Design of Human-Computer Interaction Control System Based on Steady-state Visual Evoked Encephalography (SSVEP)

Leipo Liu

doi:10.18282/jnt.v3i1.3295

Leipo Liu Henan University of Science

Article ID: 3295

69 Views, 8 PDF Downloads

DOI: https://doi.org/10.18282/jnt.v3i1.3295

Keywords: Steady-State Visual Evoked Eeg, Man-Machine Interaction, Control System

Abstract

With the continuous development of science and technology, the research of EEG has gradually made great achievements. During this time, a technique called mechanized brain interface was also being used. This technology is based on the computer technology, using the EEG signals generated by the neural activities of the human brain to link with the external devices, so as to form a brain as the signal source, through the signal transmission to the external devices to control the external devices of an emerging technology. The visual system collects information from the outside world, and the EEG signals transmit these signals to the brain. Finally, the brain analyzes and makes judgments so as to give instructions to the mechanical parts, and finally the mechanical parts realize the effect. The experiment found that the system can accurately collect the visual information and the generated EEG signals can be timely display conversion, and finally these signals will be converted into digital signals sent to the calculation of the processing system. In this paper, human-computer interaction control as the entry point, through the analysis and design of the EEG signals of the human brain, and finally designed the ability system that can enable people with physical disabilities to obtain autonomous activities.

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