A project on hand detection and hand gesture recognition developed using OpenCV on Python 2.7.

Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python

A guide to using Python and OpenCV2 to create an application that can recognize hand gestures/movements.

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

In this repository I will upload a personal project that use a combination of python script and C# script to create a Unity application with hand tracking and gesture recognition

This project implements real-time hand gesture recognition using Python, OpenCV, and MediaPipe. It tracks hand landmarks from a webcam feed and identifies gestures such as Open Palm, Fist, Thumbs Up/Down, Peace Sign, and more. The system supports both left and right hands and displays detected gestures directly on the video stream.

Real time 3D pose tracking and Hand Gesture Recognition using OpenPose, Python Machine Learning Toolkits, Realsense and Kinect libraries.

:fist: :hand: :v: :point_up: 🖖 A Python hand gesture recognition library for Kinetic User Interface (KUI).

Python uses OpenCV image capture, Mediapipe to realize gesture and human movement detection and recognition; The recognition results are synchronized to Unity in real time to realize the recognition of the moving body structure of hand and character models in Unity

This Python project utilizes the MediaPipe library and OpenCV to perform real-time hand gesture recognition. With this code, you can control your computer's cursor and keyboard using hand gestures.

Hand Gesture Recognition using python.

This project is a simple implementation of a game controller using Python and OpenCV. With this controller, you can control games using hand gestures captured by a webcam. This project is a great way to learn about computer vision, gesture recognition, and game development.

A lightweight and efficient Python-based tool for real-time hand gesture recognition using OpenCV and Mediapipe.

Controls the presentation process using hand gestures.

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Hand Gesture Recognition-opencv

Basic hand gesture recognition programme in python using an open source library OpenCV.

School project mechatronics engineering Universidad Tecnológica de Tijuana. Robotic hand 3D printing, exoskeleton 3D printing, HMI with LabVIEW, arduino DUE, Mediapipe with python for hand gesture recognition

Hands-on computer vision projects exploring face recognition, object tracking, digit classification, and gesture detection using Python and OpenCV.

The project achieves recognition of Indian Sign Language using hand gestures from live video capture. Implemented using Python with OpenCV, TensorFlow and Keras.

This project demonstrates a real-time hand gesture recognition system using Python, OpenCV, and Gemini AI by Google.

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.

Musition: Real-time emotion-driven music recommendations system using AI and deep learning. Automated facial and hand gesture data collection and emotion recognition training, reducing manual work by 50%. Tech stack: Streamlit-WebRTC, OpenCV/MediaPipe, TensorFlow/Keras, NumPy, Python, JavaScript.

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.

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

This repository contains Python scripts that use the MediaPipe library to perform hand detection and gesture recognition using a pre-trained tensorflow model.

The ASL Recognition System is a real‑time American Sign Language (ASL) gesture‑recognition application built with Python, TensorFlow Lite, OpenCV, and MediaPipe. It captures hand landmarks from a webcam, processes them through a lightweight neural network, and instantly translates the gestures into alphabet letters (A‑Z).

Sign Language and Hand-Gesture Recognition in Python

Volume Control using OpenCV | Python This project implements a hand gesture-based volume control system using OpenCV and Python. It detects hand movements via a webcam feed and automatically adjusts the system volume. Perfect for those interested in computer vision and gesture recognition.

🤖 Finger Icon Detection 🤟 A Python project using OpenCV and MediaPipe to track hand gestures in real-time and overlay custom icons above raised fingers (thumb, index, pinky). Perfect for experimenting with hand tracking and gesture recognition.