Gesture recognition - ML on Web with MediaPipe: Episode 3

Ready to add interactive and intuitive gesture controls to your web applications? Discover the power of MediaPipe's Gesture Recognizer task, which allows you to recognize hand gestures in real time and extract valuable information about the detected hands. After this video, you should: - Understand the basics of gesture recognition: Learn how computer vision is used to identify and interpret hand movements. - Explore the MediaPipe Gesture Recognizer task: Discover how this powerful tool can recognize specific hand gestures and provide detailed information about detected hands. - Create gesture-controlled applications: Learn how to integrate gesture recognition into your web projects to create more engaging and interactive user experiences. Whether you're building a gaming app, a creative tool, or simply want to add a unique touch to your website, this tutorial will provide you with the essential knowledge and skills. View available gesture recognition model bundle → https://goo.gle/48DHC7E Try out the gesture recognizer model options in MediaPipe Studio → https://goo.gle/45kgRCc Watch a tutorial on training a custom gesture recognizer using MediaPipe Model Maker → https://goo.gle/48Ic40w Learn more about WebAssembly → https://goo.gle/3tdEa3n View the complete gesture recognition code demo → https://goo.gle/3RFNozE MediaPipe Solutions → https://goo.gle/MediaPipe_Solutions Chapters: 0:00 - Introduction 0:39 - Gesture recognition models 1:44 - Code 5:49 - Wrap up Watch more episodes on Getting Started with MediaPipe for Web → https://goo.gle/MediaPipeforWeb Subscribe to Google for Developers → https://goo.gle/developers #google #ai #dev #googleai #machinelearning #developers #googlefordevelopers #mediapipe #gesturedetection #handgesturerecognition #mediapipesolutions #gesturerecognitionmachinelearning #computervisionprogramming