Towards Consent-Based Lifelogging in Sport Analytic

  • Håvard Johansen
  • Cathal Gurrin
  • Dag Johansen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8936)


Lifelogging is becoming widely deployed outside the scope of solipsistic self quantification. In elite sport, the ability to utilize these digital footprints of athletes for sport analytic has already become a game changer. This raises privacy concerns regarding both the individual lifelogger and the bystanders inadvertently captured by increasingly ubiquitous sensing devices. This paper describes a lifelogging model for consented use of personal data for sport analytic. The proposed model is a stepping stone towards understanding how privacy-preserving lifelogging frameworks and run-time systems can be constructed.


Personal Data Sport Club Elite Sport Individual Athlete Attribution Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Håvard Johansen
    • 1
  • Cathal Gurrin
    • 2
  • Dag Johansen
    • 1
  1. 1.UIT The Arctic University of NorwayNorway
  2. 2.Dublin City UniversityIreland

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