A Deep Learning Model for 3D Ground Reaction Force Estimation Using Shoes with Three Uniaxial Load Cells.

Kim, Junggil; Kang, Hyeon; Lee, Seulgi; Choi, Jinseung; Tack, Gyerae

Kim, Junggil; Kang, Hyeon; Lee, Seulgi; Choi, Jinseung; Tack, Gyerae.

Afiliación

Kim J; Department of Biomedical Engineering, Konkuk University, Chungju 27478, Republic of Korea.
Kang H; Department of Biomedical Engineering, Konkuk University, Chungju 27478, Republic of Korea.
Lee S; Department of Biomedical Engineering, Konkuk University, Chungju 27478, Republic of Korea.
Choi J; Department of Biomedical Engineering, Konkuk University, Chungju 27478, Republic of Korea.
Tack G; BK21 Plus Research Institute of Biomedical Engineering, Konkuk University, Chungju 27478, Republic of Korea.

Sensors (Basel) ; 23(7)2023 Mar 24.

Article en En | MEDLINE | ID: mdl-37050487

Asunto(s)

Aprendizaje Profundo; Zapatos; Humanos; Fenómenos Biomecánicos; Marcha/fisiología; Caminata/fisiología

Palabras clave

gait; load cell; seq2seq LSTM; three-axis ground reaction force estimation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Zapatos / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article

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