Home // SIGNAL 2023, The Eighth International Conference on Advances in Signal, Image and Video Processing // View article
Improvement of SSVEP Detection Accuracy via Additive Averaging of Binaural Peripheral Electrodes
Authors:
Taichi Haba
Gaochao Cui
Fumiya Kinoshita
Hideaki Touyama
Keywords: Steady–State Visual Evoked Potential (SSVEP); Canonical Correlation Analysis (CCA); ear EEG.
Abstract:
Recently, Brain–Computer Interfaces for healthy subjects have attracted considerable attention. Steady–State Visual Evoked Potential (SSVEP) has garnered particular attention because it can be used by anyone without training. However, SSVEP is mainly used for head measurements and is unsuitable for daily measurements. We attempted to measure SSVEP via the application of electrodes around the ears. The highest average macro F–value was 45.33±16.84 %, and the highest average Information Transfer Rate (ITR) was 13.86±13.21 bits/min with the L2+R2 method. A comparison between electrodes 1–3 and the head showed no significant difference, except in the occipital area, and the combination of right and left electrodes around the ear produced the same accuracy as that of the head.
Pages: 31 to 36
Copyright: Copyright (c) IARIA, 2023
Publication date: March 13, 2023
Published in: conference
ISSN: 2519-8432
ISBN: 978-1-68558-057-5
Location: Barcelona, Spain
Dates: from March 13, 2023 to March 17, 2023