Abstract
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%.
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Acknowledgments
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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Muhammad Bilal, H.S., Razzaq, M.A., Amin, M.B., Lee, S. (2018). Context-Based Lifelog Monitoring for Just-in-Time Wellness Intervention. In: Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living. ICOST 2018. Lecture Notes in Computer Science(), vol 10898. Springer, Cham. https://doi.org/10.1007/978-3-319-94523-1_29
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DOI: https://doi.org/10.1007/978-3-319-94523-1_29
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