Recognition of human activity based on sparse data collected from smartphone sensors

This paper proposes a method of human activity monitoring based on the regular use of sparse acceleration data and GPS positioning collected during smartphone daily utilization. The application addresses, in particular, the elderly population with regular activity patterns associated with daily rout...

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Detalhes bibliográficos
Autor principal: Figueiredo, João (author)
Outros Autores: Gordalina, Gonçalo (author), Frazão Correia, Pedro (author), Pires, Gabriel (author), Lopes de Oliveira, Luís Miguel (author), Martinho, Ricardo (author), Rijo, Rui (author), Assunção, Pedro (author), Seco, Alexandra (author), Fonseca-Pinto, Rui (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2021
Assuntos:
sparse data
smartphone sensors
human activity monitoring
sparse acceleration data
GPS positioning
elderly population
learned data patterns
localization
Texto completo:http://hdl.handle.net/10400.26/37107
País:Portugal
Oai:oai:comum.rcaap.pt:10400.26/37107

Texto Completo

http://hdl.handle.net/10400.26/37107

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