Title | ||
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Big Data Processing Using Wearable Devices for Wellbeing and Healthy Activities Promotion |
Abstract | ||
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The aging population and economic crisis specially in developed countries have as a consequence the reduction in funds dedicated to healthcare, is then desirable to optimize the costs of public and private healthcare systems reducing the affluence of chronic and dependent people to care centers; promoting healthy lifestyle and activities can allow people to avoid chronic diseases as for example hypertension. In this paper we describe a system for promoting an active and healthy lifestyle for people and to recommend with guidelines and valuable information about their habits. The proposed system is being developed around the Big Data parading using bio-signals sensors and machine learning algorithms for recommendations. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1007/978-3-319-26410-3_19 | AMBIENT ASSISTED LIVING: ICT-BASED SOLUTIONS IN REAL LIFE SITUATIONS |
Keywords | Field | DocType |
Internet of things,Cloud computing,Elderly,Sensors, big data | Health care,Big data processing,Internet privacy,Private healthcare,Simulation,Computer science,Population ageing,Developed country,Wearable technology,Big data,Multimedia,Cloud computing | Conference |
Volume | ISSN | Citations |
9455 | 0302-9743 | 3 |
PageRank | References | Authors |
0.48 | 7 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Diego Gachet Páez | 1 | 22 | 5.47 |
Manuel De Buenaga Rodríguez | 2 | 67 | 16.59 |
Enrique Puertas Sanz | 3 | 175 | 16.60 |
María Teresa Villalba | 4 | 4 | 1.24 |
Rafael Muñoz Gil | 5 | 5 | 1.96 |