In 2020, the Vision Framework introduced Hand Pose Detection, which allows developers to identify hands in the frame, as well as each of the 21 identifiable joints present in the hand. In the past year, our hands have become more important than ever to bring people closer. They shift to adding emphasis and expression. Once we learn to speak, our hands continue to play a role in communication. Babies learn the basics of communication using simple hand movements before they are able to speak. In spite of this complexity, the hand is one of the first tools infants use to interact with the world around them. With over two dozen bones, joints, and muscles, the hand is an engineering marvel. But before we dig into that, let's talk about the hand itself. Today, we're going to be talking about classifying hand positions. And today, I'll be joined by my colleagues, Brittany Weinert and Geppy Parziale. ♪ ♪ Hi, and welcome to "Classify Hand Poses and Actions with Create ML." I'm Nathan Wertman. Have a question? Ask with tag wwdc21-10039.And don't miss “Build dynamic iOS apps with the Create ML framework” to learn how your models can be trained on-the-fly and on device from within your app. To learn more about Create ML and related concepts around model training, check out “Build an Action Classifier with Create ML” from WWDC20. Learn how simple it is to collect data, train a model, and integrate it with Vision, Camera, and ARKit to create a fun, entertaining app experience. Discover how you can build off the support for Hand Pose Detection in Vision and train custom Hand Pose and Hand Action classifiers using the Create ML app and framework. With Create ML, your app's ability to understand the expressiveness of the human hand has never been easier. Classify hand poses and actions with Create ML.
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