Mangaluru: National Institute of Technology Karnataka (NITK) Surathkal has stated that a team of three 4 th-semester BTech students from the department of electronics and communication engineering ...

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 ...

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 ...

Automated gesture recognition (GR) is applied to present feedback in a computerized learning environment for practising sign language (SL) knowledge for the deaf community. Globally, dumb and deaf ...

This project was created as part of a final year major project with the goal of making communication more accessible. It uses real-time webcam input to detect and identify ASL gestures, converting ...

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 ...

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 ...

Hand gesture recognition based on sparse multichannel surface electromyography (sEMG) still poses a significant challenge to deployment as a muscle–computer interface. Many researchers have been ...

In the previous article, we saw the hand landmarker model by MediaPipe. Today, we'll use an upgrade on top of that model - the one that detects gestures. The MediaPipe Gesture Recognizer task lets you ...