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

Wooseok Byun, Minkyu Je, Ji Hoon Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Brain-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.

Original languageEnglish
Pages (from-to)3071-3077
Number of pages7
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume69
Issue number7
DOIs
StatePublished - 1 Jul 2022

Keywords

  • Algorithm-hardware co-design
  • Brain-computer interface (BCI)
  • Deep learning accelerator
  • Domain-specific architecture
  • Linear algebra accelerator

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