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Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG/ by Swagata Das, Devashree Tripathy, Jagdish Lal Raheja.
Author:	Das, Swagata.
other author:	Tripathy, Devashree.
Description:	XXI, 109 p. 75 illus., 62 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-981-13-3098-8
ISBN:	9789811330988

Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG
Das, Swagata.

Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG[electronic resource] /by Swagata Das, Devashree Tripathy, Jagdish Lal Raheja. - 1st ed. 2019. - XXI, 109 p. 75 illus., 62 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3704. - SpringerBriefs in Computational Intelligence,.

Preface -- Introduction -- An insight to the human brain and EEG -- A review on algorithms for EEG-based BCIs30 -- Implications -- Results and Conclusions.

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.

ISBN: 9789811330988

Standard No.: 10.1007/978-981-13-3098-8doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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