Document Detail


Avoiding spurious submovement decompositions: a globally optimal algorithm.
MedLine Citation:
PMID:  14504938     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Evidence for the existence of discrete submovements underlying continuous human movement has motivated many attempts to "extract" them. Although they produce visually convincing results, all of the methodologies that have been employed are prone to produce spurious decompositions. Examples of potential failures are given. A branch-and-bound algorithm for submovement extraction, capable of global nonlinear minimization (and hence capable of avoiding spurious decompositions), is developed and demonstrated.
Authors:
Brandon Rohrer; Neville Hogan
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Publication Detail:
Type:  Comparative Study; Journal Article     Date:  2003-07-09
Journal Detail:
Title:  Biological cybernetics     Volume:  89     ISSN:  0340-1200     ISO Abbreviation:  Biol Cybern     Publication Date:  2003 Sep 
Date Detail:
Created Date:  2003-09-23     Completed Date:  2003-11-17     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7502533     Medline TA:  Biol Cybern     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  190-9     Citation Subset:  IM    
Affiliation:
Intelligent Systems and Robotics Center, Sandia National Laboratories, Albuquerque, NM 87185, USA. brrohre@sandia.gov
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Auditory Perception
Biomechanics
Computer Simulation
Feedback / physiology
Humans
Models, Biological*
Motion*
Movement / physiology*
Nonlinear Dynamics
Psychomotor Performance / physiology*
Reaction Time

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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