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 |
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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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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.</description><identifier>ISSN: 0018-9219</identifier><identifier>EISSN: 1558-2256</identifier><identifier>DOI: 10.1109/JPROC.2012.2184830</identifier><identifier>CODEN: IEEPAD</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>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</subject><ispartof>Proceedings of the IEEE, 2012-05, Vol.100 (Special Centennial Issue), p.1585-1599</ispartof><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-77db53219efa625e5fbb1a73092739722fc52586c933d172c56ca0904337b00e3</citedby><cites>FETCH-LOGICAL-c412t-77db53219efa625e5fbb1a73092739722fc52586c933d172c56ca0904337b00e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6162941$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,797,27929,27930,54763</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26403761$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Lance, Brent J.</creatorcontrib><creatorcontrib>Kerick, Scott E.</creatorcontrib><creatorcontrib>Ries, Anthony J.</creatorcontrib><creatorcontrib>Oie, Kelvin S.</creatorcontrib><creatorcontrib>McDowell, Kaleb</creatorcontrib><title>Brain-Computer Interface Technologies in the Coming Decades</title><title>Proceedings of the IEEE</title><addtitle>JPROC</addtitle><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.</description><subject>Applied sciences</subject><subject>Augmented brain-computer interface (ABCI)</subject><subject>Biological and medical sciences</subject><subject>Brain modeling</subject><subject>brain-computer interaction</subject><subject>Computer interfaces</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. 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. Isdn</subject><subject>Training</subject><subject>Ubiquitous computing</subject><subject>Valuation and optimization of characteristics. Simulation</subject><issn>0018-9219</issn><issn>1558-2256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><recordid>eNo9j01PwzAMhiMEEmPwB-DSC8cO22mSRpygfA1NGkLjXKWZuxVt7ZSMA_-ejk27-D34eW09QlwjjBDB3r1_fE6LEQHSiDDPcgknYoBK5SmR0qdiAIB5agntubiI8RsApNJyIO4fg2vatOjWm58th2Tc9rN2npMZ-2XbrbpFwzFp2mS75KTHmnaRPLF3c46X4qx2q8hXhxyKr5fnWfGWTqav4-JhkvoMaZsaM6-U7F9z7TQpVnVVoTMSLBlpDVHtFalceyvlHA15pb0DC5mUpgJgORS0v-tDF2PgutyEZu3Cb4lQ7vTLf_1yp18e9PvS7b60cdG7VR1c65t4bJLOQBqNPXez5xpmPq41arIZyj-uImHG</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Lance, Brent J.</creator><creator>Kerick, Scott E.</creator><creator>Ries, Anthony J.</creator><creator>Oie, Kelvin S.</creator><creator>McDowell, Kaleb</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20120501</creationdate><title>Brain-Computer Interface Technologies in the Coming Decades</title><author>Lance, Brent J. ; Kerick, Scott E. ; Ries, Anthony J. ; Oie, Kelvin S. ; McDowell, Kaleb</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-77db53219efa625e5fbb1a73092739722fc52586c933d172c56ca0904337b00e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Applied sciences</topic><topic>Augmented brain-computer interface (ABCI)</topic><topic>Biological and medical sciences</topic><topic>Brain modeling</topic><topic>brain-computer interaction</topic><topic>Computer interfaces</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Computerized, statistical medical data processing and models in biomedicine</topic><topic>Data mining</topic><topic>electroencephalographic (EEG)</topic><topic>Electroencephalography</topic><topic>Electronics</topic><topic>Exact sciences and technology</topic><topic>Hardware</topic><topic>Human factors</topic><topic>human-computer interaction</topic><topic>Input-output equipment</topic><topic>Medical management aid. Diagnosis aid</topic><topic>Medical sciences</topic><topic>Neuroscience</topic><topic>opportunistic BCI</topic><topic>opportunistic state detection</topic><topic>pervasive computing</topic><topic>Sensors</topic><topic>Software</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Teleprocessing networks. Isdn</topic><topic>Training</topic><topic>Ubiquitous computing</topic><topic>Valuation and optimization of characteristics. 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. 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.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/JPROC.2012.2184830</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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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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