Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation

Lin Yao, Jianjun Meng, Dingguo Zhang, Xinjun Sheng, Xiangyang Zhu

Research output: Contribution to journalArticle

30 Scopus citations

Abstract

In this work, mechanical vibrotactile stimulation was applied to subjects' left and right wrist skins with equal intensity, and a selective sensation perception task was performed to achieve two types of selections similar to motor imagery Brain-Computer Interface. The proposed system was based on event-related desynchronization/synchronization (ERD/ERS), which had a correlation with processing of afferent inflow in human somatosensory system, and attentional effect which modulated the ERD/ERS. The experiments were carried out on nine subjects (without experience in selective sensation), and six of them showed a discrimination accuracy above 80%, three of them above 95%. Comparative experiments with motor imagery (with and without presence of stimulation) were also carried out, which further showed the feasibility of selective sensation as an alternative BCI task complementary to motor imagery. Specifically there was significant improvement (P < 0.01) from near 65% in motor imagery (with and without presence of stimulation) to above 80% in selective sensation on some subjects. The proposed BCI modality might well cooperate with existing BCI modalities in the literature in enlarging the widespread usage of BCI system.

Original languageEnglish (US)
Article numbere64784
JournalPloS one
Volume8
Issue number6
DOIs
StatePublished - Jun 6 2013

Fingerprint Dive into the research topics of 'Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation'. Together they form a unique fingerprint.

  • Cite this