Data-Driven Insights: Intelligent Sensors and Technology in Sports Science
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 173
Special Issue Editors
2. Department of Sports Science, Exercise and Health, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal
3. Department of Sports Sciences and Physical Education, University of Maia, 4475-690 Maia, Portugal
Interests: team sports performance analysis; comprehensive player monitoring during training and off-training periods; sports technology; data analysis and visualization
2. IGOID Research Group, Department of Physical Activity and Sport Sciences, University of Castilla-La Mancha, Toledo, Spain
Interests: physical activity; sport sciences; sport technology; sport surfaces
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Special Issue Information
Dear Colleagues,
The increasing sophistication of intelligent sensors and data science is transforming sports science, offering new opportunities to enhance performance analysis, training optimization, and athlete well-being. Advances in wearable technology, tracking systems, and physiological monitoring enable sports professionals to collect detailed data on workload distribution, performance efficiency, and physiological responses. However, despite these advancements, a critical challenge remains: refining data interpretation methods to ensure that raw sensor outputs translate into meaningful and actionable insights for training strategies, competition dynamics, and injury prevention.
Addressing these challenges requires a multidisciplinary approach, integrating technology with applied sports science. This Special Issue explores the cutting-edge applications of intelligent sensors and data-driven methodologies in sports performance. We encourage submissions that examine AI and machine learning in real-time decision-making, training load adjustments, and recovery optimization. Research on multimodal sensor data and predictive analytics for player tracking, talent identification, sleep monitoring, and competition performance is also welcomed.
By bridging technology and applied sports science, this Special Issue highlights how intelligent sensors and data science will shape the future of performance assessment and athlete development. We welcome original research, systematic reviews, and case studies that foster interdisciplinary collaboration to drive innovation in athlete monitoring and performance assessment.
Prof. Dr. Nuno Mateus
Prof. Dr. Jose Luis Felipe Hernández
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data science
- intelligent sensors
- multimodal sensor data in sports
- technology in sports science
- training and performance modeling
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