Brain-Computer Interfaces: Current Trends and Applications by Aboul Ella Hassanien, Ahmad Taher Azar (eds.)

By Aboul Ella Hassanien, Ahmad Taher Azar (eds.)

The good fortune of a BCI procedure relies as a lot at the procedure itself as at the user’s skill to supply distinct EEG task. BCI structures may be divided into teams in line with the situation of the electrodes used to realize and degree neurons firing within the mind. those teams are: invasive platforms, electrodes are inserted without delay into the cortex are used for unmarried telephone or multi unit recording, and electrocorticography (EcoG), electrodes are put on the outside of the cortex (or dura); noninvasive structures, they're put on the scalp and use electroencephalography (EEG) or magnetoencephalography (MEG) to realize neuron activity.

The ebook is largely divided into 3 elements. the 1st a part of the booklet covers the fundamental innovations and overviews of mind laptop Interface. the second one half describes new theoretical advancements of BCI structures. The 3rd half covers perspectives on actual purposes of BCI systems.

Show description

Read Online or Download Brain-Computer Interfaces: Current Trends and Applications PDF

Best human-computer interaction books

Human-Computer Interaction: An Empirical Research Perspective

Human-Computer interplay: An Empirical learn viewpoint is the definitive consultant to empirical learn in HCI. The publication starts with foundational issues together with historic context, the human issue, interplay parts, and the basics of technology and learn. From there, you'll growth to studying concerning the equipment for carrying out an test to guage a brand new laptop interface or interplay procedure.

Understanding Mobile Human-Computer Interaction

Taking a mental viewpoint, this booklet examines the position of Human-Computer interplay within the box of knowledge structures learn. The introductory portion of the publication covers the elemental tenets of the HCI self-discipline, together with the way it built and an outline of many of the educational disciplines that give a contribution to HCI examine.

Introducing Spoken Dialogue Systems into Intelligent Environments

Introducing Spoken discussion structures into clever Environments outlines the formalisms of a unique knowledge-driven framework for spoken discussion administration and provides the implementation of a model-based Adaptive Spoken discussion Manager(ASDM) referred to as OwlSpeak. The authors have pointed out 3 stakeholders that in all likelihood impression the habit of the ASDM: the consumer, the SDS, and a posh clever surroundings (IE) such as numerous units, companies, and activity descriptions.

Emerging Research and Trends in Interactivity and the Human-Computer Interface

With various rising and cutting edge applied sciences mixed with the lively participation of the human point because the significant connection among the top consumer and the electronic realm, the pervasiveness of human-computer interfaces is at an all time excessive. rising study and tendencies in Interactivity and the Human-Computer Interface addresses the most problems with curiosity in the tradition and layout of interplay among people and pcs.

Additional info for Brain-Computer Interfaces: Current Trends and Applications

Sample text

Feature selection for the classification of movements from single movement-related potentials. IEEE Trans. Neural Syst. Rehabil. Eng. 10(3), 170–177 (2002) 1 Brain Computer Interface: A Review 29 69. : Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin. Neurophysiol. 110(11), 1842–1857 (1999) 70. : Comparison of linear, nonlinear, and feature selection methods for EEG signal classification. IEEE Trans. Neural Syst. Rehabil. Eng. 11, 141–144 (2003) 71. : An asynchronously controlled EEG-based virtual keyboard: Improvement of the spelling rate.

Neurophysiol. 114(6), 1053–1068 (2003) 11. : Brain-controlled interfaces: movement restoration with neural prosthetics. Neuron 52(1), 205–220 (2006) 12. : Evolution of braincomputer interfaces: going beyond classic motor physiology. Neurosurg. Focus 27(1), E4 (2009) 13. : A brain-computer interface using electrocorticographic signals in humans. J. Neural Eng. 1(2), 63–71 (2004) 14. : Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkeys. Frontiers Neuroeng.

A review of classification algorithms for EEG-based brain-computer interfaces. J. Neural Eng. : A new method of EEG classification for BCI with feature extraction based on higher order statistics of wavelet components and selection with genetic algorithms. In: Adaptive and Natural Computing Algorithms. Springer, Berlin, pp. : Exploring dimensionality reduction of EEG features in motor imagery task classification. J. Expert Syst. Appl. : Linear discriminant analysis as EEG features reduction technique for brain-computer interfaces.

Download PDF sample

Rated 4.47 of 5 – based on 27 votes