Teachers
Federico Gennaro
Department of Biomedical Sciences, Università degli Studi di Padova,
federico.gennaro[at]unipd.it
MEDF-01/A

Aim
This course aims to provide basic cross-disciplinary knowledge based on the intersection of different topics: human movement sciences, neurophysiology, and computer sciences. Theory and, when possible, practical hands-on sessions will provide the necessary toolkit for a sound basic understanding of wearable sensors and big data analysis methods applied to sport performance analysis.

Syllabus
 - 5 “Ws” of sport technology for performance analysis in team and individual sports.
- Techniques and technologies of sport performances analysis by external workload (e.g., Inertial Measurement Units).
- Techniques and technologies of sport performances analysis by internal workload (e.g., wireless surface electromyography and electroencephalography).
- Big Data, Machine Learning and Artificial Intelligence applied to sport technology for performance analysis.
- Choosing the right sports technique and technology for performance analysis: Focus on the interpretation of different outcomes.

Course requirements
None

Examination modality
None

Course material, enrollment and last minute notifications
Made available by the teacher at this Moodle address

Schedule and Location

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