Driving mode selection through ssvep-based bci and energy consumption analysis

HIGHLIGHTS

  • who: Juai Wu and colleagues from the College of Automation and College of Artificial Intelligence, Nanjing University of Posts and have published the research: Driving Mode Selection through SSVEP-Based BCI and Energy Consumption Analysis, in the Journal: Sensors 2022, 22, 5631. of 12/06/2022
  • what: In this paper a steady-state visual-evoked potential (SSVEP)-based system is proposed. Energy consumption is investigated in terms of which the proposed brain-controlled system considerably differs from a traditional system and the main reason is shown to be the existence of a detection error. To . . .

     

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