Using this program, you can play or control music by hand gesture. Also you can play a Paper Piano.
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Updated
Aug 1, 2026 - Python
Using this program, you can play or control music by hand gesture. Also you can play a Paper Piano.
Simply write something on air and see what you wrote.
3D Hand Tracking Using Mediapipe and Unity
An AI software application package demonstrating hand landmarks detection use case on STM32N6 product.
Hand tracking and find Hand Landmarks position
六区刷牙识别算法:通过手机前置摄像头定位人脸口部、手部姿态和牙刷位置,先校正镜像画面的左右关系,再以人脸相对坐标判断左上、上前、右上、左下、下前、右下六个刷牙区域。算法融合牙刷头几何定位、局部轻量视觉分类、个人校准和多帧平滑,降低单帧抖动与前区上下误判;识别不确定时保守地不输出,并支持标注采样、CSV 评估与针对性迭代。
✋ Real-time hand gesture classifier using MediaPipe's 21-point skeleton + a linear SVM. Detects Wave & Stop live from webcam — runs natively in Google Colab.
Mediapipe Holistic feature
Real-time sign language gesture recognition using MediaPipe & Keras — recognizes 6 hand gestures live via webcam. Built with Python 3.8.
Flip off your webcam. It texts for you.
Virtual Mouse Application which uses hand gestures to reciprocate mouse functions using opencv, mediapipe and tkinter
Gesture-controlled volume system using OpenCV and hand landmarks.
Real-time sign language recognition using hand landmark detection, deep learning, and computer vision. SignLens extracts hand landmarks, classifies gestures, stabilizes predictions, and converts recognized signs into text and speech.
MediaPipe-inspired TensorRT hand landmark library for NVIDIA GPUs
Real-time hand visualizer that draws rainbow glowing lines between fingertips using a webcam — built with MediaPipe, OpenCV, and NumPy.
Pipeline de extração de landmarks de mãos construído do zero com Álgebra Linear pura, segmentação por cosseno em R³, PCA, Graham Scan, mudança de base ortogonal e imagem integral. Apenas NumPy. Projeto de mestrado em CC.
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.
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