Abstract: EMG signals and machine learning enable the automation of gesture recognition for addressing challenges faced by amputees in daily life. This review analyses diverse approaches within ...

Abstract: Classifying hand gestures using electromyography (EMG) data has emerged as a crucial field of study, especially for its uses in human-computer interaction, rehabilitation, and prosthetics.

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 ...

Ashlyn Needham is an expert decor and design writer with 6 years of writing for brands and personal clients. She has been published in The Spruce, Southern Living, House Digest, Family Handyman, and ...