Providing Wellness Services Using Real Time Analytics

  • Daniel AraújoEmail author
  • André Pimenta
  • Davide Carneiro
  • Paulo Novais
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 476)


Data has increased in a large scale in various fields leading to the coin of the term Big Data. Big data is mainly used to describe enormous datasets that typically includes masses of unstructured data that may need real-time analysis. As human behaviour and personality can be captured through human-computer interaction a massive opportunity opens for providing wellness services. Through the use of interaction data, behavioral biometrics can be obtained. The usage of biometrics has increased due to several factors such as the rise of power and availability of computational power. One of the challenges in this kind of approaches has to do with handling the acquired data. The growing volumes, variety and velocity brings challenges in the tasks of pre-processing, storage and providing analytics. In this sense, the problem can be framed as a Big Data problem. In this work it is intended to provide an architecture that accommodates the data pipeline of data generated by human-computer interaction, providing real time data analytics on behavioral biometrics.


Real-time analytics Big data NoSQL databases Behavioral biometrics 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Daniel Araújo
    • 1
    Email author
  • André Pimenta
    • 1
  • Davide Carneiro
    • 1
    • 2
  • Paulo Novais
    • 1
  1. 1.Algoritmi Center/Department of InformaticsMinho UniversityBragaPortugal
  2. 2.CIICESI, ESTGFPolytechnic Institute of PortoFelgueirasPortugal

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