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Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model
Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports, and smart homes. Smartphones incorporated with varieties of motion sensors like accelerometers and gyroscope...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6983014/ https://ncbi.nlm.nih.gov/pubmed/31935943 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20010317 |
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