Integration of Complex IoT Data with Case-Specific Interactive Expert Knowledge Feedback, for Elderly Frailty Prevention
| Autor: | Christos Tatsiopoulos, Paolo Paolini, Vladimir Urosevic |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science 05 social sciences 020206 networking & telecommunications 02 engineering and technology Data science Variety (cybernetics) Open data Smart city Elderly population 0502 economics and business 0202 electrical engineering electronic engineering information engineering Internet of Things business 050212 sport leisure & tourism |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319945224 ICOST |
| DOI: | 10.1007/978-3-319-94523-1_25 |
| Popis: | This paper describes an environment based on rich interactive diagrams, allowing the geriatricians and caregivers to access, analyze and precisely annotate or label specific granular cases of interest in a variety of heterogeneous data collected, to identify “behaviour changes” through Smart City IoT and Open Data infrastructures. The overall goal is to detect and contextualize, as early and precisely as possible, negative changes that may lead to onset of MCI/frailty in the elderly population. The environment is being developed and piloted within the City4Age project, partially funded by the EU. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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