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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.
Guesture controlled music player. This app uses a collection of computer vision techniques to detect gestures and control a music player. More specifically, it uses skin detection, template matching, object compactness analysis, motion energy analysis to perform gesture detection.
PRiSM Music Gesture Recognition is a software tool for creating musical gesture datasets and real-time recognition of musical gestures based on audio input. It utilizes machine learning techniques to classify and interpret musical gestures, enabling applications in interactive music performance, composition, and more.
Gliss can send a number of different control signals over WiFi, including the orientation (pitch, roll and yaw) of your phone, a multitouch gesture‑detection system on the screen, a number of buttons and sliders, and the ability to send sharp movements such as drum hits.
In this paper, we propose an application of applying hand gesture recognition using Convolutional Neural Network(CNN) for music playback control. Our system begins with live image capturing from a USB camera; subsequently, followed by the initialization, calibration, and motion detection stages.
12 wrz 2016 · This is complemented by a prototype implementation and a survey that provides clues for the development of an intuitive gesture set for expressive music control.
2 lis 2020 · Existing work either focuses on precise 3D finger movement generation required to play an instrument or expressive musical gestures based on 2D video data. In this paper, we propose a...
