IoT System for Real-Time Posture Asymmetry Detection.

La Mura, Monica; De Gregorio, Marco; Lamberti, Patrizia; Tucci, Vincenzo

La Mura, Monica; De Gregorio, Marco; Lamberti, Patrizia; Tucci, Vincenzo.

Afiliación

La Mura M; Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, SA, Italy.
De Gregorio M; Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, SA, Italy.
Lamberti P; Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, SA, Italy.
Tucci V; Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, SA, Italy.

Sensors (Basel) ; 23(10)2023 May 17.

Article en En | MEDLINE | ID: mdl-37430744

Asunto(s)

Postura; Sedestación; Humanos; Algoritmos; Bases de Datos Factuales; Internet

Palabras clave

IoT; digital health; force sensing resistors (FSR); monitoring; posture; real-time

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Postura / Sedestación Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

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