👍 Hand Gesture Recognition And Cross-Platform API Built With Mediapipe.

FG 2024 Papers: Explore a comprehensive collection of research papers presented at one of the premier conferences on automatic face and gesture recognition. Seamlessly integrate code implementations for better understanding. ⭐ Experience the cutting edge of progress in facial analysis, gesture recognition, and biometrics with this repository!

This is an innovative project on hand gesture recognition using machine learning techniques to control media playback functions. The project utilizes the MediaPipe framework for real-time hand detection and tracking, along with pyautogui and pycaw libraries for controlling keyboard, mouse, and audio functions. They provide Real-Time Processing.

Hand Gesture Recognition is a significant area of research in Human-Computer Interaction (HCI) technology. This project demonstrates the development of a real-time Hand Gesture Recognizer using the MediaPipe framework, TensorFlow, and OpenCV in Python.

Real-Time Hand Gesture-Driven 3D Object Manipulation

A Machine Learning model that will be able to classify the various hand gestures used for finger spelling in sign language

A simple Unity project demonstrating how to perform object detection with yolox using Sentis.

This Python script utilizes OpenCV and MediaPipe to create a hand gesture recognition game. The game detects hand gestures captured through a webcam feed and prompts the user to mimic a randomized sequence of hand signs. It evaluates the user's performance based on the accuracy and speed of their gesture reproductions.

This repository contains labs and tutorials on Convolutional Graph Networks (GCNs).

A complete MataLab laboratory for training and evaluating EMG HGR RL DQN and DDQN models.

Repository for MEGURU (Meta Workstations Project) of Vis4Mechs

Detects Gestures using Keras Model

CNN + LSTM for hand gesture recognition with BGT60TR13C FMCW radar

A volume and brightness controller using hand gestures is a user interface technology that enables individuals to control the volume of audio output and the brightness of a display through hand movements, without the need for physical touch or traditional input devices. The system typically involves using a camera or sensor to capture hand gestures

Machine learning code implemented for hand gesture recognition using EMG data from the Ninapro db1 database. https://drive.google.com/file/d/1vHzUKKFz1ifAaLOw91Sb41zo3zN5qRJl/view?usp=sharing

This repository contains code for a real-time hand gesture recognition system using MediaPipe and OpenCV. The project enables users to control music playback by detecting hand gestures captured through a webcam.

(SANKET) A Cross-platform App that translates Any Sign language gestures into text or voice in real-time, making communication more accessible and inclusive for specially-abled people.

Developing a pipeline for Hand Gesture Recognition