ACEBOTT QD023 is an ESP32-based wearable gesture control glove that tracks finger movements with potentiometers instead of more traditional flex sensors.
We live in a golden age for MIDI controllers. [rheslip]’s contribution to the milieu is a twisty take on the format, in that it’s covered in an array of knobs. Thus the name—Twisty 2.
On first launch, you'll see a welcome screen where you can choose how intense you want your experience to be. Don't worry - you can always change settings later!
This project utilizes an Arduino Uno CH340G development board paired with a DHT11 temperature and humidity sensor to create a compact yet capable environmental monitoring system. It measures ambient ...
Abstract: This paper presents a method for controlling the prosthetic leg using surface Electromyography (sEMG) signals, Artificial Neural Network (ANN), and Super Twisting Sliding Mode Control ...
Meta's neural band in Garmin's Unified Cabin at CES 2026. (Karissa Bell for Engadget) Meta has been experimenting with EMG technology for years. In 2025, the company commercialized it for the first ...
Abstract: In recent years, researchers have proposed the approximation of model predictive control (MPC) using deep neural networks (DNNs). However, a limitation arises as DNNs inherently offer one-to ...