🖐 Memory game with hand gesture recognition that will keep your brain in a good shape!

Hand Gestures for Drone Control Using Deep Learning :fist: :hand: :helicopter: :point_up: :raised_hands:

An application to control media player from distance using hand gestures. It was developed by creating a hand gestures dataset using OpenCV, building a 2D CNN model for feature extraction and classification, and integrating the Keyboard keys to hand gestures using the PyAutoGUI library. whenever a gesture is predicted, the corresponding action is performed on the Media Player. Also, created a user interface using the Streamlit web framework and deployed source files with demo using streamlit.io sharing.

This is project based on opencv and python by which we can control our pc by using hand gestures .

No description provided.

The Virtual Hand Gesture Keyboard is an innovative and interactive project that offers a new way to type using hand gestures. This project leverages computer vision and machine learning techniques to track the user's hand movements and recognize specific gestures, which are then translated into virtual keypresses on the user's computer.

Hand Gesture Recognition for Sign language Detection deployed along a web application that recognizes through which one can translate hand gestures into commands or text using a webcam.

This repository includes a zip file which has the database and a matlab code.

This repository contains a Python-based hand gesture recognition system that allows users to control applications using simple hand gestures. The system leverages the MediaPipe framework for real-time hand tracking and finger counting. Users can interact with their computers hands-free, making it ideal for presentations, media playback, and more.

Home Automation Using Hand-Gesture Recognition.

With the help of OpenCV and Deep Learning CNN algorithm performing some action with hand gesture though webcam like I'm playing chrome browser famous game dinosaur jump. And for CNN model I have collected my own Dataset by capturing 350+ images.

Our research "Fine-grained hand gestures recognition in multi-viewpoints hand hygiene". Oral presentation at IEEE SMC 2021

AI Rock Paper Scissor with hand gesture is an AI based python project in which you can detect hand and fingers and with the help of your fingers co-ordinates you can figure out if it is an rock, paper or scissor sign with the help of this you can play this game with the AI where the AI plays with the player and the scores are given as per who wins the game. you an start the game by pressing ' s ' on the keyboard per time you play.

No description provided.

[SHREC24] Skeleton-based Self-Supervised Learning For Dynamic Hand Gesture Recognition

webxr hands gestures recognition (typescript, three.js)

A virtual mouse controlled by hand gestures using finger points. Implemented using mediapipe and openCV.

Hand Gesture Recognition Deeplearning Model Inference API

Official repository of 3D-Jointsformer for real-time handgesture recognition 👌

Skeleton-based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition

PPT Control Using Hand Gesture is a project that allows you to control PowerPoint presentations using hand gestures. Instead of relying on traditional input devices like a keyboard or mouse, this project leverages computer vision techniques to detect hand gestures and map them to specific presentation commands.

No description provided.

Computer Vision Projects: Face & Hand Tracking

No description provided.

Recognizing Hand Gestures using OpenCV and Python and machine learning algorithms (NN,SVM) to automatize repetetive actions.

This repository is based on Unity and ROS to simulate hand gesture control of Husky mobile robot.

In this project, we have made a web portal where users can perform Sterile browsing.

This repository contains many projects which were implemented by computer engineering students who are from CSE_HCMUT under my supervision.

This Hand gesture recognition project using mediapipe is developed to recognize various hand gestures. The user can custom train any number of various hand gestures to train a model.

Teaching computers to understand sign language! This project uses image processing to recognize hand signs, making technology more inclusive and accessible.