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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Bibliographic Details
Main Author: Figueiredo, João (author)
Other Authors: 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)
Format: conferenceObject
Language:eng
Published: 2021
Subjects:
sparse data
smartphone sensors
human activity monitoring
sparse acceleration data
GPS positioning
elderly population
learned data patterns
localization
Online Access:http://hdl.handle.net/10400.26/37107
Country:Portugal
Oai:oai:comum.rcaap.pt:10400.26/37107

Internet

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

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