Human Crowdsourcing Data for Indoor Location Applied to Ambient Assisted Living Scenarios

In the last decades, the rise of life expectancy has accelerated the demand for new technological solutions to provide a longer life with improved quality. One of the major areas of the Ambient Assisted Living aims to monitor the elderly location indoors. For this purpose, indoor positioning systems...

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Bibliographic Details
Main Author: Santos, Ricardo Bruno Barbeiro dos (author)
Format: masterThesis
Language:eng
Published: 2019
Subjects:
Ambient Assisted Living
Crowdsourcing
Indoor Location
Fingerprinting
Time Series Similarities
Machine Learning
Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias
Online Access:http://hdl.handle.net/10362/56377
Country:Portugal
Oai:oai:run.unl.pt:10362/56377

Internet

http://hdl.handle.net/10362/56377

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