gesture-recognition

Linux multi-touch gesture recognizer

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

gesture recognition toolkit

Enhance your application with the ability to see and interact with humans using any RGB camera.

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

A simple Fingers Detection (or Gesture Recognition) using OpenCV and Python with background substraction 简单手势识别

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

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

We present MocapNET2, 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 Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

✋ Recognizing "Hand Gestures" using OpenCV and Python.

Unified learning approach for egocentric hand gesture recognition and fingertip detection

Script to handle touch input (including gestures). It also translates mouse input to touch input.

Multimodal Gesture Recognition Using 3D Convolution and Convolutional LSTM

HTML5 Pac-Man game with gesture recognition

MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。（Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points.）

Intel Realsense Toolkit for Hand tracking and Gestural Recognition on Unity3D

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

resources about Gesture Recognition

Gesture Recognition For Human-Robot Interaction with modelling, training, analysing and recognising gestures based on computer vision and machine learning techniques. This work was done at Distributed Artificial Intelligence Lab (DAI Labor), Berlin.

Implementation of CVPR 2020 paper "MMTM: Multimodal Transfer Module for CNN Fusion"

Detects Chinese traffic police commanding poses 检测中国交警指挥手势

A computer vision based gesture detection system that automatically detects the number of fingers as a hand gesture and enables you to control simple button pressing games using you hand gestures.

learn how to use Gesture Control to change the volume of a computer

Add touch gesture-like hand gestures in your app; based on Handtrack.js + Hammer.js

A CNN model in numpy for gesture recognition

Hand gestures as an input device

An example of how to integrate the Gesture Recognition Toolkit into an iPhone app

🖐 Memory game with hand gesture recognition that will keep your brain in a good shape!