From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning.

Stoeve, Maike; Schuldhaus, Dominik; Gamp, Axel; Zwick, Constantin; Eskofier, Bjoern M

Stoeve, Maike; Schuldhaus, Dominik; Gamp, Axel; Zwick, Constantin; Eskofier, Bjoern M.

Afiliação

Stoeve M; Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052 Erlangen, Germany.
Schuldhaus D; Adidas AG, 91074 Herzogenaurach, Germany.
Gamp A; Adidas AG, 91074 Herzogenaurach, Germany.
Zwick C; Adidas AG, 91074 Herzogenaurach, Germany.
Eskofier BM; Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052 Erlangen, Germany.

Sensors (Basel) ; 21(9)2021 Apr 28.

Article em En | MEDLINE | ID: mdl-33924985

Assuntos

Aprendizado Profundo; Futebol Americano; Humanos; Laboratórios; Aprendizado de Máquina; Redes Neurais de Computação

Palavras-chave

activity recognition; data analysis; deep learning; sensor-signal-based machine learning; sport; wearable sensors

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Futebol Americano / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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