9789811330971-9811330972-Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG (SpringerBriefs in Applied Sciences and Technology)

Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG (SpringerBriefs in Applied Sciences and Technology)

ISBN-13: 9789811330971
ISBN-10: 9811330972
Edition: 1st ed. 2019
Author: Swagata Das, Devashree Tripathy, Jagdish Lal Raheja
Publication date: 2018
Publisher: Springer
Format: Paperback 130 pages
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Book details

ISBN-13: 9789811330971
ISBN-10: 9811330972
Edition: 1st ed. 2019
Author: Swagata Das, Devashree Tripathy, Jagdish Lal Raheja
Publication date: 2018
Publisher: Springer
Format: Paperback 130 pages

Summary

Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG (SpringerBriefs in Applied Sciences and Technology) (ISBN-13: 9789811330971 and ISBN-10: 9811330972), written by authors Swagata Das, Devashree Tripathy, Jagdish Lal Raheja, was published by Springer in 2018. With an overall rating of 4.0 stars, it's a notable title among other books. You can easily purchase or rent Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG (SpringerBriefs in Applied Sciences and Technology) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book discusses the basic requirements and constraints in building a brain-computer interaction system. These include the technical requirements for building the signal processing module and the acquisition module. The major aspects to be considered when designing a signal acquisition module for a brain-computer interaction system are the human brain, types and applications of brain-computer systems, and the basics of EEG (electroencephalogram) recording. The book also compares the algorithms that have been and that can be used to design the signal processing module of brain-computer interfaces, and describes the various EEG-acquisition devices available and compares their features and inadequacies. Further, it examines in detail the use of Emotiv EPOC (an EEG acquisition module developed by Emotiv) to build a complete brain-computer interaction system for driving robots using a neural network classification module.


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