Search Results - "Lynch, Sean Dean"

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  1. 1

    Detection of deceptive motions in rugby from visual motion cues by Lynch, Sean Dean, Olivier, Anne-Hélène, Bideau, Benoit, Kulpa, Richard

    Published in PloS one (13-09-2019)
    “…Frequently, in rugby, players incorporate deceptive motions (e.g., a side-step) in order to pass their opponent. Previous works showed that expert defenders…”
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    Journal Article
  2. 2

    Collision Avoidance With Multiple Walkers: Sequential or Simultaneous Interactions? by Meerhoff, Laurentius Antonius, Pettré, Julien, Lynch, Sean Dean, Crétual, Armel, Olivier, Anne-Hélène

    Published in Frontiers in psychology (30-11-2018)
    “…Collision avoidance between multiple walkers, such as pedestrians in a crowd, is based on a reciprocal coupling between the walkers with a continuous loop…”
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    Journal Article
  3. 3

    Helical Axis Data Visualization and Analysis of the Knee Joint Articulation by Millán Vaquero, Ricardo Manuel, Vais, Alexander, Dean Lynch, Sean, Rzepecki, Jan, Friese, Karl-Ingo, Hurschler, Christof, Wolter, Franz-Erich

    Published in Journal of biomechanical engineering (01-09-2016)
    “…We present processing methods and visualization techniques for accurately characterizing and interpreting kinematical data of flexion-extension motion of the…”
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    Journal Article
  4. 4

    UTAUT2-based questionnaire: cross-cultural adaptation to Canadian French by Pagé, Isabelle, Roos, Marianne, Collin, Olivier, Lynch, Sean Dean, Lamontagne, Marie-Eve, Massé-Alarie, Hugo, K. Blanchette, Andréanne

    Published in Disability and rehabilitation (13-02-2023)
    “…The extended version of the Unified Theory of Acceptance and Use of Technology (UTAUT2) aims to better understand acceptance of technology. The objective of…”
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  5. 5

    Collision Avoidance Behavior between Walkers: Global and Local Motion Cues by Lynch, Sean Dean, Kulpa, Richard, Meerhoff, Laurentius Antonius, Pettre, Julien, Cretual, Armel, Olivier, Anne-Helene

    “…Daily activities require agents to interact with each other, such as during collision avoidance. The nature of visual information that is used for a collision…”
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