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 original | Inglés |
|---|---|
| Número de artículo | 28 |
| Publicación | Journal of Sensor and Actuator Networks |
| Volumen | 6 |
| N.º | 4 |
| DOI | |
| Estado | Publicada - 24 nov. 2017 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 3: Salud y bienestar
Huella
Profundice en los temas de investigación de 'Wearable-based human activity recognition using an IoT Approach'. En conjunto forman una huella única.Citar esto
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