Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Dynamic interactions between limb segments during planar arm movement

M J Hollerbach, T Flash

    Biological Cybernetics
    |January 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Stereotypical reaching movements of the octopus involve both bend propagation and arm elongation.

    Bioinspiration & biomimetics·2015
    Same author

    Arm trajectory modifications during reaching towards visual targets.

    Journal of cognitive neuroscience·2013
    Same author

    A model of the learning of arm trajectories from spatial deviations.

    Journal of cognitive neuroscience·2013
    Same author

    The superposition strategy for arm trajectory modification in robotic manipulators.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2008
    Same author

    Reproduction of self-rotation duration.

    Neuroscience letters·2006
    Same author

    Intrinsic joint kinematic planning. II: hand-path predictions based on a Listing's plane constraint.

    Experimental brain research·2005

    Understanding multi-joint limb movement requires analyzing dynamic interactions and external forces like gravity. This study assesses interaction forces during shoulder and elbow reaching movements, presenting strategies to simplify dynamic computations.

    Area of Science:

    • Biomechanics
    • Robotics
    • Human Movement Science

    Background:

    • Multi-segment limb movement necessitates complex joint torque generation.
    • Interaction torques (inertial, centripetal, Coriolis) are absent in single-joint movements.
    • Understanding these dynamics is crucial for human and robotic motion control.

    Purpose of the Study:

    • To quantify the significance of individual interaction forces during multi-joint reaching movements.
    • To analyze these forces across various movement paths and speeds.
    • To develop simplified trajectory formation strategies for dynamic computations.

    Main Methods:

    • Simulations of reaching movements in a horizontal plane involving shoulder and elbow joints.
    • Analysis of inertial, centripetal, and Coriolis forces during movement.

    Related Experiment Videos

  • Assessment of force contributions under different kinematic conditions.

    • Main Results:

    • Interaction torques significantly influence multi-joint limb dynamics.
    • The relative importance of interaction forces varies with movement path and speed.
    • Identified specific movement strategies that reduce dynamic computation complexity.

    Conclusions:

    • Dynamic interactions are a critical component of multi-joint limb movement control.
    • Simplified computational models can effectively represent these movements.
    • Findings inform the design of more efficient robotic and prosthetic systems.