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https://doi.org/10.24138/jcomss.v13i2.374

An IoT-aware AAL System to Capture Behavioral Changes of Elderly People

Luca Mainetti ; Innovation Engineering Department, University of Salento, Via per Monteroni, 73100, Lecce, Italy
Luigi Patrono   ORCID icon orcid.org/0000-0002-8591-1190 ; Innovation Engineering Department, University of Salento, Via per Monteroni, 73100, Lecce, Italy
Andrea Secco ; Innovation Engineering Department, University of Salento, Via per Monteroni, 73100, Lecce, Italy
Ilaria Sergi ; Innovation Engineering Department, University of Salento, Via per Monteroni, 73100, Lecce, Italy

Puni tekst: engleski, pdf (2 MB) str. 68-76 preuzimanja: 465* citiraj
APA 6th Edition
Mainetti, L., Patrono, L., Secco, A. i Sergi, I. (2017). An IoT-aware AAL System to Capture Behavioral Changes of Elderly People. Journal of Communications Software and Systems, 13 (2), 68-76. https://doi.org/10.24138/jcomss.v13i2.374
MLA 8th Edition
Mainetti, Luca, et al. "An IoT-aware AAL System to Capture Behavioral Changes of Elderly People." Journal of Communications Software and Systems, vol. 13, br. 2, 2017, str. 68-76. https://doi.org/10.24138/jcomss.v13i2.374. Citirano 24.08.2019.
Chicago 17th Edition
Mainetti, Luca, Luigi Patrono, Andrea Secco i Ilaria Sergi. "An IoT-aware AAL System to Capture Behavioral Changes of Elderly People." Journal of Communications Software and Systems 13, br. 2 (2017): 68-76. https://doi.org/10.24138/jcomss.v13i2.374
Harvard
Mainetti, L., et al. (2017). 'An IoT-aware AAL System to Capture Behavioral Changes of Elderly People', Journal of Communications Software and Systems, 13(2), str. 68-76. https://doi.org/10.24138/jcomss.v13i2.374
Vancouver
Mainetti L, Patrono L, Secco A, Sergi I. An IoT-aware AAL System to Capture Behavioral Changes of Elderly People. Journal of Communications Software and Systems [Internet]. 2017 [pristupljeno 24.08.2019.];13(2):68-76. https://doi.org/10.24138/jcomss.v13i2.374
IEEE
L. Mainetti, L. Patrono, A. Secco i I. Sergi, "An IoT-aware AAL System to Capture Behavioral Changes of Elderly People", Journal of Communications Software and Systems, vol.13, br. 2, str. 68-76, 2017. [Online]. https://doi.org/10.24138/jcomss.v13i2.374

Sažetak
The ageing of population is a phenomenon that is affecting the majority of developed countries around the world and will soon affect developing economies too. In recent years, both industry and academia are focused on the development of several solutions aimed to guarantee a healthy and safe lifestyle to the elderly. In this context, the behavioral analysis of elderly people can help to prevent the occurrence of Mild Cognitive Impairment (MCI) and frailty problems. The innovative technologies enabling the Internet of Things (IoT) can be used in order to capture personal data for automatically recognizing changes in elderly people behavior in an unobtrusive, low-cost and low-power modality. This work aims to describe the ongoing activities within the City4Age project, funded by the Horizon 2020 Programme of the European Commission, mainly focused on the use of IoT technologies to develop an innovative AAL system able to capture personal data of elderly people in their home and city environments. The proposed architecture has been validated through a proof-of-concept focused mainly on localization issues, collection of ambient parameters, and user-environment interaction aspects.

Ključne riječi
Behavior Analysis; Bluetooth Low Energy; Cloud; Internet of Things; MCI; Smart Environments

Hrčak ID: 182535

URI
https://hrcak.srce.hr/182535

Posjeta: 708 *