Ambulatory Human Gait Phase Detection Using Wearable Inertial Sensors and Hidden Markov Model.

Liu, Long; Wang, Huihui; Li, Haorui; Liu, Jiayi; Qiu, Sen; Zhao, Hongyu; Guo, Xiangyang

Liu, Long; Wang, Huihui; Li, Haorui; Liu, Jiayi; Qiu, Sen; Zhao, Hongyu; Guo, Xiangyang.

Afiliação

Liu L; Department of Electrical & Information Engineering, Dalian Neusoft University of Information, Dalian 116023, China.
Wang H; School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China.
Li H; School of Fundamental Education, Dalian Neusoft University of Information, Dalian 116023, China.
Liu J; School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China.
Qiu S; School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China.
Zhao H; School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China.
Guo X; School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China.

Sensors (Basel) ; 21(4)2021 Feb 14.

Article em En | MEDLINE | ID: mdl-33672828

Assuntos

Marcha; Dispositivos Eletrônicos Vestíveis; Fenômenos Biomecânicos; Humanos

Palavras-chave

body sensor network; gait analysis; gyroscope; hidden Markov model; information fusion

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Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Assunto principal: Dispositivos Eletrônicos Vestíveis / Marcha Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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