Classification of Walking Environments Using Deep Learning Approach Based on Surface EMG Sensors Only.

Kim, Pankwon; Lee, Jinkyu; Shin, Choongsoo S

Kim, Pankwon; Lee, Jinkyu; Shin, Choongsoo S.

Afiliação

Kim P; Department of Mechanical Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea.
Lee J; Department of Mechanical Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea.
Shin CS; Department of Mechanical Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea.

Sensors (Basel) ; 21(12)2021 Jun 18.

Article em En | MEDLINE | ID: mdl-34207448

Assuntos

Aprendizado Profundo; Caminhada; Eletromiografia; Humanos; Perna (Membro); Músculo Esquelético

Palavras-chave

artificial neural network; deep learning; non-handcrafted feature; surface electromyography (sEMG); walking environments

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Caminhada / Aprendizado Profundo Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article

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