A new cross-subject SSVEP transfer method, iTRCA, and its subject-selection variant SS-iTRCA, improve recognition accuracy over TRCA and several transfer baselines, particularly with limited target calibration data.
Combination of high- frequency ssvep-based bci and computer vision for controlling a robotic arm,
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Instance-Based Transfer Learning with Similarity-Aware Subject Selection for Cross-Subject SSVEP-Based BCIs
A new cross-subject SSVEP transfer method, iTRCA, and its subject-selection variant SS-iTRCA, improve recognition accuracy over TRCA and several transfer baselines, particularly with limited target calibration data.