Wearable-Based Human Activity Recognition Using an IoT Approach
作者： , , , ,
DOI: 10.3390/JSAN6040028
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摘要: 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 determine activity done within four pre-established categories (lie, sit, walk and jog). Meanwhile, it is able give feedback during after performed, using remote component with visualization programmable alarms. was successfully implemented 95.83% success ratio.
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