Decomposing Juggling Skill into Sequencing, Prediction, and Accuracy: A Computational Model with Low-Gravity VR Training

Juggling is a complex motor skill that requires multiple sub-skills and cannot be mastered without extensive practice. Although prior studies have quantified performance differences between novice and expert jugglers, none have attempted to quantitatively decompose these components or model their co...

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Autori principali:	Wanhee Cho, Makoto Kobayashi, Hiroyuki Kambara, Hirokazu Tanaka, Takahiro Kagawa, Makoto Sato, Hyeonseok Kim, Makoto Miyakoshi, Scott Makeig, John Rehner Iversen, Natsue Yoshimura
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-01-01
Serie:	Sensors
Soggetti:	3-ball juggling computational model computer vision motion capture multimodal evaluation system
Accesso online:	https://www.mdpi.com/1424-8220/26/1/294
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