000266397 001__ 266397
000266397 005__ 20190625174540.0
000266397 022__ $$a2174-3487
000266397 022__ $$a2174-9221
000266397 02470 $$a000460387700019$$2isi
000266397 0247_ $$a10.7203/metode.9.12639$$2doi
000266397 037__ $$aARTICLE
000266397 245__ $$aThe Human-Computer Connection An Overview Of Brain-Computer Interfaces
000266397 260__ $$c2019$$aValencia$$bUNIV VALENCIA, BOTANICAL GARDEN UV
000266397 269__ $$a2019-01-01
000266397 336__ $$aJournal Articles
000266397 520__ $$aThis article introduces the field of brain-computer interfaces (BCI), which allows the control of devices without the generation of any active motor output but directly from the decoding of the user's brain signals. Here we review the current state of the art in the BCI field, discussing the main components of such an interface and illustrating ongoing research questions and prototypes for controlling a large variety of devices, from virtual keyboards for communication to robotics systems to replace lost motor functions and even clinical interventions for motor rehabilitation after a stroke. The article concludes with some insights into the future of BCI.
000266397 650__ $$aHistory & Philosophy Of Science
000266397 650__ $$aHistory & Philosophy of Science
000266397 6531_ $$abrain-computer interfaces
000266397 6531_ $$abrain signal processing
000266397 6531_ $$amachine learning
000266397 6531_ $$arobotics
000266397 6531_ $$arehabilitation
000266397 6531_ $$apeople
000266397 700__ $$aMillan, Jose del R.$$0240030$$g149175
000266397 773__ $$k9$$q135-141$$tMetode Science Studies Journal
000266397 8560_ $$fjose.millan@epfl.ch
000266397 909C0 $$zMarselli, Béatrice$$0252018$$yApproved$$pCNBI$$xU12103$$mjose.millan@epfl.ch
000266397 909CO $$particle$$ooai:infoscience.epfl.ch:266397$$pSTI
000266397 961__ $$afantin.reichler@epfl.ch
000266397 973__ $$aEPFL$$sPUBLISHED$$rREVIEWED
000266397 980__ $$aARTICLE
000266397 980__ $$aWoS
000266397 981__ $$aoverwrite