First analysis of gymnastics landing load prediction using LSTM neural network based on acceleration data

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SPIRE - Sciences Po Institutional REpository
Published
2024-12-03
Primary Topic
Muscle activation and electromyography studies
Type
article
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article

First analysis of gymnastics landing load prediction using LSTM neural network based on acceleration data

Charles Pontonnier, Mathieu Aucejo, Diane Haering, Suzon Pucheu
SPIRE - Sciences Po Institutional REpository
Muscle activation and electromyography studies
article

First analysis of gymnastics landing load prediction using LSTM neural network based on acceleration data

Charles Pontonnier, Mathieu Aucejo, Diane Haering, Suzon Pucheu
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Conservatoire National des Arts et Métiers (FR), Université Rennes 2 (FR), Laboratoire Mouvement Sport Santé (FR), Université de Rennes (FR)
Openalex Percentile: Top 79%
Muscle activation and electromyography studies
Open Access PDFOpenAlex
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First analysis of gymnastics landing load prediction using LSTM neural network based on acceleration data — Charles Pontonnier, Mathieu Aucejo, et al. · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS