Data-Driven Insights: Intelligent Sensors and Technology in Sports Science

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

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