Advanced Sensing Technologies in Sports Biomechanics
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 30 July 2026 | Viewed by 6
Special Issue Editors
Interests: biomechanics; human locomotion; sports performance
Special Issues, Collections and Topics in MDPI journals
Interests: biomechanics; human locomotion; sports performance
Special Issues, Collections and Topics in MDPI journals
Interests: biomechanics; human locomotion; sports performance
Special Issues, Collections and Topics in MDPI journals
Interests: biomechanics; human locomotion; sports performance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advanced sensing technologies are reshaping sports biomechanics by providing highly accurate, real-time measurements of human motion, mechanical load, and performance. This Special Issue focuses on how both wearable and non-wearable sensors enable deeper insights into movement patterns, technique optimization, injury prevention, and training monitoring.
This Special Issue welcomes studies that develop, validate, or apply innovative sensing systems, as well as approaches involving signal processing, artificial intelligence, machine learning, or biomechanical modeling that enhance the interpretation and practical deployment of sensor-based data. The goal is to gather strong scientific evidence and advanced methodologies that improve accuracy, accessibility, and applicability of sensing technologies in real sports settings.
The topic fits squarely within the scope of Sensors, as it integrates sensor development, implementation, and evaluation with a domain—sports biomechanics—where reliable measurement is essential for performance and health. Contributions from engineering, biomechanics, sports science, data science, and related fields are encouraged.
Prof. Dr. Alejandro Molina-Molina
Prof. Dr. Luis Enrique Roche-Seruendo
Prof. Dr. Antonio Cartón-Llorente
Dr. Alberto Rubio-Peirotén
Guest Editors
Manuscript Submission Information
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Keywords
- sports
- biomechanics
- sensors
- wearable technology
- IMUs
- motion capture
- force platforms
- computer vision
- AI in sport
- performance analysis
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