Minimum jerk for human catching movements in 3D

Nadine Fligge, Joseph McIntyre, Patrick Van Der Smagt

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    25 Citations (Scopus)

    Abstract

    To investigate fast human reaching movements in 3D, we asked 11 right-handed persons to catch a tennis ball while we tracked the movements of their arms. To ensure consistent trajectories of the ball, we used a catapult to throw the ball from three different positions. Tangential velocity profiles of the hand were in general bell-shaped and hand movements in 3D coincided with well known results for 2D point-to-point movements such as minimum jerk theory or the 2/3rd power law. Furthermore, two phases, consisting of fast reaching and slower fine movements at the end of hand placement could clearly be seen. The aim of this study was to find a way to generate human-like (catching) trajectories for a humanoid robot.

    Original languageEnglish
    Title of host publication2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
    Pages581-586
    Number of pages6
    DOIs
    Publication statusPublished - 2012
    Event2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012 - Rome, Italy
    Duration: 24 Jun 201227 Jun 2012

    Publication series

    NameProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
    ISSN (Print)2155-1774

    Conference

    Conference2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
    Country/TerritoryItaly
    CityRome
    Period24/06/1227/06/12

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