Advances in Wearable Brain-Computer Interfaces From an Algorithm-Hardware Co-Design Perspective

Cited 5 time in webofscience Cited 0 time in scopus
  • Hit : 193
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorByun, Wooseokko
dc.contributor.authorJe, Minkyuko
dc.contributor.authorKim, Ji-Hoonko
dc.date.accessioned2022-07-11T09:00:34Z-
dc.date.available2022-07-11T09:00:34Z-
dc.date.created2022-07-11-
dc.date.created2022-07-11-
dc.date.issued2022-07-
dc.identifier.citationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v.69, no.7, pp.3071 - 3077-
dc.identifier.issn1549-7747-
dc.identifier.urihttp://hdl.handle.net/10203/297320-
dc.description.abstractBrain-computer interface (BCI), a communication technology between brain and computer developed for a long time since the 1970s, can be incorporated into wearable devices by developing powerful signal processing algorithms and semiconductor technologies. For a satisfactory user experience based on BCI, high information transfer rate and low power consumption should be considered together without losing accuracy. Although many existing BCI algorithms have been mainly focused solely on the accuracy, their deployment on wearable devices is not straightforward due to the limited hardware resources and computational capabilities. This tutorial summarizes recent advances in wearable BCI algorithms and hardware implementations from an algorithm-hardware co-design perspective and discusses future directions.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleAdvances in Wearable Brain-Computer Interfaces From an Algorithm-Hardware Co-Design Perspective-
dc.typeArticle-
dc.identifier.wosid000818877500011-
dc.identifier.scopusid2-s2.0-85130797093-
dc.type.rimsART-
dc.citation.volume69-
dc.citation.issue7-
dc.citation.beginningpage3071-
dc.citation.endingpage3077-
dc.citation.publicationnameIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS-
dc.identifier.doi10.1109/TCSII.2022.3177616-
dc.contributor.localauthorJe, Minkyu-
dc.contributor.nonIdAuthorByun, Wooseok-
dc.contributor.nonIdAuthorKim, Ji-Hoon-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorSignal processing algorithms-
dc.subject.keywordAuthorPartitioning algorithms-
dc.subject.keywordAuthorHardware-
dc.subject.keywordAuthorWearable computers-
dc.subject.keywordAuthorRecording-
dc.subject.keywordAuthorVisualization-
dc.subject.keywordAuthorSignal processing-
dc.subject.keywordAuthorBrain-computer interface (BCI)-
dc.subject.keywordAuthoralgorithm-hardware co-design-
dc.subject.keywordAuthordomain-specific architecture-
dc.subject.keywordAuthordeep learning accelerator-
dc.subject.keywordAuthorlinear algebra accelerator-
dc.subject.keywordPlusDEEP NEURAL-NETWORK-
dc.subject.keywordPlusENHANCING DETECTION-
dc.subject.keywordPlusPROCESSOR-
dc.subject.keywordPlusCLASSIFICATION-
dc.subject.keywordPlusIMPLEMENTATION-
dc.subject.keywordPlusEEGNET-
dc.subject.keywordPlusPOWER-
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 5 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0