Abstract
Unhealthy behavior, constitutes of unhealthy diet, smoking, physical inactivity and alcohol intake, increases the risk of chronic diseases and premature mortality. These unhealthy behaviors can be avoided by little intention and guidance. Diet is an influential factor of healthcare. Healthy and balanced diet selection is related to the better life expectancy and decreases the chances of chronic diseases. The Ubiquitous computing revolutionized the wellness domain towards user centric preference based health management. In this study we proposed a method for monitoring and indication of users’ unhealthy nutrition consumption. We evaluated 3 different timings of indication to user for induction of healthy dietary pattern. The “location and time based indication” depicts very promising result of 78% in the adoption of healthy diet pattern and has positive impact on the intake of fat nutrient in diet.
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Acknowledgments
This work was supported by the Industrial Core Technology Development Program (10049079), Develop of mining core technology exploiting personal big data) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea) and this research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2011-0030079).
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Bilal, H.S.M., Khan, W.A., Lee, S. (2017). Unhealthy Dietary Behavior Based User Life-Log Monitoring for Wellness Services. In: Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Enhanced Quality of Life and Smart Living. ICOST 2017. Lecture Notes in Computer Science(), vol 10461. Springer, Cham. https://doi.org/10.1007/978-3-319-66188-9_7
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DOI: https://doi.org/10.1007/978-3-319-66188-9_7
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