Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors

Getting a good feature representation of data is paramount for Human Activity Recognition (HAR) using wearable sensors. An increasing number of feature learning approaches—in particular deep-learning based—have been proposed to extract an effective feature representation by analyzing large amounts o...

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Detalles Bibliográficos
Autores principales: Li, Frédéric, Shirahama, Kimiaki, Nisar, Muhammad Adeel, Köping, Lukas, Grzegorzek, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855052/
https://www.ncbi.nlm.nih.gov/pubmed/29495310
http://dx.doi.org/10.3390/s18020679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855052/
https://www.ncbi.nlm.nih.gov/pubmed/29495310
http://dx.doi.org/10.3390/s18020679

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