Human hand impedance characteristics during maintained posture

DOI10.1007/BF00199890zbMath0828.92010DBLPjournals/bc/TsujiMGI95OpenAlexW2039696452WikidataQ71882101 ScholiaQ71882101MaRDI QIDQ1898098

Toshio Tsuji, Pietro G. Morasso, Kazuhiro Goto, Koji Ito

Publication date: 14 December 1995

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00199890

zbMATH Keywords

viscositymulti-joint arm movementsstiffness ellipsesforce- displacement vectorshuman hand impedanceinertia matricessecond-order linear model

Mathematics Subject Classification ID

Neural biology (92C20) Biomechanics (92C10) Physiological, cellular and medical topics (92C99)

Related Items (7)

Adjustment of the human arm viscoelastic properties to the direction of reaching ⋮ Neural computations underlying the exertion of force: A model ⋮ Analysis of mechanical impedance in human arm movements using a virtual tennis system ⋮ Computational model of motor learning and perceptual change ⋮ Redundancy, Self-Motion, and Motor Control ⋮ Switchings Between Trajectory Tracking and Force Minimization in Human–Robot Collaboration ⋮ An adaptive arm’s mechanical impedance estimator for rehabilitation robots without force and acceleration sensors

Cites Work

• A hierarchical neural-network model for control and learning of voluntary movement
• Handicapped individua in evolutionary processes
• The control of hand equilibrium trajectories in multi-joint arm movements
• Virtual trajectory and stiffness ellipse during multijoint arm movement predicted by neural inverse models

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