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A Mobile Health Monitoring Application for Obesity Management and Control Using the Internet-of-Things 1Mohamed

Alloghani, MAMA, Hussain, A, Al-Jumeily, D, Fergus, P, Abuelma'atti, O and Hamdan, H (2016) A Mobile Health Monitoring Application for Obesity Management and Control Using the Internet-of-Things 1Mohamed. In: Digital Information Processing and Communications (ICDIPC), . (Sixth International Conference on Digital Information Processing and Communications (ICDIPC), 21 April 2016 - 23 April 2016, Lebanon).

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Abstract

Obesity is one of the most serious and dangerous nutritional diseases around the world. Usually, people develop patterns of unhealthy eating that lead to increased body weight and accumulation of fat in the body. This mass happens due to an imbalance between the energy intake from food and energy consumed in the body. One of the primary treatments for this serious health risk include diets, physical activity, weight-loss training and adoption of health programs that promote healthy eating. As such, reliable mechanism to prevent and control the obesity levels is vital. It led many experts and researchers who are interested in the health sector to explore more solutions that help to combat the obesity phenomenon. This paper presents a mobile health application intended to increase the awareness levels of parents and children about the obesity risks and help them to sustain balanced and healthy eating lifestyle. The proposed mobile application is an educational tool for the evaluation of interventions to prevent obesity risk levels. The application is based on the Internet-of-Things approach, which allows tracking food intake, remote capturing and constant monitoring of children data with interactive feedback displayed on the mobile application.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Computer Science & Mathematics
Publisher: IEEE
Date Deposited: 16 Dec 2016 12:35
Last Modified: 13 Apr 2022 15:14
URI: https://researchonline.ljmu.ac.uk/id/eprint/3384
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