Unhealthy dietary behavior based user life-log monitoring for wellness services

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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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Bilal, H. S. M., Khan, W. A., & Lee, S. (2017). Unhealthy dietary behavior based user life-log monitoring for wellness services. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10461 LNCS, pp. 73–84). Springer Verlag. https://doi.org/10.1007/978-3-319-66188-9_7

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