pair their heart rate straps or bicycle cadence sensors directly to their Wear device, and leave their phones at home. BLE is now supported by all Wear devices, and is supported by Google Fit. To learn more about it, check out this guide and DevByte.

Pack light with onboard GPS

When I’m running, carrying both a phone and a wearable can be a bit much. If you’re using an Android Wear device that supports onboard GPS, you can leave your phone at home! Since not all Wear devices have an onboard GPS sensor, you can use the FusedLocationProviderApi to seamlessly retrieve GPS coordinates from the phone if not available on the wearable. Check out this handy guide for more about detecting location on Wear.

RunKeeper supports onboard GPS if it’s available on your Wearable.

Sync data transparently

When I’m back home and ready for more details on my activity, I can see them by opening the app on my phone. My favorite fitness apps transparently sync data between my Wearable and phone. To learn more about syncing data between devices, watch this DevByte on the DataLayer API.

Next Steps

Android Wear gives you the tools and training you need to create exceptional fitness apps. To get started on yours, visit developer.android.com/wear and join the discussion at g.co/androidweardev.

There’s a lot to explore with Google Play services 7.3

Posted by Ian Lake, Developer Advocate

Today, we’re excited to give you new tools to build better apps with the rollout of Google Play services 7.3. With new Android Wear APIs, the addition of nutrition data to Google Fit, improvements to retrieving the user’s activity and location, and better support for optional APIs, there’s a lot to explore in this release.

Android Wear

Google Play services 7.3 extends the Android Wear network by enabling you to connect multiple Wear devices to a single mobile device.

While the DataApi will automatically sync DataItems across all nodes in the Wear network, the directed nature of the MessageApi is faced with new challenges. What node do you send a message to when the NodeApi starts showing multiple nodes from getConnectedNodes()? This is exactly the use case for the new CapabilityApi, which allows different nodes to advertise that they provide a specific functionality (say, the phone node being able to download images from the internet). This allows you to replace a generic NodeListener with a more specific CapabilityListener, getting only connection results and a list of nodes that have the specific functionality you need. We’ve updated the Sending and Receiving Messages training to explore this new functionality.

Another new addition for Android Wear is the ChannelApi, which provides a bidirectional data connection between two nodes. While assets are the best way to efficiently add binary data to the data layer for synchronization to all devices, this API focuses on sending larger binary data directly between specific nodes. This comes in two forms: sending full files via the sendFile() method (perfect for later offline access) or opening an OutputStream to stream real time binary data. We hope this offers a flexible, low level API to complement the DataApi and MessageApi.

We’ve updated our samples with these changes in mind so go check them out here!

Google Fit

Google Fit makes building fitness apps easier with fitness specific APIs on retrieving sensor data like current location and speed, collecting and storing activity data in Google Fit’s open platform, and automatically aggregating that data into a single view of the user’s fitness data.

To make it even easier to retrieve up-to-date information, Google Play Services 7.3 adds a new method to the HistoryApi: readDailyTotal(). This automatically aggregates data for a given DataType from midnight on the current day through now, giving you a single DataPoint. For TYPE_STEP_COUNT_DELTA, this method does not require any authentication, making it possible to retrieve the current number of steps for today from any application whether on mobile devices or on Android Wear - great for watch faces!

Google Fit is also augmenting its existing data types with granular nutrition information, including protein, fat, cholesterol, and more. By leveraging these details about the user’s diet, developers can help users stay more informed about their health and fitness.

Location

LocationRequest is the heart of the FusedLocationProviderApi, encapsulating the type and frequency of location information you’d like to receive. An important, but small change to LocationRequest is the addition of a maximum wait time for location updates via setMaxWaitTime(). By using a value at least two times larger than the requested interval, the system can batch location updates together, reducing battery usage and, on some devices, actually improving location accuracy.

For any ongoing location requests, it is important to know that you will continue to get good location data back. The SettingsApi is still incredibly useful for confirming that user settings are optimal before you put in a LocationRequest, however, it isn’t the best approach for continual monitoring. For that, you can use the new LocationCallback class in place of your existing LocationListener to receive LocationAvailability updates in addition to location updates, giving you a simple callback whenever settings might have changed which will affect the current set of LocationRequests. You can also use FusedLocationProviderApi’s getLocationAvailability() to retrieve the current state on demand.

Connecting to Google Play services

One of the biggest benefits of GoogleApiClient is that it provides a single connection state, whether you are connecting to a single API or multiple APIs. However, this made it hard to work with APIs that might not be available on all devices, such as the Wearable API. This release makes it much easier to work with APIs that may not always be available with the addition of an addApiIfAvailable() method ensuring that unavailable APIs do not hold up the connection process. The current state for each API can then be retrieved via getConnectionResult(), giving you a way to check at runtime whether an API is available and connected.

While GoogleApiClient’s connection process already takes care of checking for Google Play services availability, if you are not using GoogleApiClient, you’ll find many of the static utility methods in GooglePlayServicesUtil such as isGooglePlayServicesAvailable() have now been moved to the singleton GoogleApiAvailability class. We hope the move away from static methods helps you when writing tests, ensuring your application can properly handle any error cases.

SDK is now available!

Google Play services 7.3 is now available: get started with updated SDK now!

To learn more about Google Play services and the APIs available to you through it, visit the Google Play services section on the Android Developer site.

Google Play services 7.0 – Places Everyone!

Posted by Ian Lake, Developer Advocate

Today, we’re bringing you new tools to build better apps with the rollout of Google Play services 7.0. With this release, we’re delivering improvements to location settings experiences, a brand new API for place information, new fitness data, automatic integration of AdMob and Google Analytics, Google Play Games, and more.

Location Settings Dialog

While the FusedLocationProviderApi combines multiple sensors to give you the optimal location, the accuracy of the location your app receives still depends greatly on what settings are enabled on the device (e.g. GPS, wifi, airplane mode, etc). In Google Play services 7.0, we’re introducing a standard mechanism to check that the necessary location settings are enabled for a given LocationRequest to succeed. If there are possible improvements, you can display a one touch control for the user to change their settings without leaving your app.

This API provides a great opportunity to make for a much better user experience, particularly if location information is critical to the user experience of your app such as was the case with Google Maps when they integrated the Location Settings dialog and saw a dramatic increase in the number of users in a good location state.

Places API

Location can be so much more than a latitude and longitude: the new Places API makes it easy to get details from Google’s database of places and businesses. The built-in place picker makes it easy for the user to pick their current place and provides all the relevant place details including name, address, phone number, website, and more.

If you prefer to provide your own UI, the getCurrentPlace() API returns places directly around the user’s current location. Autocomplete predictions are also provided to allow a low latency search experience directly within your app.

You can also manually add places with the addPlace() API and report that the user is at a particular place, ensuring that even the most explorative users can input and share their favorite new places.

The Places API will also be available cross-platform: in a few days, you’ll be able to apply for the Places API for iOS beta program to ensure a great and consistent user experience across mobile platforms.

Google Fit

Google Fit makes building fitness apps easier with fitness specific APIs on retrieving sensor data like current location and speed, collecting and storing activity data in Google Fit’s open platform, and automatically aggregating that data into a single view of the user’s fitness data.

In Google Play services 7.0, the previous Fitness.API that you passed into your GoogleApiClient has now been replaced with a number of APIs, matching the high level set of Google Fit Android APIs:

  • SENSORS_API to access raw sensor data via SensorsApi
  • RECORDING_API to record data via RecordingApi
  • HISTORY_API for inserting, deleting, or reading data via HistoryApi
  • SESSIONS_API for managing sessions via SessionsApi
  • BLE_API to interact with Bluetooth Low Energy devices via BleApi
  • CONFIG_API to access custom data types and settings for Google Fit via ConfigApi

This change significantly reduces the memory requirement for Google Fit enabled apps running in the background. Like always, apps built on previous versions of Google Play services will continue to work, but we strongly suggest you rebuild your Google Fit enabled apps to take advantage of this change.

Having all the data can be an empowering part of making meaningful changes and Google Fit is augmenting their existing data types with the addition of body fat percentage and sleep data.

Google Mobile Ads

We’ve found integration of AdMob and Google Analytics a powerful combination for analyzing how your users really use your app since we launched Google Analytics in AdMob last year. This new release enables any Google Mobile Ads SDK implementation to automatically get Google Analytics integration giving you the number of users and sessions, session duration, operating systems, device models, geography, and automatic screen reporting without any additional development work.

In addition, we’ve made numerous improvements across the SDK including ad request prefetching (saving battery usage and improving apparent latency) and making the SDK MRAIDv2 compliant.

Google Play Games

Announced at Game Developers Conference (GDC), we’re offering new tools to supercharge your games on Google Play. Included in Google Play services 7.0 is the Nearby Connections API, allowing games to seamlessly connect smartphones and tablets as second-screen controls to the game running on your TV.

App Indexing

App Indexing lets Google index apps just like websites, enabling Google search results to deep-link directly into your native app. We've simplified the App Indexing API to make this integration even easier for you by combining the existing view()/viewEnd() and action()/end() flows into a single start() and end() API.

Changes to GoogleApiClient

GoogleApiClient serves as the common entry point for accessing Google APIs. For this release, we’ve made retrieval of Google OAuth 2.0 tokens part of GoogleApiClient, making it much easier to request server auth codes to access Google APIs.

SDK Coming Soon!

We will be rolling out Google Play services 7.0 over the next few days. Expect an update to this blog post, published documentation, and the availability of the SDK once the rollout is completed.

To learn more about Google Play services and the APIs available to you through it, visit the Google Services section on the Android Developer site.