Real-Time Gesture Tracking for Mobile #MediaPipe #HandLandmark #SignLanguage #MachineLearning #AI #TensorFlow lite @GoogleAI
MediaPipe is an open source framework for processing perceptual data. They recently announced real-time hand tracking for mobile applications. You can imagine the fun that could be had with gesture interpretation (hearts, peace fingers, etc.) as well as more practical applications like sign language interpretation. The pipeline involves a detector model, hand landmark model and the gesture interpreter that classifies gestures:
* A palm detector model (called BlazePalm) that operates on the full image and returns an oriented hand bounding box.
* A hand landmark model that operates on the cropped image region defined by the palm detector and returns high fidelity 3D hand keypoints.
* A gesture recognizer that classifies the previously computed keypoint configuration into a discrete set of gestures.
The hope is that this technology will be used for new and creative solutions in the developer community. If you’d like to learn more about hand tracking with MediaPipe check out their GitHub and hand tracking code base.
Adafruit has had paid day off for voting for our team for years, if you need help getting that going for your organization, let us know – we can share how and why we did this as well as the good results. Here are some resources for voting by mail, voting in person, and some NY resources for our NY based teams as well. If there are additional resources to add, please let us know – adafruit.com/vote
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.