CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!

Use your camera to control the mouse from a distance

Voight-Kampff Machine to automatically select the optimal threshold for recognizing custom gestures

Intelligent Consumer Technology project - Università degli Studi di Milano-Bicocca, a.a. 2023/2024

A Gesture Volume Control Based Project with Hand Recognition, it detects your hand movements and will turn the volume High and Low.

Multimodal Computer Vision application leveraging object detections, gesture recognition and speech to text, in order to help user ask questions about their environment.

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.

The $1 Unistroke Recognizer, a 2D single-stroke recognizer ported to Flutter/Dart

WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

FG 2024 Papers: Explore a comprehensive collection of research papers presented at one of the premier conferences on automatic face and gesture recognition. Seamlessly integrate code implementations for better understanding. ⭐ Experience the cutting edge of progress in facial analysis, gesture recognition, and biometrics with this repository!

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.

[IJCAI 2024] Official TensorFlow implementation of "Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation".

testSpectrogram is an open-source platform for wireless channel simulation, human/hand pose extraction, gesture spectrogram generation, and real-time gesture recognition based on millimeter-wave passive sensing and communication systems.

This project implements gesture recognition using accelerometer and gyroscope data, leveraging TensorFlow and Keras for deep learning models. The trained model is then converted to TensorFlow Lite for deployment on edge devices.

A software tool for creating musical gesture datasets and real-time recognition of musical gestures based on live audio input.

GestureX is an OpenCV-based hand motion sensing system for intuitive, efficient user control.This project aims to investigate the potential of creating a vision-based gesture recognition system using OpenCV to accurately and efficiently recognize hand gestures for computer control.

Machine Learning Gesture Recognition implementation on dsPIC33CK DSC using MPLAB Machine learning Development Suite

Gesture Recognition with Google MediaPipe in ROS