Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/107997
Title: Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform
Authors: Gordalina, Gonçalo
Figueiredo, João
Martinho, Ricardo 
Rijo, Rui 
Correia, Pedro
Assunção, Pedro
Seco, Alexandra
Pires, Gabriel 
Oliveira, Luís
Fonseca-Pinto, Rui
Keywords: Mobile Health; eHealth; Artifical Intelligence; Adaptive Surveillance
Issue Date: 2018
Publisher: Elsevier
Project: FCT - MOVIDA project: 02/SAICT/2016 – 23878 
Serial title, monograph or event: Procedia Computer Science
Volume: 138
Abstract: According to estimates by the World Health Organization, the average life expectancy will continue to rise. This indicator, being a measure of success in terms of healthcare, is not synonymous with quality of life and will increase healthcare costs. Associated with this problem are also the changes in terms of the organization of society, which has not been able to solve these constraints of functional limitations, dementia, social isolation, and loneliness. This paper presents the concept of adaptive surveillance based on mobile technology and artificial intelligence, presented in the context of a global physical activity monitoring program (MOVIDA), in his domus dimension designed to the elderly people with some functional limitation or dementia. The proposed solution for an adaptive surveillance is thus to conduct direct supervision programs, to enroll persons who live alone or in nursing homes who need supervision without limiting their individual autonomy. The preliminary results show that it is possible to use the data obtained from a mobile smartphone to identify routines and use this information to identify daily patterns. Changes to these routine patterns can be used to generate alarms for caregivers.
URI: https://hdl.handle.net/10316/107997
ISSN: 18770509
DOI: 10.1016/j.procs.2018.10.007
Rights: openAccess
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais

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