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A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory
Smartphones have emerged as a revolutionary technology for monitoring everyday life, and they have played an important role in Human Activity Recognition (HAR) due to its ubiquity. The sensors embedded in these devices allows recognizing human behaviors using machine learning techniques. However, no...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7181294/ https://ncbi.nlm.nih.gov/pubmed/32230830 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20071856 |
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