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      Geometrical analysis of motion schemes on fencing experts from competition videos

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          Abstract

          Geometrical fencing is a scientific approach to fencing pioneered by Camillo Agrippa in the XVIth century which consists of characterizing the geometrical structure of fencing movements. Many geometrical spaces are involved in a duel, which evolve over time according to the skills of the fencers and the game rules. In this article, the concept of motion scheme is introduced as a flexible geometrical structure to represent fencing spaces evolving over time. The method is applied to the video of a duel of the Olympic games 2016. Five main results are presented. First, decisive actions of the duel are deduced from the distance between fencers. Second, footwork is reconstructed from horizontal movements of the feet. Third, a kinematic model is developed and compared with data in the literature. Fourth, the lunge attack is characterized and compared with data in the literature. Fifth, the role of the free hand is studied in the case of protective and balancing gestures. These findings provide rich information on the geometrical structure of fencing movements as well as on the tactical-strategic choices made by the fencers in real competition conditions. Finally, four applications illustrate the scientific value of motion schemes in fencing and other sports.

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          Most cited references29

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          A schema theory of discrete motor skill learning.

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            Neuronal bases of peripersonal and extrapersonal spaces, their plasticity and their dynamics: knowns and unknowns.

            While space is perceived as unitary, experimental evidence indicates that the brain actually contains a modular representation of space, specific cortical regions being involved in the processing of extra-personal space, that is the space that is far away from the subject and that cannot be directly acted upon by the body, while other cortical regions process peripersonal space, that is the space that directly surrounds us and which we can act upon. In the present review, we focus on non-human primate research and we review the single cells, areal and cortical functional network mechanisms that are proposed to underlie extrapersonal and peripersonal space representations. Importantly, the current dominant framework for the study of peripersonal space is centered on the key notion that actions and specifically arm and hand-related actions, shape cortical peripersonal space representations. In the present review, we propose to enlarge this framework to include other variables that have the potential to shape peripersonal space representations, namely emotional and social information. In the initial section of the manuscript, we thus first provide an extensive up-to-date review of the low level sensory and oculomotor signals that contribute to the construction of a core cortical far and near space representation, in key parietal, premotor and prefrontal periarcuate cortical regions. We then highlight the key functional properties that are needed to encode peripersonal space and we narrow down our discussion to the specific parietal and periarcuate areas that share these properties: the parieto-premotor peripersonal space network and the parieto-premotor network for grasping. Last, we review evidence for a changing peripersonal space representation. While plastic changes in peripersonal space representation have been described during tool use and their underlying neural bases have been well characterized, the description of dynamical changes in peripersonal space representation as a function of the emotional or social context is quite novel and relies on behavioral human studies. The neural bases of such a dynamic adjustments of peripersonal space coding are yet unknown. We thus review these novel observations and we discuss their putative underlying neural bases.
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              The Coordination and Regulation of Movements

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SoftwareRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2021
                30 December 2021
                : 16
                : 12
                : e0261888
                Affiliations
                [001] Centre Borelli UMR 9010, Université de Paris, CNRS, Paris, France
                Universiteit Hasselt Faculteit Wetenschappen, BELGIUM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-3959-9121
                Article
                PONE-D-20-39975
                10.1371/journal.pone.0261888
                8717994
                34969042
                79abbc49-623b-45ad-8c62-671c7fb65c8b
                © 2021 Magnani, Defrasne Ait-Said

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 December 2020
                : 13 December 2021
                Page count
                Figures: 33, Tables: 1, Pages: 36
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100009506, Université Paris 13;
                Award ID: GIS AAP-2019
                Award Recipient :
                This study was funded by the Scientific Interest Group “Jeu et Sociétés” (Université Paris 13, GIS AAP-2019, to ED and CM): https://ludocorpus.org. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no additional external funding received for this study.
                Categories
                Research Article
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Skeleton
                Skeletal Joints
                Knees
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Skeleton
                Skeletal Joints
                Knees
                Biology and Life Sciences
                Anatomy
                Body Limbs
                Legs
                Knees
                Medicine and Health Sciences
                Anatomy
                Body Limbs
                Legs
                Knees
                Biology and Life Sciences
                Psychology
                Behavior
                Recreation
                Sports
                Social Sciences
                Psychology
                Behavior
                Recreation
                Sports
                Biology and Life Sciences
                Sports Science
                Sports
                Physical Sciences
                Physics
                Classical Mechanics
                Motion
                Velocity
                Physical Sciences
                Physics
                Classical Mechanics
                Motion
                Biology and Life Sciences
                Anatomy
                Body Limbs
                Legs
                Ankles
                Medicine and Health Sciences
                Anatomy
                Body Limbs
                Legs
                Ankles
                Physical Sciences
                Physics
                Classical Mechanics
                Kinematics
                Physical Sciences
                Physics
                Classical Mechanics
                Thrust
                Biology and Life Sciences
                Psychology
                Behavior
                Human Performance
                Social Sciences
                Psychology
                Behavior
                Human Performance
                Custom metadata
                The data underlying the results presented in our article are publicly available on YouTube and specified in our bibliography in [ 6], [ 21], [ 22], [ 23], [ 24], [ 25] including the timing of sequences analyzed.

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