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

Academic course work project serving the sign language translator with custom made capability

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.

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.

Naruto Hand Gesture Recognition with OpenCV and Transfer Learning

It implements detection and recognition to different hand gestures, based on OpenCV 3.3.0 (Open Source Computer Vision Library)

A powerful real-time AI-driven hand gesture recognition and game control system built using OpenCV, MediaPipe, PyAutoGUI, and custom gesture-classification algorithms. This project enables users to control PC games using hand gestures, removing the need for a keyboard or controller.

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.

Hand Gesture Recognition using CNNs and Perceptrons in realtime (OpenCV)

GestureX is an OpenCV-based hand motion sensing system for intuitive, efficient user control.This project aims to investigate the potential of creating a vision-based gesture recognition system using OpenCV to accurately and efficiently recognize hand gestures for computer control.

Hand recognition and count number of fingers .

Hand Gesture Recognition-opencv

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

No description available

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.

GestureX is an OpenCV-based hand motion sensing system for intuitive, efficient user control.This project aims to investigate the potential of creating a vision-based gesture recognition system using OpenCV to accurately and efficiently recognize hand gestures for computer control.

Real-time ASL interpreter using OpenCV and TensorFlow/Keras for hand gesture recognition. Features custom hand tracking, image preprocessing, and gesture classification to translate American Sign Language into text and speech output. Built with accessibility in mind.

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.

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.

Bit.studio Internship Hand Gesture Recognition using MediaPipe, OpenCV, and Machine Learning

Detect hand signs with OpenCV: a computer vision project for gesture recognition. Identify and interpret gestures in images or videos, perfect for applications like sign language recognition and gesture-based interfaces

Hand Gesture Recognition with OpenCV & MediaPipe

generate training data, train and classify a deep learning model for hand gesture recognition

Completed by me in April 2024, during my fourth semester in the MS in Data Science program as the Final Research Project. Reviewed 20 papers, tackling hand gesture recognition limitations with MediaPipe's pre-trained models, boosting accuracy and real-time performance over CNN methods. This project received an O grade, scoring 97 out of 100 points.

Control your Spotify app based on hand gesture recognition🎶 The application was developed using pyQT, Recurrent Neural Networks (used to classify gestures) and OpenCV.