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Including visual criteria into predictive simulation of acrobatics to enhance the realism of optimal techniques.

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Title: Including visual criteria into predictive simulation of acrobatics to enhance the realism of optimal techniques.
Authors: Charbonneau, Eve, Romeas, Thomas, Ross, Annie, Begon, Mickaël
Source: Sports Biomechanics; May2026, Vol. 25 Issue 5, p726-748, 23p
Subject Terms: Gymnastics, Safety, Scale analysis (Psychology), Biomechanics, Motor ability, Prediction models, Research funding, Aesthetics, Diffusion of innovations, Kinematics, Eye movement measurements, Interviewing, Physical training & conditioning, Simulation methods in education, Research methodology, Needs assessment, Visual perception, Athletic ability
Abstract: Although trampolinists rely heavily on visual cues, visual criteria have not been introduced into predictive simulations yet. We aimed to introduce visual criteria into predictive simulations of the backward somersault with a twist and the double backward somersault in pike position including 1½ twists in the first somersault and ½ twist in the second somersault to generate innovative and safe optimal acrobatic techniques. A gradient of different weightings, ranging from none to large visual weights, was tested to find a good compromise between visual vs kinematics objectives. Four international coaches and two international judges assessed animations of the optimal techniques and of an elite athlete's technique, providing insights into the acceptability of the optimal techniques. For the most complex acrobatics, coaches found all optimal techniques more efficient for aerial twist creation. However, they perceived them as less safe, less realistic, similarly aesthetic, and similarly appropriate for visual information intake compared with the athlete's technique. Judges assigned fewer deductions to the simulated techniques than to the athlete's performance. The optimal techniques with visual criteria were more similar to the athlete's technique, highlighting the importance of including visual criteria into the optimisation of acrobatics to create innovative techniques that athletes will be able to use. [ABSTRACT FROM AUTHOR]
Copyright of Sports Biomechanics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Including visual criteria into predictive simulation of acrobatics to enhance the realism of optimal techniques.
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  Data: Sports Biomechanics; May2026, Vol. 25 Issue 5, p726-748, 23p
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– Name: Abstract
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  Data: Although trampolinists rely heavily on visual cues, visual criteria have not been introduced into predictive simulations yet. We aimed to introduce visual criteria into predictive simulations of the backward somersault with a twist and the double backward somersault in pike position including 1½ twists in the first somersault and ½ twist in the second somersault to generate innovative and safe optimal acrobatic techniques. A gradient of different weightings, ranging from none to large visual weights, was tested to find a good compromise between visual vs kinematics objectives. Four international coaches and two international judges assessed animations of the optimal techniques and of an elite athlete's technique, providing insights into the acceptability of the optimal techniques. For the most complex acrobatics, coaches found all optimal techniques more efficient for aerial twist creation. However, they perceived them as less safe, less realistic, similarly aesthetic, and similarly appropriate for visual information intake compared with the athlete's technique. Judges assigned fewer deductions to the simulated techniques than to the athlete's performance. The optimal techniques with visual criteria were more similar to the athlete's technique, highlighting the importance of including visual criteria into the optimisation of acrobatics to create innovative techniques that athletes will be able to use. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Sports Biomechanics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/14763141.2025.2577924
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 726
    Subjects:
      – SubjectFull: Gymnastics
        Type: general
      – SubjectFull: Safety
        Type: general
      – SubjectFull: Scale analysis (Psychology)
        Type: general
      – SubjectFull: Biomechanics
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      – SubjectFull: Motor ability
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      – SubjectFull: Prediction models
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      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Aesthetics
        Type: general
      – SubjectFull: Diffusion of innovations
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      – SubjectFull: Kinematics
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      – SubjectFull: Eye movement measurements
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      – SubjectFull: Interviewing
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      – SubjectFull: Simulation methods in education
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      – SubjectFull: Research methodology
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      – SubjectFull: Needs assessment
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      – SubjectFull: Visual perception
        Type: general
      – SubjectFull: Athletic ability
        Type: general
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      – TitleFull: Including visual criteria into predictive simulation of acrobatics to enhance the realism of optimal techniques.
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            NameFull: Romeas, Thomas
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            NameFull: Ross, Annie
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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