User Identification from Gait Analysis Using Multi-Modal Sensors in Smart Insole.

Choi, Sang-Il; Moon, Jucheol; Park, Hee-Chan; Choi, Sang Tae

Choi, Sang-Il; Moon, Jucheol; Park, Hee-Chan; Choi, Sang Tae.

Choi SI; Department of Computer Science and Engineering, Dankook University, Yongin 16890, Korea.
Moon J; Department of Computer Engineering and Computer Science, California State University Long Beach, Long Beach, CA 90840, USA.
Park HC; Department of Computer Science and Engineering, Dankook University, Yongin 16890, Korea.
Choi ST; Department of Internal Medicine, Chung-Ang University, Seoul 06984, Korea. beconst@cau.ac.kr.

Sensors (Basel) ; 19(17)2019 Aug 31.

Article en En | MEDLINE | ID: mdl-31480467

Asunto(s)

Marcha/fisiología; Dispositivos Electrónicos Vestibles; Acelerometría; Adulto; Algoritmos; Análisis Discriminante; Femenino; Análisis de la Marcha; Humanos; Masculino; Zapatos; Adulto Joven

Palabras clave

gait analysis; linear discriminant analysis; multi-modal feature; multi-modal sensors; smart insole; user identification; wearable sensor

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Dispositivos Electrónicos Vestibles / Marcha Tipo de estudio: Diagnostic_studies Límite: Adult / Female / Humans / Male Idioma: En Año: 2019 Tipo del documento: Article

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