Kasidit Kokkhunthod

Kasidit Kokkhunthod


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 July 2026 in AI
Verified
Journal Article
Open access
PDF file
KKKasidit Kokkhunthod
Kasidit Kokkhunthod
TJTalit Jumphoo
Talit Jumphoo
WPWongsathon Pathonsuwan
Wongsathon Pathonsuwan
ARAtcharawan Rattanasak
Atcharawan Rattanasak
RNRattikan NUALSRI
Rattikan NUALSRI
MUMonthippa Uthansakul
Monthippa Uthansakul
Wearable vibrotactile devices are increasingly used in virtual reality, teleoperation and neurorehabilitation, but objective EEG evaluation of glove-mediated touch remains limited. We compared EEG recorded during natural object interaction with EEG recorded when tactile feedback was reproduced through a vibrotactile smart glove. Data were collected with an eight-channel wireless headset while participants interacted with three object types (bottle, cube, and sphere) in natural-touch and glove-mediated conditions. An exploratory model trained on natural-touch data and tested on glove-mediated trials yielded rounded cross-condition accuracies of 83%, 78%, and 68% for bottle vs. rest, cube vs. rest, and sphere vs. rest, respectively. These findings suggest that some object-related EEG patterns may carry across conditions, but they should not be interpreted as evidence of physiological equivalence. Supplementary analyses using repeated-run evaluation, band-power and ERD/ERS summaries, temporal-window inspection, and channel ablation were included as cautious interpretability checks. The results underscore the need for larger subject-independent studies, stronger artifact-control pipelines, formal statistical testing, and richer haptic conditions before asserting equivalence to natural touch.