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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Detalles Bibliográficos
Autor principal: Wang, Lukun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801566/
https://www.ncbi.nlm.nih.gov/pubmed/26861319
http://dx.doi.org/10.3390/s16020189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801566/
https://www.ncbi.nlm.nih.gov/pubmed/26861319
http://dx.doi.org/10.3390/s16020189

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