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Recognition of Human Activities Using Continuous Autoencoders with Wearable Sensors
This paper provides an approach for recognizing human activities with wearable sensors. The continuous autoencoder (CAE) as a novel stochastic neural network model is proposed which improves the ability of model continuous data. CAE adds Gaussian random units into the improved sigmoid activation fun...
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| Pubblicato in: | Sensors (Basel) |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4801566/ https://ncbi.nlm.nih.gov/pubmed/26861319 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16020189 |
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