Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96206
Title: Analysis of accuracy in pointing with redundant hand-held tools : a geometric approach to the uncontrolled manifold method
Authors: Widjaja, Ferdinan
Xu, Hong
Ang, Wei Tech
Burdet, Etienne
Campolo, Domenico
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2013
Source: Campolo, D., Widjaja, F., Xu, H., Ang, W. T., & Burdet, E. (2013). Analysis of Accuracy in Pointing with Redundant Hand-held Tools: A Geometric Approach to the Uncontrolled Manifold Method. PLoS Computational Biology, 9(4), e1002978.
Series/Report no.: PLoS computational biology
Abstract: This work introduces a coordinate-independent method to analyse movement variability of tasks performed with hand-held tools, such as a pen or a surgical scalpel. We extend the classical uncontrolled manifold (UCM) approach by exploiting the geometry of rigid body motions, used to describe tool configurations. In particular, we analyse variability during a static pointing task with a hand-held tool, where subjects are asked to keep the tool tip in steady contact with another object. In this case the tool is redundant with respect to the task, as subjects control position/orientation of the tool, i.e. 6 degrees-of-freedom (dof), to maintain the tool tip position (3dof) steady. To test the new method, subjects performed a pointing task with and without arm support. The additional dof introduced in the unsupported condition, injecting more variability into the system, represented a resource to minimise variability in the task space via coordinated motion. The results show that all of the seven subjects channeled more variability along directions not directly affecting the task (UCM), consistent with previous literature but now shown in a coordinate-independent way. Variability in the unsupported condition was only slightly larger at the endpoint but much larger in the UCM.
URI: https://hdl.handle.net/10356/96206
http://hdl.handle.net/10220/11896
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1002978
Schools: School of Humanities and Social Sciences 
School of Mechanical and Aerospace Engineering 
Rights: © 2013 The Authors. This paper was published in PLoS Computational Biology and is made available as an electronic reprint (preprint) with permission of The Authors. The paper can be found at the following official DOI: [http://dx.doi.org/10.1371/journal.pcbi.1002978]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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