Innovations in Fitness Assessment and Monitoring in Sport
A special issue of Journal of Functional Morphology and Kinesiology (ISSN 2411-5142). This special issue belongs to the section "Athletic Training and Human Performance".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 681
Special Issue Editor
Special Issue Information
Dear Colleagues,
Fitness assessment and monitoring are essential tools for understanding athletes’ physical capabilities, guiding training decisions, and preventing injury. With rapid advances in technology and methodology, sports science is experiencing a transformation in how performance is evaluated and monitored over time. The aim of this Special Issue of the Journal of Functional Morphology and Kinesiology, titled “Innovations in Fitness Assessment and Monitoring in Sport”, is to highlight novel approaches, tools, and applications that advance the precision, efficiency, and accessibility of fitness assessment.
We invite researchers to contribute original studies, systematic reviews, and applied perspectives that explore the development, validation, and practical use of innovative assessment techniques. Of particular interest are contributions that integrate new technologies, data analytics, and wearable devices to capture meaningful indicators of sport performance and health.
Topics of interest include, but are not limited to, the following:
- Novel methods for assessing physical fitness and sport-specific performance;
- Advances in wearable technologies and monitoring devices;
- Data-driven approaches to tracking training load, recovery, and readiness;
- Field-based testing protocols that enhance ecological validity;
- Applications of fitness assessment in youth, elite, tactical, and clinical sport populations.
Through this Special Issue, we aim to promote innovations that support evidence-based practice and optimize athlete performance and well-being.
Dr. Kyle Beyer
Guest Editor
Manuscript Submission Information
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Keywords
- athlete monitoring
- wearable technology
- training load
- reliability and validity
- physiological profiling
- injury prevention
- data analytics
- key performance indicators
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