Hand Node ππ» detection part : used tensorflow mediapipe hands model in real-time webcam in node red
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Updated
Oct 4, 2021 - JavaScript
Hand Node ππ» detection part : used tensorflow mediapipe hands model in real-time webcam in node red
Nodes of node-RED for body/hands motion (Samsung Open Source Pjt)
ML for Medicine - Modules for quantifying the symptoms of XDP
Controlling Streaming Platforms using Eye and Hand Detection.
S Expert Week 7.0 - Controlling Streaming Platforms using Eye and Hand Detection ππ
Controlling Streaming Platforms using Eye and Hand Detection ππ
JS Expert Week 7.0 - no_goodπ€π» Controlling Streaming Platforms using Eye and Hand Detection eyeraised_hand_with_fingers_splayed
ASL Word Guessing Game - Project Program W23
A website with 3 mini-games designed to help children learn while having fun. Hand gestures are detected using TensorFlow.js with image processing to enhance the game experience. The project aims to promote children's personal development through technology.
This is A-Frame component/example for palm tracking in real time.
HAND SIGN RECOGNISER is a Web Application that is a revolution in the space of communication for people who have problems in hearing and speaking. We use the latest technology like Computer Vision predict the Hand Gestures and convert them into text so as to empower the specially abled to do our part for society
Examples from my video about recognizing multiple hand gestures with tensorflowjs and fingerpose
American Sign Language Recognition
JS Expert Week 7.0 - π π€π» Controlling Streaming Platforms using Eye and Hand Detection ππ
Project involving MediaPipe Hand Landmarks technology and our digital interpretation of the ShadowCraft traditional game
Sandbox for experiments with GLSL and Google's Mediapipe, based on Three.js and React.js with Material-UI
SignLanguage is a platform where users can practically learn American Sign Language using machine learning and access videos for over 20,000+ ASL phrases.
JS Expert Max - π π€π» Controlling Streaming Platforms using Eye and Hand Detection ππ
Real-time face and hand landmark detection using Mediapipe in a Next.js application
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