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Crowd-based ambient assisted living to monitor the elderly's health outdoors

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URI: https://hdl.handle.net/10016/33477
ISSN: 0740-7459
DOI: https://doi.org/10.1109/MS.2017.4121217
UXXI: AR/0000020852
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crowd_IS_2017_ps.pdf (479.56 KB)
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2017-11-13
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IEEE
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Abstract
The Safeneighborhood Approach Combines Data From Multiple Sources With Collective Intelligence. It Merges Mobile, Ambient, And Ai Technologies With Old-Fashioned Neighborhood Ties To Create Safe Outdoor Spaces For The Elderly. We&#39 Re Exploring Aal Techniques In Outdoor Environments To Increase The Elderly&#39 S Independence Without Them Having To Interact With Technology. Current Research In Outdoor Monitoring Relies Solely On Sensor Data.4 Our Approach, Which We Call Safeneigborhood (Sn), Crowdsources People In The Neighborhood To Revise The Computer&#39 S Inferences From Contextual And Sensor Data. So, Sn Brings The Community Together To Provide A Safer Environment For The Elderly.
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senior citizens, monitoring, temperature sensors, global positioning system, mobile communication, assisted living, biomedical monitoring, smart devices
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A. C. Bicharra Garcia, A. S. Vivacqua, N. Sánchez-Pi, L. Martí and J. M. Molina, "Crowd-Based Ambient Assisted Living to Monitor the Elderly’s Health Outdoors," in IEEE Software, vol. 34, no. 6, pp. 53-57, November/December 2017, doi: 10.1109/MS.2017.4121217.
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