ArticleFrontiers in psychology2020
Can Individual Movement Characteristics Across Different Throwing Disciplines Be Identified in High-Performance Decathletes?
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- External Focus or Differential Learning: Is There an Additive Effect on Learning a Futsal Goal Kick?International journal of environmental research and public health · 2021Trial
- Artificial Intelligence in Sub-Elite Youth Football Players: Predicting Recovery Through Machine Learning Integration of Physical, Technical, Tactical and Maturational Data.Healthcare (Basel, Switzerland) · 2025Article
- Effect of resistance training on kinetic and kinematic indicators in jump athletes: a systematic review.BMC sports science, medicine & rehabilitation · 2025Article
- Acute effects of motor learning models on technical efficiency in strength-coordination exercises: a comparative analysis of Olympic snatch biomechanics in beginners.Biology of sport · 2025Article
- Unveiling the acute neurophysiological responses to strength training: An exploratory study on novices performing weightlifting bouts with different motor learning models.Biology of sport · 2024Article
- Unveiling individuality in the early phase of motor learning: a machine learning approach for analysing weightlifting technique in novices.Frontiers in bioengineering and biotechnology · 2024Article
- Resonance Effects in Variable Practice for Handball, Basketball, and Volleyball Skills: A Study on Contextual Interference and Differential Learning.Sports (Basel, Switzerland) · 2023Article
- Predicting object properties based on movement kinematics.Brain informatics · 2023Article
- Comparing the Effects of Differential and Visuo-Motor Training on Functional Performance, Biomechanical, and Psychological Factors in Athletes after ACL Reconstruction: A Randomized Controlled Trial.Journal of clinical medicine · 2023Article
- Modeling biological individuality using machine learning: A study on human gait.Computational and structural biotechnology journal · 2023Article
- Identifying underlying individuality across running, walking, and handwriting patterns with conditional cycle-consistent generative adversarial networks.Frontiers in bioengineering and biotechnology · 2023Article
- Physical fitness and motor competence performance characteristics of Chinese elite youth athletes from four track and field throwing disciplines-a cross-sectional study.Frontiers in physiology · 2023Article
- Differential Repeated Sprinting Training in Youth Basketball Players: An Analysis of Effects According to Maturity Status.International journal of environmental research and public health · 2022Article
- Learning Multiple Movements in Parallel-Accurately and in Random Order, or Each with Added Noise?International journal of environmental research and public health · 2022Article
- Acute effects from the half-squat performed using a repetition versus differential approach in youth soccer players.BMC sports science, medicine & rehabilitation · 2022Article
- Always Pay Attention to Which Model of Motor Learning You Are Using.International journal of environmental research and public health · 2022Review
- The Effect of Differential Repeated Sprint Training on Physical Performance in Female Basketball Players: A Pilot Study.International journal of environmental research and public health · 2021Article
- Want to Impact Physical, Technical, and Tactical Performance during Basketball Small-Sided Games in Youth Athletes? Try Differential Learning Beforehand.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.