Modeling motor learning in juggling: A Bayesian approach

Mu Qiao

doi:10.1016/j.humov.2025.103414

Modeling motor learning in juggling: A Bayesian approach

Mu Qiao

Kinesiology

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	103414
Journal	Human Movement Science
Volume	104
DOIs	https://doi.org/10.1016/j.humov.2025.103414
State	Published - Dec 2025

ASJC Scopus Subject Areas

Biophysics
Experimental and Cognitive Psychology
Orthopedics and Sports Medicine

Keywords

Accuracy
Exploratory study
Longitudinal study
Probabilistic model
Skill acquisition

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10.1016/j.humov.2025.103414

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@article{520247ae47a049e9945cc23cfd4f8e33,

title = "Modeling motor learning in juggling: A Bayesian approach",

keywords = "Accuracy, Exploratory study, Longitudinal study, Probabilistic model, Skill acquisition",

author = "Mu Qiao",

note = "Publisher Copyright: {\textcopyright} 2025 Elsevier B.V.",

year = "2025",

month = dec,

doi = "10.1016/j.humov.2025.103414",

language = "English",

volume = "104",

journal = "Human Movement Science",

issn = "0167-9457",

}

TY - JOUR

T1 - Modeling motor learning in juggling

T2 - A Bayesian approach

AU - Qiao, Mu

PY - 2025/12

Y1 - 2025/12

KW - Accuracy

KW - Exploratory study

KW - Longitudinal study

KW - Probabilistic model

KW - Skill acquisition

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UR - https://www.scopus.com/pages/publications/105017702658#tab=citedBy

U2 - 10.1016/j.humov.2025.103414

DO - 10.1016/j.humov.2025.103414

M3 - Article

C2 - 41067064

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SN - 0167-9457

VL - 104

JO - Human Movement Science

JF - Human Movement Science

M1 - 103414

ER -

Modeling motor learning in juggling: A Bayesian approach

ASJC Scopus Subject Areas

Keywords

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