We introduce a large image dataset HaGRIDv2 (HAnd Gesture Recognition Image Dataset) for hand gesture recognition (HGR) systems. You can use it for image classification or image detection tasks.

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

The main goal of this project is to control the drone using hand gestures without any gloves or additional equipment. Just camera on the drone or your smartphone(soon ...

Electromyography (EMG) systems are essential for the advancement of neuroprosthetics and human-machine interfaces. However, the gap between low-density and high-density systems poses challenges to ...

The complete code for this Gesture control drone project is provided at the bottom of this page. Additionally, you can find the source code in our GitHub repository linked below. As you can see, we ...

Abstract: The recognition and tracking of hand gestures are essential elements in human-computer interaction systems, providing intuitive control and facilitating interaction with a wide range of ...

This ESP32 project is an exciting and interactive way to control LEDs using hand gestures. We will use an ESP32 board, Python, MediaPipe, and OpenCV to create a system that can detect specific hand ...

Ali Hassan Shah has deployed a deep learning model for hand gesture recognition on the ESP32-S3-EYE board using the ESP-DL library and achieved AI-powered hand recognition with a 0.7-second latency on ...