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 ...

Abstract: The variations in camera view and hand spatial pose are the main reasons for the low accuracy and poor robustness of gesture recognition systems. In order to achieve accurate and stable ...

Hands in motion can be challenging, but they become much easier to draw when you understand gesture, structure, and how movement changes shape. This tutorial focuses on drawing hands in action by ...

New research shows that Apple is looking to improve gestures on AirPods by dropping the separate detection circuitry of AirPods, and instead using the RF antenna to sense the gesture. In the ...

At CES 2026, Neuranics will unveil the first wearable, multi-channel magnetomyography (MMG) wristband using its advanced tunneling magnetoresistance (TMR) sensor array. What began as a single-channel ...

Gesture Recognition is a project to control Microsoft Powerpoint while presenting on a large screen, using the Microsoft Kinect Sensor, C# and Kinect SDK. Using their right or left hand, the presenter ...

Neuranics will return to CES in Las Vegas, USA, from 6 to 9 January 2026 to debut the MiMiG Wristband, a new 8-channel demo built on pioneering magnetomyography (MMG) technology. Developed to showcase ...

A modern, easy-to-use attendance system using face recognition with OpenCV and Python. Features a clean GUI and real-time face detection ...