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Scalable selection of EEG features for compression

  • Yuma Tsurugasaki
  • , Koichi Shimoda
  • , Michael Hefenbrock
  • , Akihito Taya
  • , Sejun Song
  • , Yoshito Tobe
  • Aoyama Gakuin University
  • Karlsruhe Institute of Technology
  • University of Missouri at Kansas City

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Pages712-715
Number of pages4
ISBN (Electronic)9781450380768
DOIs
StatePublished - Sep 10 2020
Externally publishedYes
Event2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020 - Virtual, Online, Mexico
Duration: Sep 12 2020Sep 17 2020

Publication series

NameUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

Conference

Conference2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020
Country/TerritoryMexico
CityVirtual, Online
Period9/12/209/17/20

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Software
  • Hardware and Architecture

Keywords

  • electroencephalogram
  • features
  • machine learning
  • telemedicine

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