Multimodal Computer Vision application leveraging object detections, gesture recognition and speech to text, in order to help user ask questions about their environment.
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Updated
Jun 6, 2024 - Python
Multimodal Computer Vision application leveraging object detections, gesture recognition and speech to text, in order to help user ask questions about their environment.
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.
Real Time Hand Signs Recognition using CNN and LSTM Model.
[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.
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.
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
Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.
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 ensembl…
An installation that can be used to increase the awareness about Global Warming
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.
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.
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