A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
EEG-based trial-by-trial texture classification during active touch
2020
Scientific Reports
AbstractTrial-by-trial texture classification analysis and identifying salient texture related EEG features during active touch that are minimally influenced by movement type and frequency conditions are the main contributions of this work. A total of twelve healthy subjects were recruited. Each subject was instructed to use the fingertip of their dominant hand's index finger to rub or tap three textured surfaces (smooth flat, medium rough, and rough) with three levels of movement frequency
doi:10.1038/s41598-020-77439-7
pmid:33247177
fatcat:udxlcxxl2rfpvbboefe7zsxehe