Modular Time-Frequency Joint Coding for a Virtual Keyboard Speller Using an SSVEP-Based Brain-Computer Interface

Hui Yang, Wenli Lan, Jing He, Yue Leng, Ruimin Wang, Keiji Iramina, Sheng Ge

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

Abstract

This paper presents the design of a modular time-frequency joint coding method for steady-state visual evoked potential, in which the stimulus consists of two stages: module flashing and individual flashing. In the first stage, targets are grouped into six-target modules. The modules flash at different frequencies and phases, whereas all targets within the module flash at the same frequency and phase. In the second stage, each target in the module flashes at different frequencies and phases. This coding method is compared with the control method in experiments. The results show that the proposed experimental paradigm performed better; the average accuracy and information transfer rate are higher than those of the control. Specifically, average accuracy is 89.6 ± 8.8%, which is 12.9% higher than that of the control experiment. These results prove the feasibility and superiority of the designed modular time-frequency joint coding method.

Original languageEnglish
Title of host publicationIEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021
EditorsBing Xu, Kefen Mou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1300-1305
Number of pages6
ISBN (Electronic)9781665415989
DOIs
Publication statusPublished - Oct 15 2021
Event5th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021 - Xi'an, China
Duration: Oct 15 2021Oct 17 2021

Publication series

NameIEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

Conference

Conference5th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021
Country/TerritoryChina
CityXi'an
Period10/15/2110/17/21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Safety, Risk, Reliability and Quality

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