Context-Based Lifelog Monitoring for Just-in-Time Wellness Intervention

  • Hafiz Syed Muhammad Bilal
  • Muhammad Asif Razzaq
  • Muhammad Bilal Amin
  • Sungyoung LeeEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10898)


These days adoption of healthy behavior can be quantified through Ubiquitous computing and smart gadgets. This digital technology has revolutionized the self-quantification to monitor activities for improving lifestyle. Context based lifelog monitoring is among the processes of tracking individual’s lifestyle in an effective manner. We have proposed a methodology for context-based monitoring of an individual’s prolonged sedentary physical activity and unhealthy dietary behavior in the domain of wellness and give just-in-time intervention to adapt healthy behavior. It detects multiple unhealthy activities of its users and verifies the context for intervention generation. The results depict that the average response of the context-based just-in-time interventions is about 75%.


Lifelog Context-based Just-in-time Unhealthy behavior Wellness services Sedentary lifestyle Unbalanced diet 



This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655) and and by the Korea Research Fellowship Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2016H1D3A1938039).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Hafiz Syed Muhammad Bilal
    • 1
    • 2
  • Muhammad Asif Razzaq
    • 1
  • Muhammad Bilal Amin
    • 1
  • Sungyoung Lee
    • 1
    Email author
  1. 1.Department of Computer EngineeringKyung Hee UniversityYongin-siKorea
  2. 2.National University of Sciences and TechnologyIslamabadPakistan

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