28 Open source projects that are alternatives of or similar to mGesf

Basic Gesture Recognition Using mmWave Sensor - TI AWR1642

Hand gestures as an input device

Recognize gestures using a simple webcam.

GIMLeT – Gestural Interaction Machine Learning Toolkit

Linux multi-touch gesture recognizer

Control lights in the physical world from the augmented world using hand gestures. Using Magic Leap Hand Poses (Gestures) and PubNub.

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.

TriangleGAN, ACM MM 2019.

The official PyTorch implementation of "Context Matters: Self-Attention for sign Language Recognition"

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

The Mapbox Gestures for Android library makes it easy to detect and handle user gestures on an Android device.

Enhance your iOS app with the ability to see and interact with humans using the RGB camera.

Developed a pipeline to remotely control appliances using minimal face gestures and neck movements.

You can set up drag, pinch events in any browser.

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.

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

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.

Intel Realsense Toolkit for Hand tracking and Gestural Recognition on Unity3D

Low level MacOS management in JavaScript via BetterTouchTool

Python program to read and plot the data in real time from the AWR1642 and IWR1642 mmWave radar boards (Texas Instruments).

Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250

Python program to read and plot the data in real time from the AWR1843 mmWave radar board (MMWAVE SDK 3)

Using sub-6 GHz channels to predict mmWave beams and link blockage.

High-fidelity implementation of the IEEE 802.11ad/ay standards in network simulator ns-3

[mmWave based fmcw radar design files] based on AWR1843 chip operating at 76-GHz to 81-GHz.

OpenXR API layer enabling XR_EXT_hand_tracking support using Ultraleap tracking

Magnum::Ui + Leap Motion + Oculus VR

Ultraleap SDK for Unity.