Wearable-based human activity recognition using an IoT Approach

Diego Castro, William Coral, Camilo Rodriguez, Jose Cabra, Julian Colorado

Producción: Contribución a una revistaArtículorevisión exhaustiva

65 Citas (Scopus)

Resumen

This paper presents a novel system based on the Internet of Things (IoT) to Human Activity Recognition (HAR) by monitoring vital signs remotely. We use machine learning algorithms to determine the activity done within four pre-established categories (lie, sit, walk and jog). Meanwhile, it is able to give feedback during and after the activity is performed, using a remote monitoring component with remote visualization and programmable alarms. This system was successfully implemented with a 95.83% success ratio.

Idioma originalInglés
Número de artículo28
PublicaciónJournal of Sensor and Actuator Networks
Volumen6
N.º4
DOI
EstadoPublicada - 24 nov. 2017

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