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Sensors and Wearable Technologies in Sport Biomechanics—Second Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 304

Special Issue Editors


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Guest Editor
Rehabilitation Engineering Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, USA
Interests: biomechanics; computational modeling; diabetic complicatioins; exercise physiology; microcirculation; signal analysis; wound healing
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Guest Editor
Department of Creative Product Design, Asia University, Taichung, Taiwan
Interests: sensor and system development; machanie learning; biomechanics
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Guest Editor
Department of Biomedical Engineering, Hungkuang University, Taichung, Taiwan
Interests: biomedical signal processing; biomechanics
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Guest Editor

Special Issue Information

Dear Colleagues,

Sport biomechanics is a subfield of biomechanics that studies mechanics to improve performance and reduce injury during exercise and physical activities in abled-bodied people and people with disabilities. Traditionally, sport biomechanics research has been conducted in laboratory settings that limit the generalization of research findings to real-life field competitions. Recent advancements on sensors and wearable technologies have provided new opportunities to examine the field performance and provide real-time feedback for athletes. These sensors and wearable technologies include physiological (e.g., heart rate), neurological (e.g., brain waves), biochemical (e.g., metabolites) and biomechanical (e.g., force) sensors.

Although these sensors and wearable technologies have demonstrated the promise to improve sport performance and reduce injury in sport biomechanics, these novel sensors have not been widely applied to study various sport activities (e.g., speed skating, football and marathon). Many novel wearable sensors for assessing cardiovascular and metabolic process have not been used to benefit athletes. Furthermore, data collected from these wearable sensors have not been fully analyzed. This aim of this Special Issue is to highlight these novel sensors and wearable technologies and their applications in sport biomechanics as well as machine learning-based analyses of real-time, continuous wearable sensor data.

Dr. Yih-Kuen Jan
Dr. Chi-Wen Lung
Dr. Ben-Yi Liau
Dr. Manuel E. Hernandez
Guest Editors

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Keywords

  • novel sensors for monitoring the musculoskeletal system during exercise
  • wearable sensors for impact and shock forces and real-time feedback
  • wearable sensors for early detection of injury
  • novel sensor data processing and synthesis
  • computational modeling of sensor data
  • machine learning for classifying sensor data
  • methods to improve long-term usage of wearable sensors

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Published Papers (1 paper)

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Research

17 pages, 2754 KB  
Article
Exploring the Determinants and Correlates of Health-Enhancing Physical Activity of Adults in Eastern Poland
by Marian J. Stelmach, Joanna Baj-Korpak, Ewelina Niźnikowska, Barbara Bergier, Michał Bergier, Dorota Tomczyszyn, Adam Szepeluk and Paulo Rocha
Sensors 2025, 25(18), 5665; https://doi.org/10.3390/s25185665 - 11 Sep 2025
Abstract
In Poland—especially in the less developed eastern regions—the level of health-enhancing physical activity (HEPA) remains below the WHO recommendations, and its determinants are not yet fully understood. The study was conducted as part of the international EUPASMOS PLUS project on a sample of [...] Read more.
In Poland—especially in the less developed eastern regions—the level of health-enhancing physical activity (HEPA) remains below the WHO recommendations, and its determinants are not yet fully understood. The study was conducted as part of the international EUPASMOS PLUS project on a sample of 173 adult individuals living in eastern Poland. Physical activity was measured using accelerometers worn continuously for seven days (24/7). The duration of moderate and vigorous physical activity as well as episodes of physical activity lasting at least 10 min were analyzed. The median daily MVPA time was 50 min, and the median VPA time only 10 s, both below WHO recommendations of 150 min/week of MVPA or 75 min/week of VPA. Overall, more than 70% of participants did not meet the recommended levels. The level of HEPA was found to be below WHO recommendations, especially among men, individuals over 50 years old, and those who were professionally inactive. Higher physical activity levels were recorded among women and younger participants. Significant correlations were found between HEPA level and self-rated health status (ρ = 0.28–0.38, p < 0.001), as well as body mass index and waist circumference (ρ ≈ −0.20 to −0.30, p < 0.01). Although statistically significant, the effect sizes were small to moderate, indicating limited explanatory power. Unemployment negatively affected MVPA and VPA levels, while household size positively correlated with physical activity. Interventions promoting HEPA should consider demographic and regional diversity, with particular focus on less active groups such as older adults and the unemployed. It is also necessary to develop new screening tools aimed at easy and quick diagnosis of social groups that should be targeted by HEPA promotion strategies. Full article
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