finger gesture reorganization library

SwiftUI Multiple Gesture Testing, I have fine tune the Gesture function in FramPageView

👞 SequenceSense | A Robust Gesture Sequencing Tool

Smart Glove displays the output on a LCD Display.

Manage Philips Hue Lights with Hand Gestures ✋💡

Geslite is a progressive technology based on connecting Kinect with Arduino, so that the software will automatically understand your mood (based on your facial expression), and your gestures to control every device in your room.

A senior project conducted by James Ramsay and Aditya Patel, advised by Dr. Yufeng Lu and Dr. In Soo Ahn. Sponsored by Bradley University

A sensor powered glove to convert sign language into audio format. The glove will be connected to any mobile device through which the gesture converted audio will be audible. Our idea is powered by Machine Learning algorithms that automatically converts the language to audio signals. This is a gadget that gives voice to the mute people.

a Python program to use simpleCV and openCV to pull a camera stream from a webcam and grab the users hands to recognise different Gestures to control the computer

CSE 572 Data Mining Group 14

EEG & deep learning project to detect blinking eyes

A gesture recognition script that uses haar cascading. Can also be modified and be used for sign language recognition.

This is a program to implement gesture volume control using OpenCV.

CAMouse uses camera to control a mouse with hand gestures. Hand gestures are processed using AI to enable basic mouse functionality. CAMouse uses only a CPU and isn't resource intensive.

TBC iOS Bootcamp

A python GUI app with 4 core functions: virtual mouse, virtual keyboard, virtual remote control, gesture-based games, and sign language keyboard, where users could apply with their gestures without touching the PC.

A simulation about controlling a 2D car with hand gestures. The project is inspired and highly influenced by a tutorial from"cj-mills".

Control your android device with gestures with camera/computer vision

This repository is a comparative analysis of various CNN models for gesture recognition, focusing on the impact of RGB versus grayscale images and the efficacy of transfer learning with VGG-16. It includes a detailed study with custom-built CNN architectures and VGG-16 models, exploring their performance in recognizing human gestures from images.

Gesture Recognition implements of PaddlePaddle