Samsung Health Data SDK: Unlock Health Data Insights
We are proud to introduce the newly released Samsung Health Data SDK, which is an innovative tool that helps developers to integrate health insights into their applications. The Health Data SDK lets you integrate different data including sleep, activity level, and heart rate. You can provide customized health experiences that ultimately enhance user support, engagement, in-depth analysis, and overall user health based on the data. Learn more about the Samsung Health Data SDK that provides data-driven insights benefiting users throughout their health journey.
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One UI Design Guidelines Updated
Our One UI Design Guidelines for application developers have been updated. The latest design system changes for One UI including changes to Home screen and notifications are included in this update. It also includes application design guidelines and related use cases for providing an optimized user experience for a variety of devices such as Galaxy tablets, Fold, and Flip. Read through the new design guidelines to design your application to be optimized for different devices.
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SDC24 Korea Hosted Online on November 21
Samsung Developer Conference Korea (SDC24 Korea) was successfully held on November 21. Having started with the CTO’s opening speech, the event included keynote speeches from prominent speakers about Samsung Electronics’ achievements in generative AI technology research & development and enhancement of the user experience on software and device platforms.
Over 29 in-depth tech sessions took place as well as some interesting small events. Moreover, the event built on the Samsung Developer Conference 2024 (SDC24) held in the USA on October 3, creating a lively platform for exchange where the participants could learn, share, and connect through a wealth of content. Watch the videos on the official SDC24 website (www.sdc-korea.com).
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Code Lab Highlights from SDC24
At the recently concluded Samsung Developer Conference 2024 (SDC24), one of the standout programs was the Code Lab, where attendees could try different hands-on labs and dive deep into the latest Samsung SDKs and tools. The Code Lab covered a wide range of technologies, including SmartThings, Samsung Health, Samsung Wallet, and Automotive. Check out the Code Lab highlights from SDC24.
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Tutorial: Maintain Galaxy Store Compatibility for Unity Games with Play Asset Delivery (PAD)
The Unity game engine is one of the leading engines for Android game development. It allows developers to take advantage of Android application bundle format features such as Play Asset Delivery (PAD). However, since PAD is exclusive to Google Play, uploading Unity games using PAD to Galaxy Store without any changes may cause various issues.
This tutorial walks you through the implementation of PAD in your Unity Games while maintaining compatibility with the Galaxy Store. It discusses how to implement PAD properly in Unity games and make simple changes to make them compatible with Galaxy Store. The changes required to make existing games compatible with PAD are also covered. Click the link below to learn more.
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SmartThings Product Cloning and Certification by Similarity
SmartThings At SmartThings, we’re committed to making it quick and easy for you to become part of our ecosystem. We are excited to introduce our latest certification features: Product Cloning and Certification by Similarity.
Many smart home device manufacturers have product portfolios across various categories. These products may have different colors, shapes, or differences in specifications by country but are often essentially similar. However, getting them all certified one by one can be time-consuming and costly. Product Cloning and Certification by Similarity were developed to make it easier, faster, and cheaper to obtain the Works with SmartThings certification. Click the link below to learn more.
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Blind Face Video Restoration with Temporally Consistent Generative Prior and Degradation-Aware Prompt
In real-world scenarios, both face images and videos may suffer from various types of degradation, such as downsampling, noise, blur, and compression. Blind Face Restoration (BFR) is a challenging task that aims to restore low-quality face images and videos that suffer from unknown degradation. Existing BFR methods have used facial priors such as reference prior, geometry prior, and generative prior in the network structure to perform restoration. However, they mostly focused on blind face image restoration (BFIR) with still images and have not been fully utilized for video restoration.
In this study, we present a new method called Stable Blind Face Video Restoration (StableBFVR). With StableBFVR, we have introduced temporal layers in the Stable Diffusion model that can preserve temporal consistency. The temporal layers are designed using two core technologies: Shift-Resblock that handles long-term information, and Nearby-Frame Attention that utilizes short-term information. Find out more about StableBFVR and how it performs better than existing methods at the Samsung Research blog.
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SAMSEMO: New Dataset for Multilingual and Multimodal Emotion Recognition
Multimodal emotion recognition, recently gaining popularity, is a study area that analyzes a variety of communication signals including images, voices, and text in a multilateral way. However, the list of large-scale multimodal datasets is very short and the available datasets have various limitations. Hence, Samsung R&D Institute Poland presents a new dataset for multimodal and multilingual emotion recognition: Samsung Multimodal and Multilingual Dataset for Emotion Recognition (SAESEMO).
SAESEMO contains over 23,000 video scenes in 5 languages (Korean, English, German, Spanish, and Polish) collected from diverse sources. All video scenes are accompanied with rich metadata and emotion connotations collected manually. The study also analyzes balance and energy of audio features for the most important emotion classes and compares them with CMU-MOSEI data. Moreover, it carries out multimodal experiments for emotion recognition with SAESEMO and shows how to use a multilingual model to improve the detection of imbalanced classes. Learn more at the Samsung Research blog.
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Technology Innovation towards mmWave Fixed Wireless Access
Fixed Wireless Access (FWA) is expected to drive 5G subscriber growth, with global subscriptions reaching 265 million by 2029. FWA users can consume 20 to 30 times more data compared to regular mobile users, placing a significant strain on the network.
Most existing FWA systems operate in Frequency Range 1 (FR1), meaning frequencies of 6 GHz or below. However, using Frequency Range 2 (FR2), which uses frequencies ranging from 24.25 to 71 GHz, can help improve FWS coverage and data demands. This article discusses key technology innovations that enable improved coverage and capacity for FR2-based FWA systems of 5G and 6G. Learn more at the Samsung Research blog.
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