Recognition of Gait Patterns in Older Adults Using Wearable Smartwatch Devices: Observational Study.

Kim, Hyeon-Joo; Kim, Hyejoo; Park, Jinyoon; Oh, Bumjo; Kim, Seung-Chan

Kim, Hyeon-Joo; Kim, Hyejoo; Park, Jinyoon; Oh, Bumjo; Kim, Seung-Chan.

Afiliação

Kim HJ; Machine Learning Systems Lab, College of Sports Science, Sungkyunkwan University, Suwon, Republic of Korea.
Kim H; Machine Learning Systems Lab, College of Sports Science, Sungkyunkwan University, Suwon, Republic of Korea.
Park J; Machine Learning Systems Lab, College of Sports Science, Sungkyunkwan University, Suwon, Republic of Korea.
Oh B; Department of Family Medicine, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Kim SC; Machine Learning Systems Lab, College of Sports Science, Sungkyunkwan University, Suwon, Republic of Korea.

J Med Internet Res ; 24(8): e39190, 2022 08 24.

Article em En | MEDLINE | ID: mdl-36001374

Assuntos

Marcha; Dispositivos Eletrônicos Vestíveis; Idoso; Humanos

Palavras-chave

activity recognition; gait analysis; health monitoring; mHealth; machine learning; mobile health; neural network; sequence classification; wearable

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dispositivos Eletrônicos Vestíveis / Marcha Tipo de estudo: Observational_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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