Automatic gate-to-gate time recognition from audio recordings in slalom skiing using neural networks

We introduce a novel approach for computing gate-to-gate time automatically from audio recordings. In slalom skiing, gate-to-gate timing is a valuable metric for athletes and trainers, capturing the time elapsed between slalom gates. The availability of these measurements immediately after each run...

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Detalhes bibliográficos

Principais autores:	Friedrich Menhorn, Chris Hummel, Andreas Huber, Karlheinz Waibel, Hans-Joachim Bungartz, Peter Spitzenpfeil
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Bern Open Publishing 2024-05-01
Colecção:	Current Issues in Sport Science
Assuntos:	performing analysis inline slalom alpine skiing slalom machine learning
Acesso em linha:	https://ciss-journal.org/article/view/9967
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