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A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices
We have compared the performance of different machine learning techniques for human activity recognition. Experiments were made using a benchmark dataset where each subject wore a device in the pocket and another on the wrist. The dataset comprises thirteen activities, including physical activities,...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6386875/ https://ncbi.nlm.nih.gov/pubmed/30691177 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19030521 |
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