The integration of wearable sensors with artificial intelligence forms the base for analyzing physical activities through digital signal processing, numerical methods, and machine learning. Computational intelligence and communication technologies enable personalized monitoring, training, and rehabilitation, with applications in sports, neurology, and biomedicine. This paper focuses on motion analysis in alpine skiing using real accelerometric, gyroscopic, positioning, and video data to evaluate ski movement patterns.

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Documentation: 
[1] Ales Prochazka, Hana Charvatova, "Skiing Data Analysis", IEEE Dataport, 2025. [Online]. Available: http://dx.doi.org/10.21227/qebb-nf33. Accessed: Apr. 19, 2025.
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doi = {10.21227/qebb-nf33},
url = {http://dx.doi.org/10.21227/qebb-nf33},
author = {Ales Prochazka; Hana Charvatova },
publisher = {IEEE Dataport},
title = {Skiing Data Analysis},
year = {2025} }
TY - DATA
T1 - Skiing Data Analysis
AU - Ales Prochazka; Hana Charvatova
PY - 2025
PB - IEEE Dataport
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Ales Prochazka, Hana Charvatova. (2025). Skiing Data Analysis. IEEE Dataport. http://dx.doi.org/10.21227/qebb-nf33
Ales Prochazka, Hana Charvatova, 2025. Skiing Data Analysis. Available at: http://dx.doi.org/10.21227/qebb-nf33.
Ales Prochazka, Hana Charvatova. (2025). "Skiing Data Analysis." Web.
1. Ales Prochazka, Hana Charvatova. Skiing Data Analysis [Internet]. IEEE Dataport; 2025. Available from : http://dx.doi.org/10.21227/qebb-nf33
Ales Prochazka, Hana Charvatova. "Skiing Data Analysis." doi: 10.21227/qebb-nf33