Book

Description

Hands are one of the most versatile and complex parts of the human body, consisting of numerous muscles, bones, nerves, and blood vessels. Our hands allow us to interact with the world around us in many ways, including: Grasping and manipulating objects, Communicating, Performing tasks, expressing ourselves, providing tactile feedback etc. Several reasons like Injury, Neurological conditions and Infections cause nerve damage and result in hand paralyzed. So, they are not able to move their hands to do several tasks in the daily life and they need to depend upon others. So, by considering these criteria we came to know that we can analyze the muscle contraction and relaxation using the sEMG where need to train the data based on signal strength movements were classified the input signal is analyzed on the characteristics of the hidden layer using the Deep neural networks algorithm and identify the movement was done according to the input from the sensor. Explore the fascinating realm of human-computer interaction as we delve into the Identification of Hand and Wrist Movements through Surface Electromyography. Uncover the seamless synergy of technology and physiology, unlocking new possibilities with Deep Neural Networks. Uncover the future of human-machine interfaces as we decode muscle signals, revolutionizing the way we interact with technology. Join us on a journey of innovation, where signals from muscles pave the way for intuitive and precise control.