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Walailak University

2 entries
September 2026

EEG Study Finds Staircase Flicker Cues Are Decodable but No Better Than Fixed Frequencies

An offline EEG study of 15 participants found that on-screen flickering targets stepping up or down in frequency can be recognized as brain-control commands, but they did not classify more accurately than conventional fixed-frequency flicker. Mean normalized accuracies were 89.7% for fixed frequency, 85.6% for ascending and 89.5% for descending patterns, a statistically insignificant difference. Low-frequency stimulation at 6–10 Hz reached 90.8%, versus 80.6% at 41–45 Hz. Sequences of three consecutive commands averaged 91.5 ± 9.6%, with accuracy falling as sequences grew longer. The researchers see the main value in more flexible design of consecutive commands and say larger samples and online closed-loop testing are needed.
August 2026

Few-Shot Calibration Raises EEG Emotion Decoding Accuracy to 0.77

Researchers at Walailak University in Thailand tested EEG-based emotion recognition under auditory stimulation, scoring valence and arousal. Discrete wavelet transform features reached 0.88 accuracy when classifiers were trained and tested on the same subject, but leave-one-subject-out evaluation fell to near chance, exposing how far EEG emotion signatures differ between people. Few-shot adaptation closed part of that gap: with 75% of a new subject's calibration data, functional connectivity features reached 0.77.
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