Sensor Techniques and Methods for Sports Science: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 25 December 2025 | Viewed by 28
Special Issue Editor
Interests: biomechanical research in sports; biomechanical modeling; human motion analysis; performance analysis; computer science in sport
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Contemporary motion analysis in individual and team sports is based on acquiring a wide variety of parameters. Information derived from recorded data makes it possible, for example, to evaluate the quality of movement and actions performed in a game in order to make recommendations for further movement or future tactical behavior. In training impact analysis, parameter values are determined that characterize external loads such as work, power, or speed and describe biological and physiological adaptation processes such as the heart rate. This allows training processes to be documented and recommendations for further training design to be derived. The range of sensors and sensor technologies that can be considered for these and related areas of application is constantly growing. A major challenge is to extract relevant information from the collected, sometimes extensive, data material. The use of new machine learning methods has shown promising results here. This Special Issue focuses on innovative sensors and sensor technologies relevant to sports science. These include technologies for determining the type and duration of physical activities, object tracking, measuring force, sweat, oxygen saturation, muscle activity, breathing rate, body temperature, and other vital parameters. In addition, methods for processing and analyzing sensor-based data will be considered.
Prof. Dr. Arnold Baca
Guest Editor
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Keywords
- biomarkers
- biomechanics
- heart rate
- machine learning
- motion analysis
- sports equipment technology
- tracking
- workload
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Related Special Issue
- Sensor Techniques and Methods for Sports Science in Sensors (18 articles)
