Document - Dynamic decision support system for personalised coaching to support active ageing

2019

Conference article Open Access

Dynamic decision support system for personalised coaching to support active ageing

Orte S., Subías P., Fernández L., Mastropietro A., Porcelli S., Rizzo G., Boqué N., Guye S., Röcke C., Andreoni G., Crivello A., Palumbo F.

Decision Support System Active and Healthy Ageing User Profiling

Physiological status and physical activity, social interaction, cognitive and emotional status, and nutrition in older people are the key target areas addressed by the NESTORE project. It is aimed at developing a multi-domain solution for users, able to prolong their functional, social, and cognitive capacity by empowering, stimulating, and unobtrusively monitoring, in other words, "coaching" the user's daily activities according to a well-defined "Active and Healthy Ageing" life-style protocol. Besides the key features of NESTORE in terms of technological solutions, this work focus on the preliminary research carried out in the context of algorithms for modelling and profiling target individuals with the aim of developing an effective dynamic Decision Support System.

Source: AI*AAL.it 2018 - Artificial Intelligence for Ambient Assisted Living, pp. 16–36, Trento, Italy, 20-23 November 2018

Publisher: CEUR-WS.org, Aachen, DEU

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:400755,
	title = {Dynamic decision support system for personalised coaching to support active ageing},
	author = {Orte S. and Subías P. and Fernández L. and Mastropietro A. and Porcelli S. and Rizzo G. and Boqué N. and Guye S. and Röcke C. and Andreoni G. and Crivello A. and Palumbo F.},
	publisher = {CEUR-WS.org, Aachen, DEU},
	booktitle = {AI*AAL.it 2018 - Artificial Intelligence for Ambient Assisted Living, pp. 16–36, Trento, Italy, 20-23 November 2018},
	year = {2019}
}