title: Support vector machines categorize the scaling of human grip configurations.
abstract: In previous work (Cesari & Newell, 2002), we used a graphical dimensional analysis to show that grip transitions obey the body-scaled relation K = lnL(o) + InM(o)h/(a + bM(h) + cL(h)), where L. and Mo are the object's length and mass, and Lh and Mh the length and mass of the grasper's hand. However, the generality of the equation was limited by the ad hoc graphical method that defined the lines for grip separation and by the assumption that these lines be negatively sloped and parallel to one another. This article reports an independent test of this relation by the geometrical and statistical categorization of body-scaled invariants for the transition of human grip configurations through support vector machines (SVMs). The SVM analysis confirmed the fit of linear, negatively sloped, and approximately parallel transition boundaries in the scaling of human grip configuration within a single hand. The SVM analysis has provided a theoretical refinement to the scaling model of human grip configurations.
authors.affiliation: University of Verona, Verona, Italy. pcesari@univr.it
authors.forename: Paola
authors.initials: P
authors.lastname: Cesari
authors.forename: Francesca
authors.initials: F
authors.lastname: Chiaromonte
authors.forename: Karl M
authors.initials: KM
authors.lastname: Newell
mesh_terms: D018737:Hand Strength; D006801:Humans; D008960:Models, Psychological; D010364:Pattern Recognition, Visual; D011589:Psychology, Experimental / Q000295:instrumentation* / Q000706:statistics & numerical data*