Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1144
Title: Mobile Based Solution to Weight Loss Planning for Children (with Obesity) in Sri Lanka
Authors: Rajapakse, R.M.M.P.K.
Mudalige, J.M.A.I.
Perera, L.A.D.Y.S.
Warakagoda, R.N.A.M.S.C.B.
Siriwardana, S.
Keywords: Activity recognition
activity suggestion
childhood obesity
deep learning
diet plans
disease prediction
machine learning
Issue Date: 9-Dec-2021
Publisher: 2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT
Abstract: Obesity is a condition where there is excess fat in the body, and it is one of the world's most extreme and dangerous dietary diseases. Genetic factors, lack of physical activity, unhealthy eating patterns, or a combination of these factors are the most common causes of obesity. This is important because it influences every part of a child's life. More, in particular, this disorder leads to poor health and negative social standing with perceptions. Nowadays, children are paying keen interest in technology and related devices. Therefore, in this research, we are planning to give a mobile-based solution with a smart band that is used to monitor the child. In this solution, we are mainly focusing on Sri Lankan children with obesity who are aged between 5-10. In our solution, there are four main sections which are, monitoring child activities, recognizing the activities, and getting relevant data, then based on those data and previous activity completion levels, this solution will suggest activities for losing weight, provide specific diet plans for each child considering the health conditions and predict the probability of having main obesity-
URI: http://rda.sliit.lk/handle/123456789/1144
ISSN: 978-1-6654-0862-2/21
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Department of Computer Science and Software Engineering-Scopes

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