Brain Computer Interface with ICA and Evolutionary Algorithms - Mousa Mohammad Nia,Abdolreza Asadi Ghanbari
-20% with code BOOKS
Shipping in 15-21 days
30-day return policy
A brain-computer interfaces (BCI) directly uses brain-activity signals to allow users to operate the environment without any muscular activation. A successful BCI system enables a person to control some aspects of his or her environment (such as lights in the room, a television, a neural prosthesis or a computer) by analyzing his or her brain signals. Specific features of the user¿s brain activity (or neuro ... Full description
You May Also Like
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-20% with code BOOKS
In stock at our supplier
TOP
The Design of Everyday Things
-20% with code BOOKS
In stock at our supplier
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-20% with code BOOKS
In stock at our supplier
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-20% with code BOOKS
In stock at our supplier
TOP
Practical Electronics for Inventors
-20% with code BOOKS
In stock at our supplier
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-20% with code BOOKS
In stock at our supplier
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-20% with code BOOKS
In stock at our supplier
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-20% with code BOOKS
In stock at our supplier
TOP
Black Holes: The Key to Understanding the Universe
-20% with code BOOKS
In stock at our supplier
TOP
KiCad Like A Pro - Fundamentals and Projects: Getting started with the world's best open-source PCB tool
-20% with code BOOKS
In stock at our supplier
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-20% with code BOOKS
In stock at our supplier
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-20% with code BOOKS
In stock at our supplier
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-20% with code BOOKS
In stock at our supplier
TOP
Flowers For Algernon: A Modern Literary Classic
-20% with code BOOKS
In stock at our supplier
TOP
Professional SMD Assembly: Practical Low-Cost Methods for Reliable PCB Production
-20% with code BOOKS
In stock at our supplier
TOP
Blood in the Machine: The Origins of the Rebellion Against Big Tech
-20% with code BOOKS
In stock at our supplier
TOP
Learning the Art of Electronics: A Hands-On Lab Course
Thomas C. Hayes, Paul Horowitz, David Abrams
-20% with code BOOKS
In stock at our supplier
TOP
Raspberry Pi 5 for Radio Amateurs: Program and Build Raspberry Pi 5 Based Ham Station Utilities with the RTL-SDR
-20% with code BOOKS
In stock at our supplier
Description
A brain-computer interfaces (BCI) directly uses brain-activity signals to allow users to operate the environment without any muscular activation. A successful BCI system enables a person to control some aspects of his or her environment (such as lights in the room, a television, a neural prosthesis or a computer) by analyzing his or her brain signals. Specific features of the user¿s brain activity (or neurological phenomenon) that relate to their intent to control a device are measured. These features are then translated to control commands that are used to control the device. Three major problems in this novel technology are identifies the brain signal features best suited for communication, artifacts that can occur during the signal acquisition and translation algorithms. In this research different methods have been used for handle these components.
More Information
| Author | Mousa Mohammad Nia, Abdolreza Asadi Ghanbari |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2018 |
| Cover type | Softcover |
| EAN | 9786202052627 |