Towards practical brain-computer interfaces : bridging the gap from research to real-world applications /
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Corporate Authors: | |
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Group Author: | |
Published: |
Springer,
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Publisher Address: | Berlin ; New York : |
Publication Dates: | 2012. |
Literature type: | eBook |
Language: | English |
Series: |
Biological and medical physics, Biomedical engineering,
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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 / |