ACEBOTT QD023 is an ESP32-based wearable gesture control glove that tracks finger movements with potentiometers instead of more traditional flex sensors.

(this project essentially demonestrates the use of MediaPipe Hands (Google) and Faster-Whisper (Int8 Quantization), along with WebRTCVAD.) Runs silently in the System Tray with a "Headless" option (no ...

An implementation of face detection and tracking on the dji Tello drone based on a HAAR Cascade using OpenCV and Python 3.6 ...

Abstract: Accurate hand motion capture (MoCap) is vital for applications in robotics, virtual reality, and biomechanics, yet existing systems face limitations in capturing high-degree-of-freedom (DoF) ...

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 ...

Abstract: With the rapid progress of technology, traditional presenting styles sometimes fail to engage audiences effectively. The search for new ways to improve user engagement has been spurred by ...

Learn how to track camera movement to a face and create the popular motion lock effect in After Effects. This step-by-step tutorial shows you how to stabilize and lock visuals to moving faces for ...