Symmetry/Asymmetry in Sport Biomechanics

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Life Sciences".

Deadline for manuscript submissions: closed (31 December 2025) | Viewed by 1558

Special Issue Editors


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Guest Editor
Department of Biotechnology and Life Sciences (DBSV), University of Insubria, 21100 Varese, Italy
Interests: infrared thermography; physical activity; sport sciences; cognition and exercise; health behavior
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Special Issue Information

Dear Colleagues,

The Special Issue entitled “Symmetry/Asymmetry in Sport Biomechanics” in the Symmetry journal’s Life Sciences section invites original research and review articles that explore the role of symmetry and asymmetry in sports biomechanics. Topics of interest include the biomechanical analysis of movement patterns, the impact of asymmetry on performance and injury risk, methods to assess and correct asymmetries and the influence of training on symmetry in athletes. Studies utilising advanced technologies such as motion capture, wearable sensors and machine learning to investigate symmetry and asymmetry in sports are particularly encouraged. This issue aims to deepen the understanding of how symmetry and asymmetry affect athletic performance and health, offering insights for coaches, trainers and healthcare professionals.

Prof. Dr. Luca Paolo Ardigò
Dr. Damiano Formenti
Guest Editors

Manuscript Submission Information

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Keywords

  • symmetry
  • asymmetry
  • sports biomechanics
  • movement analysis
  • injury prevention
  • performance optimization
  • motion capture
  • wearable sensors
  • athletic training
  • biomechanical assessment

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Published Papers (1 paper)

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Research

17 pages, 5283 KB  
Article
VAE-Based Rhythm Disturbance Index Correlates with Bilateral Symmetry Breakdown in Human Motion
by Yadong Liang, Jingsong Liu, Xilin Cui, Xuanyong Zhu, Jie Liu and Xingbin Du
Symmetry 2025, 17(12), 2092; https://doi.org/10.3390/sym17122092 - 5 Dec 2025
Viewed by 784
Abstract
Rhythm disturbances during human exercise represent a critical challenge for both physiological monitoring and athlete safety. To address this, a structure-enhanced β-TCVAE framework was proposed that derives a Rhythm Disturbance Index (RDI) from multimodal wearable sensor signals. RDI demonstrated a strong correlation with [...] Read more.
Rhythm disturbances during human exercise represent a critical challenge for both physiological monitoring and athlete safety. To address this, a structure-enhanced β-TCVAE framework was proposed that derives a Rhythm Disturbance Index (RDI) from multimodal wearable sensor signals. RDI demonstrated a strong correlation with bilateral imbalance (r = 0.838, R2 = 0.702) and achieved high discriminative performance (ROC-AUC = 0.823). Importantly, its weak and non-significant correlation with heart rate (r = 0.0569, p > 0.05) supported independence from cardiovascular load, underscoring its specificity to motor rhythm rather than systemic exertion. Analyses conducted on multimodal datasets further validated the robustness of this correlation, showing that RDI consistently aligns with disruptions in locomotor symmetry even after controlling for heart rate. This quantifiable coupling between rhythmic instability and symmetry loss positions RDI as a dual correlational indicator, sensitively reflecting both neuromuscular rhythm irregularities and axial imbalance. Such dual insight enables continuous and objective monitoring of locomotor quality, empowering coaches, clinicians, and sports scientists to tailor training strategies, optimize performance, and reduce the risk of injury. By integrating advanced variational reasoning with real-time wearable sensing, the proposed framework offers an evidence-based step forward in precision monitoring and risk assessment for athletes. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry in Sport Biomechanics)
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