Pills Adjutant — medication adherence tool for iOS and Android

Pills Adjutant — medication adherence tool for iOS and Android

The DataArt Orange team published a new project — Pills Adjutant. Staying on track with a treatment plan relies a lot on self-management. However, those who have to take medicine often find it difficult to recollect taking a dose at the right time, or even at all. With Pills Adjutant, medication adherence tool for iOS and Android, there is no need to remember. It helps you keep up with your medication schedule utilizing modern wearable devices, such as Apple Watch or similar for Android. See the full description and the screenshots on the project's page. The demo can be provided on request. Also, subscribe to our news below, we'll keep you posted.
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ResearchKit for Developers

The heading on Apple’s ResearchKit page says, ‘Nothing is more important than our health’. With that motto in mind, a new framework was created. The iPhone has now got a new feature, it can be used as a medical research device to help doctors and patients. The ResearchKit framework will be officially available in April and Apple has already published 5 applications (for the U.S. only) supporting it.
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DataArt Orange to integrate its food recognition engine with Apple HealthKit and Voice Recognition

Eat’n’Click is an application developed by DataArt that helps people track the nutritional content of foods they consume. The app automatically tracks calorie information by scanning photographs of food.

Its prototype is available on the App Store and can recognize a number of fruits with more than an 85% success rate. Recently the application was demonstrated by the DataArt team during the Health 2.0 Europe 2014 event in London and was highly appreciated by its participants.

Following industry trends and the high attention Apple HealthKit is receiving, DataArt’s Research Lab decided to move forward by automating the tracking of users’ nutrition habits. DataArt is planning to build a PoC prototype to integrate with Apple HealthKit. Also, we plan to implement a voice recognition engine with it. The aim of DataArt’s Orange R&D initiative is to reduce the gap between humanity and computers. And we strongly believe that this step will be highly effective.

FoodR Slim to be integrated with Apple HealthKit and Voice Recognition
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How To: Integrate Your Heart Rate App with HealthKit API

At the Apple Worldwide Developer Conference earlier this month Apple introduced an app simply called “Health”that promises to become an all-embracing hub for healthcare and fitness applications and wearable devices. It will allow you to store all of your health data and vital signs in one place including your heart rate, blood pressure, blood sugar, sleep patterns, consumed and burnt calories and more. It will also give you control over all of your health apps through one interface. The news inspired our team to integrate our health apps with the HealthKit API to help bring the world one step closer to integrated health data. We started with our Heartbeat Rate application that processes the video stream from your iPhone/ iPod camera to measure heart rate. It analyzes the bluecomponent in the video stream providing reliable results, thus no physical contact is required. (Read more about Heartbeat Rate application.) Here is the recap of how our Heartbeat rate app was integrated with HealthKit API.
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DataArt Orange integrates with Apple HealthKit

Apple HealthKit announcement two days ago was exciting news for all mHealth community and millions of fitness apps users throughout the world. DataArt R&D team recognizes the potential of iOS 8 and all fitness data integration. We already started looking into HealthKit API to integrate our R&D projects with the new hub and ultimately to help establish wearable technology interoperability and health and fitness data interchange.
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DataArt Computer Vision Lab Released Football Clubs Recognizer

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DataArt Research Lab has released its application for football fans that visually identifies football clubs. Football Clubs Recognizer is available on the Apple App Store. In preparation for the 2014 Football World Cup, DataArt Computer Vision experts developed the first version of an application that provides full information about football teams including their place in the standings, roster, list of recent and upcoming matches, information about players, etc. To get information regarding a certain team just point the phone camera at a team logo wherever it may be displayed. The application can successfully recognize logos from screens, newspapers, etc.
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DataArt is Building Face Recognition Application for iOS

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To broaden its professional horizons and get involved into something new, DataArt decided to dive into computer vision area, and to be more accurate, face recognition techniques. Our computer vision group created face recognition app that has access to DataArt employees’ database and could recognize them.
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iOS Sport Application For Football Fans

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DataArt has finished an experimental iOS-based application that visually recognizes UK football clubs by their emblems. The software identifies club emblems shown on a computer or TV screen, printed in a magazine or a newspaper, or even tattooed on a fan’s chest.
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