Article

Generalisation in Human Motor Learning : Experimental and Modelling Studies

2009-01-01

Abstract excerpt

Humans can interact with their environment by tuning the properties of the musculoskeletal system to control force and impedance at the contact points with the environment. Many activities that require the use of tools, such as handling a screwdriver or chisel, involve an unstable interaction with the environment. This instability will amplify any disturbance or noise and cause unpredictable motion. For example, w...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 670946e9-df9f-538a-8cc0-aa48a5a4495d
DOI: 10.25560/4385

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Generalisation in Human Motor Learning : Experimental and Modelling StudiesDOI 10.25560/4385Read

Generalizing movement patterns following shoulder fixationSemantic proximity Read

Changes in Muscle Synergy Structure and Activation Patterns Underlie Force Field Adaptation, Retention, and GeneralizationSemantic proximity Read

Tuning of Task-Relevant Stiffness in Multiple DirectionsSemantic proximity Read

Task-Relevant Haptic Feedback Improves Asymptotic Performance in de novo Arm Control AcquisitionSemantic proximity Read

Human-Robot Variable Impedance Skill Transfer Learning Based on Dynamic Movement Primitives and Vision SystemSemantic proximity Read

Representation and interaction of sensorimotor learning processesSemantic proximity Read

Should bionic limb control mimic the human body? Impact of control strategy on bionic hand skill learningSemantic proximity Read

De Novo Sensorimotor Learning Through Reuse of Movement ComponentsSemantic proximity Read

Durability of Motor Learning by ObservingSemantic proximity Read

Long-term development of a motor memorySemantic proximity Read

The Effects of Motor Modularity on Performance, Learning, and Generalizability in Upper-Extremity Reaching: a Computational AnalysisSemantic proximity Read

Exploration-based learning of a stabilizing controller predicts locomotor adaptationSemantic proximity Read