Horst Fabian, Janssen Daniel, Beckmann Hendrik, Schöllhorn Wolfgang I
Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, Mainz, Germany.
Gymnasium Dionysianum, Rheine, Germany.
Front Psychol. 2020 Sep 18;11:2262. doi: 10.3389/fpsyg.2020.02262. eCollection 2020.
Although the individuality of whole-body movements has been suspected for years, the scientific proof and systematic investigation that individuals possess unique movement patterns did not manifest until the introduction of the criteria of uniqueness and persistence from the field of forensic science. Applying the criteria of uniqueness and persistence to the individuality of motor learning processes requires complex strategies due to the problem of persistence in the learning processes. One approach is to examine the learning process of different movements. For this purpose, it is necessary to differentiate between two components of movement patterns: the individual-specific component and the discipline-specific component. To this end, a kinematic analysis of the shot put, discus, and javelin throwing movements of seven high-performance decathletes during a qualification competition was conducted. In total, joint angle waveforms of 57 throws formed the basis for the recognition task of individual- and discipline-specific throwing patterns using a support vector machine. The results reveal that the kinematic throwing patterns of the three disciplines could be distinguished across athletes with a prediction accuracy of up to 100% (57 of 57 throws). In addition, athlete-specific throwing characteristics could also be identified across the three disciplines. Prediction accuracies of up to 52.6% indicated that up to 10 out of 19 throws of a discipline could be assigned to the correct athletes, based on only knowing these athletes from the kinematic throwing patterns in the other two disciplines. The results further suggest that individual throwing characteristics across disciplines are more pronounced in shot put and discus throwing than in javelin throwing. Applications for training and learning practice in sports and therapy are discussed. In summary, the chosen approach offers a broad field of application related to the search of individualized optimal movement solutions in sports.
尽管多年来人们一直怀疑全身运动具有个体差异,但直到法医学领域引入独特性和持续性标准后,个体拥有独特运动模式的科学证据和系统研究才得以显现。由于学习过程中的持续性问题,将独特性和持续性标准应用于运动学习过程的个体差异需要复杂的策略。一种方法是研究不同运动的学习过程。为此,有必要区分运动模式的两个组成部分:个体特定部分和学科特定部分。为此,对七名高水平十项全能运动员在资格赛中的铅球、铁饼和标枪投掷动作进行了运动学分析。总共57次投掷的关节角度波形构成了使用支持向量机识别个体和学科特定投掷模式的基础。结果表明,这三个项目的运动学投掷模式在不同运动员之间能够被区分,预测准确率高达100%(57次投掷中的57次)。此外,还能在这三个项目中识别出运动员特定的投掷特征。高达52.6%的预测准确率表明,仅根据其他两个项目的运动学投掷模式了解这些运动员,一个项目中19次投掷中最多有10次可以被准确地归到正确的运动员名下。结果还进一步表明,跨项目的个体投掷特征在铅球和铁饼投掷中比在标枪投掷中更为明显。文中讨论了在体育和治疗中的训练与学习实践应用。总之,所采用的方法为在体育领域寻找个性化最佳运动解决方案提供了广阔的应用前景。