Toward ubiquitous sensing: Researchers turn WiFi signals into human activity patterns

Jianfei Yang, a principal investigator and postdoc at Nanyang Technological University (NTU), and his student Xinyan Chen have developed a comprehensive benchmark and library for WiFi sensing. Their Patterns paper highlights the advantages of deep learning for WiFi sensing and provides constructive...

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Detalles Bibliográficos
Autores principales: Yang, Jianfei, Chen, Xinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
People of Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028417/
https://www.ncbi.nlm.nih.gov/pubmed/36960447
http://dx.doi.org/10.1016/j.patter.2023.100707
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author Yang, Jianfei
Chen, Xinyan
author_facet Yang, Jianfei
Chen, Xinyan
author_sort Yang, Jianfei
collection PubMed
description Jianfei Yang, a principal investigator and postdoc at Nanyang Technological University (NTU), and his student Xinyan Chen have developed a comprehensive benchmark and library for WiFi sensing. Their Patterns paper highlights the advantages of deep learning for WiFi sensing and provides constructive suggestions on model selection, learning scheme, and training strategy for developers and data scientists in this field. They talk about their view of data science, their experience with interdisciplinary WiFi sensing research, and the future of WiFi sensing applications.
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spelling pubmed-100284172023-03-22 Toward ubiquitous sensing: Researchers turn WiFi signals into human activity patterns Yang, Jianfei Chen, Xinyan Patterns (N Y) People of Data Jianfei Yang, a principal investigator and postdoc at Nanyang Technological University (NTU), and his student Xinyan Chen have developed a comprehensive benchmark and library for WiFi sensing. Their Patterns paper highlights the advantages of deep learning for WiFi sensing and provides constructive suggestions on model selection, learning scheme, and training strategy for developers and data scientists in this field. They talk about their view of data science, their experience with interdisciplinary WiFi sensing research, and the future of WiFi sensing applications. Elsevier 2023-03-10 /pmc/articles/PMC10028417/ /pubmed/36960447 http://dx.doi.org/10.1016/j.patter.2023.100707 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle People of Data
Yang, Jianfei
Chen, Xinyan
Toward ubiquitous sensing: Researchers turn WiFi signals into human activity patterns
title Toward ubiquitous sensing: Researchers turn WiFi signals into human activity patterns
title_full Toward ubiquitous sensing: Researchers turn WiFi signals into human activity patterns
title_fullStr Toward ubiquitous sensing: Researchers turn WiFi signals into human activity patterns
title_full_unstemmed Toward ubiquitous sensing: Researchers turn WiFi signals into human activity patterns
title_short Toward ubiquitous sensing: Researchers turn WiFi signals into human activity patterns
title_sort toward ubiquitous sensing: researchers turn wifi signals into human activity patterns
topic People of Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028417/
https://www.ncbi.nlm.nih.gov/pubmed/36960447
http://dx.doi.org/10.1016/j.patter.2023.100707
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