AALaaS/ELEaaS platforms

Rossitza Ivanova Goleva, Mara Pudane, Sintija Petrovica, Egons Lavendelis, Karl Kreiner, Mario Drobics, Ivan Ganchev, Nuno M. Garcia, Rumen Stainov, Ciprian Dobre, Constandinos X. Mavromoustakis, Ivan Chorbev, Vladimir Trajkovik, Eftim Zdravevski, George Mastorakis

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This chapter presents a generic `ambient assisted living as a service’/`enhanced living environment as a service’ platform. Multiple platform elements are described by taking into account layered hierarchical models, horizontally and vertically planning models as well as models with planes. The main goal of the work is to identify the important platform parts, classify the existing models, and create a framework that will allow further protocols and services classification. The chapter starts with a presentation of the end-user requirements, continues with the analysis and design phases, and ends with a possible implementation of the platform as a cloud-based one, aiming to aggregate data from multiple different access and edge technological solutions and islands, and allowing data analysis and mining at the abstract level. This is considered as a driving force for further development of possible business solutions. The work is based on a real-life experience gained within living labs and conducted surveys on the topic. Chapter Contents: Abstract • 9.1 Introduction • 9.2 State of the art • 9.3 Generic AALaaS/ELEaaS architecture • 9.4 Affective computing mapping implementation • 9.5 KIOLA platform implementation • 9.6 AAL/ELE laboratory and home implementation • 9.7 Conclusion and further research plan • Acknowledgements • References • Further reading • Biographies.

Original languageEnglish
Title of host publicationEnhanced Living Environments
PublisherInstitution of Engineering and Technology
Number of pages28
ISBN (Electronic)9781785612114
Publication statusPublished - 1 Jan 2018


  • AALaaS/ELEaaS platforms
  • Abstract level
  • Account layered hierarchical models
  • Aggregate data
  • Ambient assisted living as a service platform
  • Cloud computing
  • Cloud-based one
  • Data analysis
  • Data handling techniques
  • Edge technological solutions
  • End-user requirements
  • Enhanced living environment as a service platform
  • Internet software
  • Real-life experience
  • User interfaces


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