Sensor Techniques and Methods for Sports Science
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 25 June 2024 | Viewed by 237
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 the acquisition of a wide variety of parameters. Information derived from recorded data makes it possible, for example, to evaluate the quality of movement and game actions performed 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 or 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 very extensive data material. The use of new machine learning methods is showing 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 are considered.
Prof. Dr. Arnold Baca
Guest Editor
Manuscript Submission Information
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Keywords
- biomarkers
- biomechanics
- heart rate
- machine learning
- motion analysis
- sports equipment technology
- tracking
- workload
