Towards practical brain-computer interfaces : bridging the gap from research to real-world applications /

Saved in:
Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Allison, Brendan
Published: Springer,
Publisher Address: Berlin ; New York :
Publication Dates: 2012.
Literature type: eBook
Language: English
Series: Biological and medical physics, Biomedical engineering,
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-29746-5
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references and index.
ISBN: 9783642297465 (electronic bk.)
3642297463 (electronic bk.)
Index Number: QP360
CLC: TP11
Contents: Sensors, Signals and Signal Processing --
Hybrid Optical-Electrical Brain Computer Interfaces, Practices and Possibilities /
A Critical Review on the Usage of Ensembles for BCI /
Improving Brain-Computer Interfaces Using Independent Component Analysis /
Towards Electrocorticographic Electrodes for Chronic Use in BCI Applications /
Recent and Upcoming BCI Progress: Overview, Analysis, and Recommendations /
Devices, Applications and Users --
Introduction to Devices, Applications and Users: Towards Practical BCIs Based on Shared Control Techniques /
Brain Computer Interface for Hand Motor Function Restoration and Rehabilitation /
User Centred Design in BCI Development /
Designing Future BCIs: Beyond the Bit Rate /
Combining BCI with Virtual Reality: Towards New Applications and Improved BCI /
Application Interfaces and Environments --
Brain-Computer Interfaces and User Experience Evaluation /
Framework for BCIs in Multimodal Interaction and Multitask Environments /
EEG-Enabled Human-Computer Interaction and Applications /
Phase Detection of Visual Evoked Potentials Applied to Brain Computer Interfacing /
Can Dry EEG Sensors Improve the Usability of SMR, P300 and SSVEP Based BCIs? /
A Practical BCI Infrastructure: Emerging Issues --
BCI Software Platforms /
Is It Significant? Guidelines for Reporting BCI Performance /
Principles of Hybrid Brain-Computer Interfaces /
Non-visual and Multisensory BCI Systems: Present and Future /
Characterizing Control of Brain-Computer Interfaces with BioGauges /