Hand keypoints detections using YoloV8n-pose and OpenCV
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Updated
Jul 21, 2025 - Python
Hand keypoints detections using YoloV8n-pose and OpenCV
🎮 Production-ready real-time Rock-Paper-Scissors gesture recognition system using MediaPipe & OpenCV. Features: instant hand tracking (30+ FPS), 95% accuracy, fuzzy matching, TDD methodology with 95% test coverage. Bilingual (EN/繁中). Perfect for CV learning & interactive apps.
This project presents a deep learning-driven approach for hand gesture recognition in virtual museums using a combinaison of CNN and LSTM.
🖐 An implementation of a machine learning model for detecting and recognizing hand signs (0-5) accurately using Python. The project pipeline involves the following modules: Preprocessing, Feature Extraction, Model selection and training, and finally performance analysis.
Encode and decode hand movements using C# and Kinect. Based on K-means and Hidden Markov Models.
Python mini-games and MCQ quizzes powered by computer vision and hand gesture recognition.
A web application that uses MediaPipe's Hand Tracking solution to detect and recognize hand gestures in real-time through your device's camera.
Computer Vision application to recognize hand-gestures by counting fingers
Interactive 3D motion tracking controlled by hand gestures using MediaPipe and Three.js.
An end2end CNN model for hand gesture recognition
Hand Gesture Recognition Model
Shadow Clone Technique🧑🤝🧑
Paper and code developed during Machine Learning course
Computer Vision project to test hand detection and gesture classification to control IoT devices over the network.
Estimate motion hand gesture using MediaPipe
A Sign Language Learning Platform built with Flask, OpenCV, and AI, enabling users to practice hand signs through real-time camera detection. Supports both offline (SQLite) and online (Firebase) modes with automatic switching.
Real time AI hand pose detection and Gesture recognition app build by using ReactJS and react webcam
A gesture-based smart shopping system built with Python and OpenCV where users add or remove items from a virtual grocery basket through hand gestures captured via webcam enabling touchless, intuitive interaction for modern retail experiences.
hand gesture recognition using opencv
Bài tập lớn Nhập môn Trí tuệ nhân tạo
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