000176123 001__ 176123
000176123 005__ 20190316235333.0
000176123 0247_ $$2doi$$a10.3389/fnins.2010.00161
000176123 022__ $$a1662-453X
000176123 037__ $$aARTICLE
000176123 245__ $$aCombining brain-computer interfaces and assistive technologies: state-of-the-art and challenges
000176123 269__ $$a2010
000176123 260__ $$c2010
000176123 336__ $$aJournal Articles
000176123 520__ $$aIn recent years, new research has brought the field of electroencephalogram (EEG)-based brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer games. With this proof-of-concept phase in the past, the time is now ripe to focus on the development of practical BCI technologies that can be brought out of the lab and into real-world applications. In particular, we focus on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT). In pursuit of more practical BCIs for use outside of the lab, in this paper, we identify four application areas where disabled individuals could greatly benefit from advancements in BCI technology, namely, “Communication and Control”, “Motor Substitution”, “Entertainment”, and “Motor Recovery”. We review the current state of the art and possible future developments, while discussing the main research issues in these four areas. In particular, we expect the most progress in the development of technologies such as hybrid BCI architectures, user–machine adaptation algorithms, the exploitation of users’ mental states for BCI reliability and confidence measures, the incorporation of principles in human–computer interaction (HCI) to improve BCI usability, and the development of novel BCI technology including better EEG devices.
000176123 6531_ $$aassistive technology
000176123 6531_ $$aBCI
000176123 6531_ $$acommunication and control
000176123 6531_ $$aentertainment
000176123 6531_ $$amotor recovery
000176123 6531_ $$amotor substitution
000176123 6531_ $$a[TOBI]
000176123 700__ $$0240030$$g149175$$aMillán, José del R.
000176123 700__ $$aRupp, Rüdiger
000176123 700__ $$aMüller-Putz, Gernot
000176123 700__ $$aMurray-Smith, Rod
000176123 700__ $$aGiugliemma, Claudio
000176123 700__ $$aTangermann, Michael
000176123 700__ $$aVidaurre, Carmen
000176123 700__ $$aCincotti, Febo
000176123 700__ $$aKübler, Andrea
000176123 700__ $$0242179$$g192497$$aLeeb, Robert
000176123 700__ $$aNeuper, Christa
000176123 700__ $$aMüller, Klaus Robert
000176123 700__ $$aMattia, Donatella
000176123 773__ $$j4$$tFrontiers in Neuroscience$$k161
000176123 8564_ $$uhttps://infoscience.epfl.ch/record/176123/files/fnins-04-00161.pdf$$zPublisher's version$$s884718$$yPublisher's version
000176123 909C0 $$xU12103$$0252018$$pCNBI
000176123 909C0 $$pCNP$$xU12599$$0252517
000176123 909CO $$qGLOBAL_SET$$pSTI$$particle$$ooai:infoscience.tind.io:176123
000176123 917Z8 $$x192497
000176123 917Z8 $$x137762
000176123 917Z8 $$x149175
000176123 937__ $$aEPFL-ARTICLE-176123
000176123 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000176123 980__ $$aARTICLE