Brain-Computer Interface Technologies in the Coming Decades

As the proliferation of technology dramatically infiltrates all aspects of modern life, in many ways the world is becoming so dynamic and complex that technological capabilities are overwhelming human capabilities to optimally interact with and leverage those technologies. Fortunately, these technol...

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Veröffentlicht in:Proceedings of the IEEE 2012-05, Vol.100 (Special Centennial Issue), p.1585-1599
Hauptverfasser: Lance, Brent J., Kerick, Scott E., Ries, Anthony J., Oie, Kelvin S., McDowell, Kaleb
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container_end_page 1599
container_issue Special Centennial Issue
container_start_page 1585
container_title Proceedings of the IEEE
container_volume 100
creator Lance, Brent J.
Kerick, Scott E.
Ries, Anthony J.
Oie, Kelvin S.
McDowell, Kaleb
description As the proliferation of technology dramatically infiltrates all aspects of modern life, in many ways the world is becoming so dynamic and complex that technological capabilities are overwhelming human capabilities to optimally interact with and leverage those technologies. Fortunately, these technological advancements have also driven an explosion of neuroscience research over the past several decades, presenting engineers with a remarkable opportunity to design and develop flexible and adaptive brain-based neurotechnologies that integrate with and capitalize on human capabilities and limitations to improve human-system interactions. Major forerunners of this conception are brain-computer interfaces (BCIs), which to this point have been largely focused on improving the quality of life for particular clinical populations and include, for example, applications for advanced communications with paralyzed or "locked in" patients as well as the direct control of prostheses and wheelchairs. Near-term applications are envisioned that are primarily task oriented and are targeted to avoid the most difficult obstacles to development. In the farther term, a holistic approach to BCIs will enable a broad range of task-oriented and opportunistic applications by leveraging pervasive technologies and advanced analytical approaches to sense and merge critical brain, behavioral, task, and environmental information. Communications and other applications that are envisioned to be broadly impacted by BCIs are highlighted; however, these represent just a small sample of the potential of these technologies.
doi_str_mv 10.1109/JPROC.2012.2184830
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User interface</subject><subject>Computerized, statistical medical data processing and models in biomedicine</subject><subject>Data mining</subject><subject>electroencephalographic (EEG)</subject><subject>Electroencephalography</subject><subject>Electronics</subject><subject>Exact sciences and technology</subject><subject>Hardware</subject><subject>Human factors</subject><subject>human-computer interaction</subject><subject>Input-output equipment</subject><subject>Medical management aid. Diagnosis aid</subject><subject>Medical sciences</subject><subject>Neuroscience</subject><subject>opportunistic BCI</subject><subject>opportunistic state detection</subject><subject>pervasive computing</subject><subject>Sensors</subject><subject>Software</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teleprocessing networks. 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Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lance, Brent J.</creatorcontrib><creatorcontrib>Kerick, Scott E.</creatorcontrib><creatorcontrib>Ries, Anthony J.</creatorcontrib><creatorcontrib>Oie, Kelvin S.</creatorcontrib><creatorcontrib>McDowell, Kaleb</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Proceedings of the IEEE</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lance, Brent J.</au><au>Kerick, Scott E.</au><au>Ries, Anthony J.</au><au>Oie, Kelvin S.</au><au>McDowell, Kaleb</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain-Computer Interface Technologies in the Coming Decades</atitle><jtitle>Proceedings of the IEEE</jtitle><stitle>JPROC</stitle><date>2012-05-01</date><risdate>2012</risdate><volume>100</volume><issue>Special Centennial Issue</issue><spage>1585</spage><epage>1599</epage><pages>1585-1599</pages><issn>0018-9219</issn><eissn>1558-2256</eissn><coden>IEEPAD</coden><abstract>As the proliferation of technology dramatically infiltrates all aspects of modern life, in many ways the world is becoming so dynamic and complex that technological capabilities are overwhelming human capabilities to optimally interact with and leverage those technologies. 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subjects Applied sciences
Augmented brain-computer interface (ABCI)
Biological and medical sciences
Brain modeling
brain-computer interaction
Computer interfaces
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Computerized, statistical medical data processing and models in biomedicine
Data mining
electroencephalographic (EEG)
Electroencephalography
Electronics
Exact sciences and technology
Hardware
Human factors
human-computer interaction
Input-output equipment
Medical management aid. Diagnosis aid
Medical sciences
Neuroscience
opportunistic BCI
opportunistic state detection
pervasive computing
Sensors
Software
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Training
Ubiquitous computing
Valuation and optimization of characteristics. Simulation
title Brain-Computer Interface Technologies in the Coming Decades
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