Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network.

Mundt, Marion; Koeppe, Arnd; David, Sina; Witter, Tom; Bamer, Franz; Potthast, Wolfgang; Markert, Bernd

Mundt, Marion; Koeppe, Arnd; David, Sina; Witter, Tom; Bamer, Franz; Potthast, Wolfgang; Markert, Bernd.

Afiliación

Mundt M; Institute of General Mechanics, RWTH Aachen University, Aachen, Germany.
Koeppe A; Institute of General Mechanics, RWTH Aachen University, Aachen, Germany.
David S; Institute of Biomechanics and Orthopeadics, German Sport University Cologne, Cologne, Germany.
Witter T; Institute of General Mechanics, RWTH Aachen University, Aachen, Germany.
Bamer F; Institute of General Mechanics, RWTH Aachen University, Aachen, Germany.
Potthast W; Institute of Biomechanics and Orthopeadics, German Sport University Cologne, Cologne, Germany.
Markert B; Institute of General Mechanics, RWTH Aachen University, Aachen, Germany.

Front Bioeng Biotechnol ; 8: 41, 2020.

Article en En | MEDLINE | ID: mdl-32117923

Palabras clave

artificial neural networks; data simulation; inertial sensors; machine learning; motion analysis; wearable sensors

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Bioeng Biotechnol Año: 2020 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza

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