A regression model for Digital Representation of Juggling

A regression model for Digital Representation of Juggling

The present paper presents a methodology to identify regularities in motion trajectories and encode them into a reduced order model. The model has been developed for being trained with real data captured during the execution of complex and articulated motions, having several phases each. The prese...

Full description

Bibliographic Details
Main Authors: Avizzano Carlo Alberto, Lippi Vittorio
Format: Article
Language:English
Published: EDP Sciences 2011-12-01
Series:BIO Web of Conferences
Online Access:http://dx.doi.org/10.1051/bioconf/20110100006
id doaj-5e37edb586be49fa822a61385adbdc00
record_format Article
spelling doaj-5e37edb586be49fa822a61385adbdc002021-04-02T19:40:55ZengEDP SciencesBIO Web of Conferences2117-44582011-12-0110000610.1051/bioconf/20110100006A regression model for Digital Representation of JugglingAvizzano Carlo AlbertoLippi VittorioThe present paper presents a methodology to identify regularities in motion trajectories and encode them into a reduced order model. The model has been developed for being trained with real data captured during the execution of complex and articulated motions, having several phases each. The presented model possesses relevant features that make it adequate for motion representation, among these we will discuss: stability, generalization, optimization, adaptation and external dynamic synchronization. Practical examples taken from ball throwing and catching will be given.http://dx.doi.org/10.1051/bioconf/20110100006
collection DOAJ
language English
format Article
sources DOAJ
author Avizzano Carlo Alberto
Lippi Vittorio
spellingShingle Avizzano Carlo Alberto
Lippi Vittorio
A regression model for Digital Representation of Juggling
BIO Web of Conferences
author_facet Avizzano Carlo Alberto
Lippi Vittorio
author_sort Avizzano Carlo Alberto
title A regression model for Digital Representation of Juggling
title_short A regression model for Digital Representation of Juggling
title_full A regression model for Digital Representation of Juggling
title_fullStr A regression model for Digital Representation of Juggling
title_full_unstemmed A regression model for Digital Representation of Juggling
title_sort regression model for digital representation of juggling
publisher EDP Sciences
series BIO Web of Conferences
issn 2117-4458
publishDate 2011-12-01
description The present paper presents a methodology to identify regularities in motion trajectories and encode them into a reduced order model. The model has been developed for being trained with real data captured during the execution of complex and articulated motions, having several phases each. The presented model possesses relevant features that make it adequate for motion representation, among these we will discuss: stability, generalization, optimization, adaptation and external dynamic synchronization. Practical examples taken from ball throwing and catching will be given.
url http://dx.doi.org/10.1051/bioconf/20110100006
work_keys_str_mv AT avizzanocarloalberto aregressionmodelfordigitalrepresentationofjuggling
AT lippivittorio aregressionmodelfordigitalrepresentationofjuggling
AT avizzanocarloalberto regressionmodelfordigitalrepresentationofjuggling
AT lippivittorio regressionmodelfordigitalrepresentationofjuggling
_version_ 1721548472721604608

Similar Items