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By Samsung Newsroom
The Galaxy Watch has a built-in accelerometer sensor that measures movement or acceleration forces in three dimensions (X,Y, and Z axes). This data is commonly used for tracking movement, detecting gestures, and enabling fitness-related features like sleep tracking, fall detection, step counting, running, and workout tracking.
The accelerometer measures acceleration along three axes:
X-axis: Side-to-side movement.
Y-axis: Forward-and-backward movement.
Z-axis: Up-and-down movement.
Figure 1: Axis directions for the accelerometer sensor
Acceleration is typically measured in meters per second squared (m/s²) or gravity units (g), where 1g = 9.81 m/s².
This article describes how to read accelerometer sensor data from a Galaxy Watch running Wear OS powered by Samsung and also shows the conversion procedure for the raw data.
Environment Setup
Android Studio IDE is used for developing Wear OS applications. The examples in this article use Java, but Kotlin can also be used. Going forward, this article assumes you have already installed the latest Android Studio version on your PC.
Read Accelerometer Data from Galaxy Watch
To get accelerometer data, we need to use Android Sensor APIs from the SensorManager library.
To retrieve accelerometer data from your Galaxy Watch:
Create a new Wear OS project in Android Studio by selecting File > New Project > Wear OS > Empty Activity > Finish. Set the minimum SDK version to API 30 or higher.
Add permission to access the sensor into the manifest file (AndroidManifest.xml):
<uses-feature android:name="android.hardware.sensor.accelerometer" /> You do not need to manually set the runtime permission to access the accelerometer. This permission is granted by default.
Design your preferred layout (.xml file) to show accelerometer data on the Galaxy Watch screen. This example uses three TextViews in a Constraint Layout to show the output of the three axes of the sensor. You can also check the result in the Logcat window in Android Studio. <TextView android:id="@+id/textViewX" android:layout_width="wrap_content" android:layout_height="wrap_content" android:layout_marginTop="8dp" android:text="X" app:layout_constraintEnd_toEndOf="parent" app:layout_constraintHorizontal_bias="0.207" app:layout_constraintStart_toStartOf="parent" app:layout_constraintTop_toBottomOf="@+id/textView2" /> For more detailed code, check the sample application.
Use the SensorManager library and SensorEventListener to read accelerometer data. To implement them: Initialize the SensorManager library globally: private SensorManager sensorManager; To retrieve android.hardware.SensorManager for accessing sensors, you have to use getSystemService(). sensorManager = SensorManager.getSystemService(Context.SENSOR_SERVICE); As our target is the accelerometer sensor specifically, it is set as the default sensor here. It is recommended to always check the sensor availability before using it in the code. The procedure to do so is explained in this guide.
To make the accelerometer the default sensor:
Sensor sensor = sensorManager.getDefaultSensor(Sensor.TYPE_ACCELEROMETER); To get continuous data from your Galaxy Watch, you need to register a listener to notify you if there is new data. This is done using a SensorEeventListener in Android’s Sensor API. sensorManager.registerListener(listener, sensor, SensorManager.SENSOR_DELAY_NORMAL); The listener method onSensorChanged() is called whenever new data is available. The new data is processed in the listener. private SensorEventListener listener = new SensorEventListener() { @Override public void onSensorChanged(SensorEvent sensorEvent) { // for absolute values X = Math.abs(sensorEvent.values[0]); //0 -> X Axis 1-> Y Axis 2 -> Z Axis Y = Math.abs(sensorEvent.values[1]); Z = Math.abs(sensorEvent.values[2]); Log.e("--MainActivityTag--", "X: " + X + "\n" + "Y: " + Y + "\n" + "Z: " + Z); // do whatever you want to do with the data } @Override public void onAccuracyChanged(Sensor sensor, int i) { } }; Here, onAccuracyChanged(Sensor sensor, int i) is a part of the SensorEventListener interface. It is triggered when the accuracy of a sensor changes. However, for the accelerometer, it is called rarely, as the accelerometer data accuracy usually remains constant.
Unregister the listener when the data collection is over. Otherwise, it can cause unusual battery consumption. Test the Code Sample
You can check out the sample app (download it using the link below) and try it out on your Galaxy Watch 4 and later.
AccelerometerDataExample.zip (332.2 KB)
Run the sample project on your Galaxy Watch. You will see the following screen.
Figure 2: Output of the sample project (accelerometer data on Galaxy Watch)
Accelerometer Data Units and Conversion for Galaxy Watch
In the application end, raw accelerometer data from Galaxy Watch is converted into meters per second squared (m/s²).
Equation
raw data * 9.80665 (gravity force) / 4096 (8g rescale)
Example
Assume,
raw_x = raw data received from the sensor
acc_x = accelerometer data in application end
if raw_x = 100
acc_x = 100 * 9.80665 / 4096
After this, acc_x is received by the application, containing the Acceleration value in m/s².
Convert the Data into G-Force Units
The conversion from m/s² to g is: 1 / 9.80665
So 1 m/s² =0.10197g
Information about the Accelerometer Sensor
The accelerometer provides the 3 axis values separately. The sampling rate of the accelerometer is usually a multiple of 50 Hz, but 100 Hz is also supported. The range of the accelerometer is +- 8G. Sampling rate:
#Maximum Delay: https://developer.android.com/reference/android/hardware/Sensor#getMaxDelay() // 160 msec
#Minimum Delay: https://developer.android.com/reference/android/hardware/Sensor#getMinDelay() // 10 msec It is always recommended to read calibrated data to avoid unnecessary noise. To get the result in g-force units, you need to divide the accelerometer values by 4096 (along every axis). It is recommended to use a filter while reading any sensor data. Make sure to always unregister the listener and stop all the services after using. Failure to do so can cause excessive battery drain. There are some restrictions of using background services for Galaxy Watch. Conclusion
For a Galaxy Watch running Wear OS powered by Samsung, accelerometer data is widely used in fitness tracking, fall detection, gesture recognition and motion analysis. Moreover, data conversion enables precise tracking for applications.
In this article, we’ve seen one of the ways of reading accelerometer sensor data on a Galaxy Watch running Wear OS powered by Samsung. You can also read sensor data using the Samsung Health Sensor SDK. For more details on Samsung Health, check here.
If you have any questions about or need help with the information in this article, you can reach out to us on the Samsung Developers Forum or contact us through Developer Support.
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By Samsung Newsroom
March 2025 New Revenue Share Model for Galaxy Store
From May 15, 2025, Galaxy Store will introduce a new, developer-friendly revenue share model. Developers and publishers of paid games, applications, themes, and in-app items (both consumable and non-consumable) will earn 80% of the sales proceeds generated through the Galaxy Store, with Samsung retaining 20%. For subscriptions, the revenue share will be 85% for developers and 15% for Samsung. Get ready to boost your revenue potential with Galaxy Store!
Visit the Samsung Developer Portal for more details on these exciting changes. Samsung Health Data SDK 1.0.0.b2 Has Been Released!
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*Data types supported: Body composition, blood glucose, blood pressure, heart rate, nutrition, water intake
Learn More [MWC 2025] Explore AI-Powered Innovation in Mobile, Health, Home, and Networks with Samsung
Samsung Electronics stole the spotlight at Mobile World Congress (MWC) 2025, held in Barcelona and opening on March 3 (local time.) Samsung showcased new AI-powered mobile experiences and next-generation network solutions centered around the Galaxy S25 series. Visitors experienced Galaxy's vision for the future, through a dedicated Galaxy S25 zone featuring AI, camera, and gaming experiences, as well as AI-customized healthcare and smart home solutions. Samsung also shared advancements in security, sustainability, and network innovation technologies.
Discover more about the AI-driven mobile innovations and connected experiences unveiled at MWC 2025 at the Samsung Electronics Newsroom.
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One UI 7 provides an intuitive UX and options for personalized settings. For added convenience, the Now Bar provides personalized, real-time updates directly on the lock screen. Additional AI features, including AI Select, Writing Assist, Audio Eraser, and Drawing Assist, have been added for a more intuitive experience.
Adjusting preferences is now easier. Users can simply navigate to Settings, tap the magnifying glass icon, and say, “My eyes are feeling tired.” Recommended options like adjusting brightness or enabling Eye Comfort Shield instantly appear. The update rollout begins in Korea and will gradually expand to global markets. Learn more in the Samsung Electronics Newsroom.
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Learn More Philips Hue Uses New Developer Tools for WWST Certification
SmartThings is excited to announce that Philips Hue has certified 155 lighting products as “Works with SmartThings!” As a leader in smart lighting, Philips Hue continues to expand consumer choices by introducing more connected lighting products, showcased directly in the SmartThings application and website. Leveraging tools like Certification by Similarity in the Developer Center, Philips Hue efficiently certified their entire product lineup.
Read more
Interested in certifying your products with SmartThings? Fill out this form to learn more and reach over 380 million users worldwide. Samsung Receives 58 Accolades at iF Design Awards 2025
Samsung Electronics is pleased to announce it has received a total of 58 awards at the International Forum (iF) Design Awards 2025, a prestigious German international design competition, including two Gold Awards.
"Ballie," an AI companion robot for the home, and "BOJAGI," an advanced concept package design for small portable projectors, were presented with Gold Awards. The 58 awards span various design and product categories, including the Bespoke AI Laundry Combo, Galaxy Ring, Neo QLED 8K, UX/UI, and service design.
Samsung Electronics announced its commitment to continuing to lead the customer experience with AI-driven innovation and sustainable design, striving to provide designs that harmonize with consumers’ evolving lifestyles and contribute to society and consumers lives.
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FaceMe from Samsung Research is a technology that restores high-quality facial images from low-quality sources while preserving identity consistency. It utilizes the CLIP image encoder and the ArcFace facial recognition module to extract identity features from a reference image, and uses them as a prompt for the diffusion model to enhance the restoration’s performance. The training is conducted in phases using ControlNet and ID encoder modules, and wavelet-based color correction is applied for a final, natural-looking restoration. FaceMe does not require additional training for personalized restoration. Using a variety of reference images, this is a new approach that overcomes limitations of existing face restoration technologies. Find out more about FaceMe and its proven identity consistency, restoration quality, and high speed in the Samsung Research blog.
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By Samsung Newsroom
Today, Samsung is announcing a new revenue share model for Galaxy Store, increasing the current revenue share of 70/30 to 80/20 for developers and publishers.
Starting May 15, 2025 (GMT+0), developers and publishers of paid games, apps, and consumable and non-consumable in-app items using Samsung Checkout will start receiving 80% of the net sales proceeds* generated and received through Galaxy Store, while Samsung will retain 20%. For subscription services, the revenue share model will be 85% / 15%.
For all developers and publishers who are currently publishing an app on Galaxy Store and obtained certification via the Galaxy Store Seller Portal, no action is required to start benefiting from this higher revenue share. Unless you have a custom agreement, Samsung will automatically apply the new revenue share terms on May 15, 2025 (GMT+0). If you have a custom agreement with Samsung, you will not be impacted by this change and the terms of the custom agreement will continue to apply.
FAQ
Q: When will I start receiving the new increased revenue?
A: The new revenue share model will start on May 15, 2025 (GMT+0).
Q: Will purchases made today in Galaxy Store be affected?
A: Purchases made in Galaxy Store before May 15, 2025 (GMT+0), will continue at the current 70/30 revenue share model.
Q: Will there be any other changes in the calculation of the revenue share?
A: No. Before distributing your revenue share, Samsung will deduct the same customary fees from the total revenue such as sales tax, bank fees and other cost as provided in the Galaxy Store Seller Portal Terms and Conditions.
Q: I have a custom agreement with Samsung. Will this change affect the agreement?
A: No, if you have a custom agreement you will not be impacted. If you are interested in moving to the new revenue share model, please contact your Samsung account manager.
Q: What apps will benefit from the new revenue share model?
A: All paid apps, including games and themes, as well as consumable and non-consumable in-app items will benefit from the new 80/20 revenue share model.
Developers of subscription services (where recurring payment is made by users) will receive a higher revenue share based on an 85/15 revenue share model.
Q: What do I need to do to receive my increased revenue share?
A: If you have accepted Samsung Galaxy Store Seller Portal Terms and Conditions, then no action is necessary. Samsung will automatically update your revenue share to the new terms on May 15, 2025 (GMT+0). If you have a custom agreement, you will not be impacted by this change. If you are interested in moving to the new revenue share model, please contact your Samsung account manager.
For further inquiries, please reach out to [email protected].
*Subject to the deduction of customary sales tax and other fees.
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By Samsung Newsroom
February 2025 Certify your Matter Products with SmartThings – Fast & Easy
Showcase your Matter products to over 380 million SmartThings users. Getting Works with SmartThings (WWST) certification is easier than ever. Our Developer Center offers many tools to help you certify, including Test Suite. Leverage the Test Suite to easily test your products; many products can even be self-tested without sending them to a lab. Once certified, you can display your products in the SmartThings application and on our website and unlock opportunities for co-marketing.
Want to learn more? Fill out this form, and we’ll share more details on certifying your Matter products with SmartThings. Samsung Mobile Advance Applications Are Now Open!
Call for innovators: Applications for our Samsung Mobile Advance Startup Incubation Program are now open. Turn your idea into reality with our 6-month Proof-of-Concept project with Samsung. Visit us for more information.
Learn More Simple yet Impactful: Emulator Skins for the Galaxy S25 Series are Now Available
The latest Galaxy emulator skins have been designed specifically for the Galaxy S25 lineup, allowing you to bring the premium look and feel of Samsung’s newest flagship devices to your Android application development. These sleek skins showcase the stunning design, rounded display, and bold style of the Galaxy S25 series. Building applications has never been easier. Download the emulator skins today and start creating applications that truly stand out.
Download Tutorial: Elevate Your Watch Face with Stunning Weather Forecast Features
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The Samsung Tizen TV SDK v9.0.0 is now available! This SDK provides a suite of tools to help you start developing applications for the Tizen TV platform, including an IDE, a lightweight TV simulator for testing web applications, and a TV emulator. Download the new Samsung Tizen TV SDK now from the Samsung Developer Portal and start developing today.
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To address this, Samsung Research proposes an AI-based One-Sided CSI Feedback method. This approach applies a deep learning model solely at the base station, reducing feedback overhead and protecting data privacy. This solution enables operation without collaboration among vendors. Learn more about the innovative potential of AI-based CSI feedback on the Samsung Research blog.
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With the Samsung Galaxy S24 Plus models adopted as the Reference Devices for the FiRa 3.0 Certification Program, Samsung Electronics will demonstrate strong interoperability with devices featuring enhanced UWB chipsets. Learn more about the advancements in the UWB technology ecosystem and UWB Core Specification 3.0 certification program, both of which Samsung Electronics are actively involved in.
Learn More Samsung Instant Plays: Off-Policy Selection for Optimizing Advert Display Timing in Mobile Games
Samsung Instant Plays is a mobile application that gives users instant access to free games that can be played without installation. The application generates revenue by displaying adverts to users during gameplay. However, displaying adverts too often can lead to user churn, while displaying them too infrequently can result in revenue loss. Therefore, having a strategy for advert delivery timing is crucial.
To address this, Samsung R&D Institute Poland has adopted an Off-Policy Selection (OPS) method. OPS aims to select the best policy available from a set of policies trained using Offline Reinforcement Learning, remedying the reliability issues in the existing Off-Policy Evaluation (OPE) methods. Find out more about optimizing advert delivery timing using OPS and its results on the Samsung Research blog.
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Dev Insight Jan 2025: Unveiling Invites to "Galaxy Unpacked 2025" Ushering in a New Era of Mobile AIBy Samsung Newsroom
January 2025 Unveiling Invites to "Galaxy Unpacked 2025" Ushering in a New Era of Mobile AI
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Learn More Highlights from the CES 2025 Samsung Press Conference
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Users can now reactivate their canceled subscription in Galaxy Store using the resubscribe feature. Even if there is a problem with the payment when renewing a subscription, the subscription is not canceled if the problem is resolved during the set grace period. If the developer activates the grace period feature in the item settings of Galaxy Store's Seller Portal, the system automatically retries the payment and sends the information about the failed automatic payment to the user so that they can change their payment method.
Developers can also see new information in the subscription API and ISN services, such as the subscription API's response parameters and ISN service events. Manage your subscriptions more effectively using these new features. Tutorial: Manage the Purchase/Subscription of Digital Items with Samsung In-App Purchases
The hassle of managing digital item purchases and subscriptions is no more! Samsung in-app purchase (IAP) is a powerful tool that provides a more secure and convenient payment environment for users and expands commercialization opportunities for developers. This tutorial covers how to smoothly and efficiently implement item purchase/consumption processing and subscription management. A step-by-step guide and practical code examples are used to walk developers through the complex API integration process even if they're just starting out. Check out the tutorial on the Samsung Developer Portal.
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The tutorial covers how to set up server notifications, how to receive notifications to a Spring server, and how to securely verify the received notifications. Learn how to monitor the status of cards in Samsung Wallet in real time.
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In particular, at the Silicon Valley Future Wireless Summit held in November 2024, Samsung Electronics demonstrated the results of the AI-RAN PoC to global communications providers, the first in the industry to do so. The technology indicated a possibility to greatly improve data throughput, communication coverage, and energy efficiency compared to the existing 5G RAN. It also proved the convergence of communications and AI could significantly enhance network performance. Learn more about Samsung Electronics' AI-RAN technology that goes beyond the boundary of communications and creates smarter networks with AI.
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Samsung Research is conducting a study on how to implement the TEE technology on RISC-V-based microcontrollers (MCU), an open-source hardware architecture, and has introduced mTower, a core project related to this study. Learn more about stronger security for IoT devices on the Samsung Research blog.
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