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An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development Big Data Analytics and Fuzzy Technology: Extracting Information from Social DataRead first chapter

Natalia Díaz-Rodríguez, Stefan Grönroos, Frank Wickström, Johan Lilius, Henk Eertink, Andreas Braun, Paul Dillen, James Crowley, Jan Alexandersson, An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development Big Data Analytics and Fuzzy Technology: Extracting Information from Social DataRead first chapter. In: Lotfi A. Zadeh, Ronald R. Yager, Shahnaz N. Shahbazova, Marek Z. Reformat, Vladik Kreinovich (Eds.), Recent Developments and the New Direction in Soft-Computing Foundations and Applications, Studies in Fuzziness and Soft Computing, 1–10, Springer International Publishing, 2018.

http://dx.doi.org/10.1007/978-3-319-75408-6_43

Abstract:

Over the last decade a number of technologies have been developed that support individuals in keeping themselves active. This can be done via e-coaching mechanisms and by installing more advanced technologies in their homes. The objective of the Active Healthy Ageing (AHA) Platform is to integrate existing tools, hardware, and software that assist individuals in improving and/or maintaining a healthy lifestyle. This architecture is realized by integrating several hardware/software components that generate various types of data. Some examples include heart-rate data, coaching information, in-home activity patterns, mobility patterns, and so on. Various subsystems in the AHA platform can share their data in a semantic and interoperable way, through the use of a AHA data-store and a wearable devices ontology. This paper presents such an ontology for wearable data interoperability in Ambient Assisted Living environments. The ontology includes concepts such as height, weight, locations, activities, activity levels, activity energy expenditure, heart rate, or stress levels, among others. The purpose is serving application development in Ambient Intelligence scenarios ranging from activity monitoring and smart homes to active healthy ageing or lifestyle profiling.

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BibTeX entry:

@INBOOK{cDxGrWiLiEeBrDiCrAl18a,
  title = {An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development Big Data Analytics and Fuzzy Technology: Extracting Information from Social DataRead first chapter},
  booktitle = {Recent Developments and the New Direction in Soft-Computing Foundations and Applications},
  author = {Díaz-Rodríguez, Natalia and Grönroos, Stefan and Wickström, Frank and Lilius, Johan and Eertink, Henk and Braun, Andreas and Dillen, Paul and Crowley, James and Alexandersson, Jan},
  series = {Studies in Fuzziness and Soft Computing},
  editor = {Zadeh, Lotfi A. and Yager, Ronald R. and Shahbazova, Shahnaz N. and Reformat, Marek Z. and Kreinovich, Vladik},
  publisher = {Springer International Publishing},
  pages = {1–10},
  year = {2018},
  keywords = {ontology; active healthy ageing; wearables; ambient assisted living; interoperability; context awareness},
  ISSN = {978-3-319-75408-6},
}

Belongs to TUCS Research Unit(s): Embedded Systems Laboratory (ESLAB)

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