Data and Code for "A primitive-based representation of dance: Modulations by experience and perceptual validity"

dc.contributor	Hegele, Mathias
dc.contributor	Endres, Dominik
dc.contributor.author	Leh, Amalaswintha
dc.date.accessioned	2023-08-21T04:57:23Z
dc.date.available	2023-08-21T04:57:23Z
dc.date.issued	2023
dc.description.abstract	Motion capture data (.BVH and .C3D) and code for "A primitive-based representation of dance: Modulations by experience and perceptual validity". Code includes the Temporal movement primitive model (requires PyTorch; https://pytorch.org) and code for a Bayesian ANCOVA (requires PyMC; https://www.pymc.io).	de_DE
dc.description.sponsorship	Bundesländer	de_DE
dc.identifier.uri	https://jlupub.ub.uni-giessen.de//handle/jlupub/16268
dc.identifier.uri	http://dx.doi.org/10.22029/jlupub-15651
dc.language.iso	en	de_DE
dc.relation	https://doi.org/10.1152/jn.00161.2023
dc.rights	Attribution-NonCommercial-ShareAlike 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.subject	Movement Primitives	de_DE
dc.subject	Dance	de_DE
dc.subject	Motion Capture	de_DE
dc.subject	Motor Experience	de_DE
dc.subject.ddc	ddc:150	de_DE
dc.subject.ddc	ddc:792	de_DE
dc.subject.ddc	ddc:796	de_DE
dc.title	Data and Code for "A primitive-based representation of dance: Modulations by experience and perceptual validity"	de_DE
dc.type	Collection	de_DE
local.affiliation	FB 06 - Psychologie und Sportwissenschaft	de_DE
local.project	The Adaptive Mind	de_DE