The Internet of Bodies Needs a Human Data Model

Niko Makitalo, Daniel Flores-Martin, Javier Berrocal, Jose Manuel Garcia-Alonso, Petri Ihantola, Aleksandr Ometov, Juan Manuel Murillo, Tommi Mikkonen

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
1 Downloads (Pure)


Today, the number of interconnected devices and the amount of personal information gathered by them increases tremendously resulting in the need for development tools to harness its potential. New devices are continually being introduced in the daily life of people, and they are already producing an unprecedented amount of data related to people's well-being. However, taking advantage of such information to create innovative Internet of Bodies solutions heavily relies on manually gathering the needed information from several sources on services and the devices involved. In this paper, we present a novel Human Data Model - a new tool to combine personal information from several sources, perform computations over that information, and proactively schedule computer-human interactions. Developers that use the proposed model would obtain an opportunity to create the Internet of Bodies solutions using high-level abstractions of the users' personal information and taking advantage of the distributed approach of the model.

Original languageEnglish
Pages (from-to) 28 - 37
Number of pages10
JournalIEEE Internet Computing
Issue number5
Publication statusPublished - 2020
Publication typeA1 Journal article-refereed


  • Cloud computing
  • Computational modeling
  • Data models
  • Human Data Model
  • Human-Computer Interaction
  • Internet of Bodies
  • Internet of Things
  • Internet of Wearable Things
  • IoB
  • IoT
  • Medical services
  • Monitoring
  • Sensors

Publication forum classification

  • Publication forum level 3

ASJC Scopus subject areas

  • Computer Networks and Communications


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