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Passive Wi-Fi monitoring in the wild: a long-term study across multiple location typologies
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Orientador(es)
Resumo(s)
In this paper, we present a systematic analysis of large-scale human mobility patterns obtained from a passive Wi-Fi tracking
system, deployed across different location typologies. We have deployed a system to cover urban areas served by public
transportation systems as well as very isolated and rural areas. Over 4 years, we collected 572 million data points from a
total of 82 routers covering an area of 2.8 km2. In this paper we provide a systematic analysis of the data and discuss how
our low-cost approach can be used to help communities and policymakers to make decisions to improve people’s mobility at
high temporal and spatial resolution by inferring presence characteristics against several sources of ground truth. Also, we
present an automatic classification technique that can identify location types based on collected data.
Descrição
Palavras-chave
Passive sensing Wi-Fi tracking Mobility analysis . Faculdade de Ciências Extas e da Engenharia
Contexto Educativo
Citação
Ribeiro, M., Nunes, N., Nisi, V., & Schöning, J. (2022). Passive wi-fi monitoring in the wild: a long-term study across multiple location typologies. Personal and ubiquitous computing, 26(3), 505-519.
Editora
Springer