Brain-Computer Interface: A Deep Learning Revolution

By M. G. Sumithra, this book explores the latest advancements in brain-computer interface technology using deep learning. It delves into the potential applications, challenges, and future prospects of this emerging technology.

What is Brain-Computer Interface (BCI)?

The brain-computer interface (BCI) is a technology aimed at establishing a communication channel between the human neural networks within the brain and the external world. This technology has the potential to revolutionize various aspects of life, from communication and marketing to recovery, care, mental state monitoring, and entertainment.

Machine Learning and BCI

Machine learning algorithms have significantly advanced BCI technology over the past few decades, improving performance standards in terms of classification accuracy. However, several challenges remain to be solved for BCI to be effective in real-world applications.

Deep Learning in BCI

Deep learning is expected to bring solutions to these challenges. It has been successfully applied in various fields such as computer vision and natural language processing, outperforming conventional machine learning approaches. Researchers and industrialists are showing great interest in deep learning techniques, including convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN), in engineering, technology, and other industries.

Audience and Applications

This book is targeted at researchers and industrialists working in the fields of brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists. It provides insights into the potential applications of BCI technology and the role of deep learning in advancing this field.

Book Details

Publisher: Wiley
Publication Date: January 31, 2023
Language: English
ISBN: 9781119857204, 9781119857648