SenseCare: Towards an Experimental Platform for Home-Based, Visualisation of Emotional States of People with Dementia

Felix Engel, Raymond Bond, Alfie Keary, Maurice Mulvenna, Paul Walsh, Huiru Zheng, Haiying Wang, Ulrich Kowohl, Matthias Hemmje

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Analytics and visualisation of Big Data appearance is still a challenging task. In this paper, the management and visualisation of big data streams will be discussed at hand of data that comes into existence during the care of people with dementia in their own homes. Therein, basic requirements are explored towards the development of a data management, analytics and visualisation platform stemming from application scenarios in which various data streams are created, processed, analysed, visualised and stored for ad hoc or later reuse. The platform will be realised on open ICT standards, implemented within the EC co funded SenseCare project.
Original languageEnglish
Title of host publicationAdvanced Visual Interfaces: Supporting Big Data Applications
PublisherSpringer
Pages63-74
Volume10084
ISBN (Print)978-3-319-50069-0
DOIs
Publication statusE-pub ahead of print - 17 Dec 2016

Keywords

  • Information visualisation
  • Interactive visualisation
  • Emotional signals
  • SenseCare platform
  • Affective computing

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    Engel, F., Bond, R., Keary, A., Mulvenna, M., Walsh, P., Zheng, H., Wang, H., Kowohl, U., & Hemmje, M. (2016). SenseCare: Towards an Experimental Platform for Home-Based, Visualisation of Emotional States of People with Dementia. In Advanced Visual Interfaces: Supporting Big Data Applications (Vol. 10084, pp. 63-74). Springer. https://doi.org/10.1007/978-3-319-50070-6_5