article

Behavioral data gathering for assessing functional status and health in older adults using mobile phones

Authors:

Luis A. Castro,

Eduardo Quintana,

Moises PerezAuthors Info & Claims

Personal and Ubiquitous Computing, Volume 19, Issue 2

Pages 379 - 391

https://doi.org/10.1007/s00779-014-0825-9

Published: 01 February 2015 Publication History

Abstract

Modern mobile phones include a variety of sensors that can be used to develop context-aware applications and gather data about the user's behavior, including the places she visits, her level of activity, and how frequently and with whom she socializes. In this work, we present InCense, a toolkit for facilitating the collection of behavioral data gathering from populations of mobile phone users. This paper describes InCense, its components, and presents the results of a sensing campaign in which InCense was used for collecting behavior data from older adults. The paper concludes by presenting how the data collected can be used for supporting functional assessment in older adults, which often relies on self-reports by patients, that is, assessment is based on the accounts provided by patients, which can have some validity problems as patients often underreport or exaggerate their habits or symptoms, possibly leading to an unreliable diagnosis.

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Cited By

Menchaca-Mendez RLuna-Nuñez BMenchaca-Mendez RYee-Rendon AQuintero RFavela J(2018)Opportunistic Mobile Sensing in the FogWireless Communications & Mobile Computing10.1155/2018/27962822018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/2796282
Favela JRoesler VValdeni de Lima JSaibel Santos CWillrich R(2017)Inferring Human Behavior using Mobile and Wearable DevicesProceedings of the 23rd Brazillian Symposium on Multimedia and the Web10.1145/3126858.3133311(11-13)Online publication date: 17-Oct-2017
https://dl.acm.org/doi/10.1145/3126858.3133311
Castro LGutiérrez LRodríguez LRuíz ÉLee STakayama LTruong K(2017)Towards context of quality in mobile sensing campaignsProceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers10.1145/3123024.3124431(470-475)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3123024.3124431
Show More Cited By

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cover image Personal and Ubiquitous Computing

Personal and Ubiquitous Computing Volume 19, Issue 2

February 2015

228 pages

ISSN:1617-4909

Issue’s Table of Contents

Copyright © Copyright © 2015 Springer-Verlag London.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 February 2015

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Cited By

Menchaca-Mendez RLuna-Nuñez BMenchaca-Mendez RYee-Rendon AQuintero RFavela J(2018)Opportunistic Mobile Sensing in the FogWireless Communications & Mobile Computing10.1155/2018/27962822018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/2796282
Favela JRoesler VValdeni de Lima JSaibel Santos CWillrich R(2017)Inferring Human Behavior using Mobile and Wearable DevicesProceedings of the 23rd Brazillian Symposium on Multimedia and the Web10.1145/3126858.3133311(11-13)Online publication date: 17-Oct-2017
https://dl.acm.org/doi/10.1145/3126858.3133311
Castro LGutiérrez LRodríguez LRuíz ÉLee STakayama LTruong K(2017)Towards context of quality in mobile sensing campaignsProceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers10.1145/3123024.3124431(470-475)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3123024.3124431
Zini FReinstadler MRicci FKostkova PGrasso F(2015)Life-logs Aggregation for Quality of Life MonitoringProceedings of the 5th International Conference on Digital Health 201510.1145/2750511.2750531(131-132)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2750511.2750531

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