Participants interacted with a bottle, cube and sphere under natural-touch and vibrotactile-glove conditions while eight-channel EEG was recorded. A model trained on natural touch and tested on glove trials achieved rounded cross-condition accuracies of 83%, 78% and 68% for the three objects. Some object-related EEG structure transferred across conditions, but the authors explicitly caution that this does not demonstrate physiological equivalence.
Key findings
- Cross-condition accuracies were 83%, 78% and 68%. • Some EEG structure transferred from natural to glove-mediated touch. • The results do not establish physiological equivalence.
Why this matters globally
EEG-based evaluation could improve haptic interfaces for VR, teleoperation and neurorehabilitation beyond subjective user ratings.
Thai researcher contribution
Suranaree University of Technology integrates haptic engineering, brain signals and AI in one experimental platform.
Limitations to consider
Participant count is absent; the exploratory results may be affected by movement, muscle artifacts or leakage and require larger subject-independent validation.
Verify the original sources
AIAI↗DOI: 10.3390/ai7070262