Movement Path Data Generation from Wi-Fi Fingerprints for Recurrent Neural Networks

The recurrent neural network (RNN) model, which is a deep-learning network that can memorize past information, is used in this paper to memorize continuous movements in indoor positioning to reduce positioning error. To use an RNN model in Wi-Fi-fingerprint based indoor positioning, data set must be...

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Detalles Bibliográficos
Autores principales: Shin, Hong-Gi, Choi, Yong-Hoon, Yoon, Chang-Pyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073539/
https://www.ncbi.nlm.nih.gov/pubmed/33923847
http://dx.doi.org/10.3390/s21082823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073539/
https://www.ncbi.nlm.nih.gov/pubmed/33923847
http://dx.doi.org/10.3390/s21082823

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