E
Enrico Chiovetto
Researcher at University of Tübingen
Publications - 30
Citations - 511
Enrico Chiovetto is an academic researcher from University of Tübingen. The author has contributed to research in topics: Motor control & Kinematics. The author has an hindex of 11, co-authored 28 publications receiving 406 citations. Previous affiliations of Enrico Chiovetto include University of Genoa & Istituto Italiano di Tecnologia.
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Journal ArticleDOI
Evidence for composite cost functions in arm movement planning: an inverse optimal control approach.
TL;DR: The results thus support the cost combination hypothesis and demonstrate that the recorded movements were closely linked to the combination of two complementary functions related to mechanical energy expenditure and joint-level smoothness.
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Tri-dimensional and triphasic muscle organization of whole-body pointing movements.
TL;DR: The present findings link together, in a hierarchical view of motor control, the joint coordination characterizing whole-body pointing movements with a basic muscle synergistic organization, namely a triphasic pattern.
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Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies
Enrico Chiovetto,Bastien Berret,Bastien Berret,Ioannis Delis,Ioannis Delis,Ioannis Delis,Stefano Panzeri,Stefano Panzeri,Thierry Pozzo,Thierry Pozzo,Thierry Pozzo +10 more
TL;DR: The findings support the notion that each EMG decomposition provides a set of well-interpretable muscle synergies, identifying reduction of dimensionality in different aspects of the movements.
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''Manifold reaching paradigm: how do we handle target redundancy?''
TL;DR: It is concluded that target redundancy is first overcome during movement planning and then exploited during movement execution, in agreement with stochastic optimal feedback control principles, which illustrates how the complementary problems of goal and movement selection may be resolved at once.
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Low-dimensional organization of angular momentum during walking on a narrow beam.
TL;DR: Findings support the hypothesis that control strategies for complex balancing tasks might be easier to understand by investigating angular momentum instead of the segmental kinematics.