Construct and Evaluate a Phone Dialing System Leveraging SSVEP Brain-Computer Interface

Jinsha Liu; Boning Li; Jianting Cao

doi:10.24297/ijct.v23i.9539

Authors

Jinsha Liu Graduate School of Engineering, Saitama Institute of Technology, Fukaya City, Saitama, Japan
Boning Li Graduate School of Engineering, Saitama Institute of Technology, Fukaya City, Saitama, Japan
Jianting Cao Graduate School of Engineering, Saitama Institute of Technology, Fukaya City, Saitama, Japan

DOI:

https://doi.org/10.24297/ijct.v23i.9539

Keywords:

BCI, EEG, SSVEP

Abstract

This study presents a SSVEP based BCI system, designed for dialing a phone number through EEG signals. Our SSVEP system leverages a tablet-based stimulator and OpenBCI Cyton board, employing Canonical Correlation Analysis for EEG signal classification. Tested on 7 participants, the system demonstrated a high accuracy rate of 98.1% in identifying the observed keys. The use of a tablet-based SSVEP stimulator was found to reduce visual fatigue compared to traditional LED stimulators. Despite its initial success, further validation with a larger cohort and in varied real-world conditions is required. This work signifies a promising advancement in utilizing BCIs in practical applications.

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