Model selection for the extraction of movement primitives

Model selection for the extraction of movement primitives

A wide range of blind source separation methods have been used in motor control research for the extraction of <br/>movement primitives from EMG and kinematic data. Popular examples are principal component analysis (PCA),<br/>independent component analysis (ICA), anechoic demixing, and t...

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Bibliographic Details
Main Authors: Dominik M Endres, Enrico eChiovetto, Martin eGiese
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-12-01
Series:Frontiers in Computational Neuroscience
Subjects:
bayesian methods
Model selection
blind source separation
Motor Primitives
movement primitives
temporal smoothing
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00185/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00185/full

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