3P1-O03 Extraction of robust tactile-motor patterns from in-hand manipulation using data glove with high spatiotemproal resolutions(Sense, Motion and Measurement (2))

Abstract

Physiological studies about hand manipulation have revealed coordination between precision grips and tactile information. Recently, development of data glove allows us to extend the measuring area from fingertips to entire hand and investigate more dynamic hand manipulation. However, there are few studies which characterize hand manipulation with high spatio-temporal resolutions. Here, we investigated how hand manipulation of rotating objects changes according to task difficulty using a data glove with high spatio-temporal resolutions, which can simultaneously measure both tactile inputs and hand motions. We characterized hand manipulation by tactile motor patterns which are robust at both temporal timing and every trials. As a result, we find that such robust tactile-motor patterns are localized in phase of each task. Moreover, we suggest that when task difficulty increases human doesn't change such robust tactile-motor patterns, but adds new patterns to those at an easy task.