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

Title
Advances in Wearable Brain-Computer Interfaces From an Algorithm-Hardware Co-Design Perspective
Authors
Byun, WooseokJe, MinkyuKim, Ji-Hoon
Ewha Authors
김지훈
SCOPUS Author ID
김지훈scopus
Issue Date
2022
Journal Title
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
ISSN
1549-7747JCR Link

1558-3791JCR Link
Citation
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS vol. 69, no. 7, pp. 3071 - 3077
Keywords
Signal processing algorithmsPartitioning algorithmsHardwareWearable computersRecordingVisualizationSignal processingBrain-computer interface (BCI)algorithm-hardware co-designdomain-specific architecturedeep learning acceleratorlinear algebra accelerator
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
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.
DOI
10.1109/TCSII.2022.3177616
Appears in Collections:
공과대학 > 전자전기공학전공 > Journal papers
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