JSAN, Vol. 6, Pages 28: Wearable-Based Human Activity Recognition Using and IoT Approach

JSAN, Vol. 6, Pages 28: Wearable-Based Human Activity Recognition Using and IoT Approach

Journal of Sensor and Actuator Networks doi: 10.3390/jsan6040028

Authors: Diego Castro William Coral Camilo Rodriguez Jose Cabra Julian Colorado

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.

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