Popular GitHub Repositories for Gesture Recognition

A toolbox for skeleton-based action recognition.

Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

HAnd Gesture Recognition Image Dataset

Lazyeat 吃饭时看剧/刷网页不想沾油手？ 对着摄像头比划手势就能暂停视频/全屏/切换视频！Lazyeat is a touch-free controller for use while eating! Don't want greasy hands while watching shows or browsing the web during meals? You can pause videos/full screen/switch videos just by gesturing to the camera!

Simple project to recognize hands in realtime. ? Serves as an Example for building your own object recognizer.

Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.

Slovo: Russian Sign Language Dataset and Models

GIMLeT – Gestural Interaction Machine Learning Toolkit

Domain Adaption for sEMG-based Gesture Recognition with Recurrent Neural Networks

Real-time translation of Pakistan sign language into text and speech using OpenPose and Machine Learning

Custom gesture recognition with the Myo Armband by implementing scikit-learn machine learning models

This project offers a versatile platform for hand-related tasks, including dataset generation and custom hand gesture detection using Google's MediaPipe library and accelerated real-time sign language translation with LLMs on edge devices.

An example application using CoreML on iOS with TouchDesigner.

A facial and gesture recognition authentication system

Data augmentation for stroke gestures

Touchless control for your PC applications. Gesture recognition for hands-free computing.

It is an artificially intelligent system which we develop by using Machine learning and Deep Learning.

Reasearch Hyperparameter Tuning for enhance score Gesture Recognition with VGGNet16 Convolusional Neural Network