Bayesian geodesic path for human motor control

Despite a near-infinite number of possible movement trajectories, our body movements exhibit certain invariant features across individuals; for example, when grasping a cup, individuals choose an approximately linear path from the hand to the cup. Based on these experimental findings, many researche...

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Veröffentlicht in:	Neural networks 2017-09, Vol.93, p.137-142
1. Verfasser:	Takiyama, Ken
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Bayesian Biomechanical Phenomena Extended Kalman filter Geodesic path Hand - physiology Humans Motor control Movement Neural Networks (Computer) Stochastic control
Online-Zugang:	Volltext
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