Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1144
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dc.contributor.authorRajapakse, R.M.M.P.K.-
dc.contributor.authorMudalige, J.M.A.I.-
dc.contributor.authorPerera, L.A.D.Y.S.-
dc.contributor.authorWarakagoda, R.N.A.M.S.C.B.-
dc.contributor.authorSiriwardana, S.-
dc.date.accessioned2022-02-14T08:05:43Z-
dc.date.available2022-02-14T08:05:43Z-
dc.date.issued2021-12-09-
dc.identifier.issn978-1-6654-0862-2/21-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1144-
dc.description.abstractObesity 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-en_US
dc.language.isoenen_US
dc.publisher2021 3rd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.subjectActivity recognitionen_US
dc.subjectactivity suggestionen_US
dc.subjectchildhood obesityen_US
dc.subjectdeep learningen_US
dc.subjectdiet plansen_US
dc.subjectdisease predictionen_US
dc.subjectmachine learningen_US
dc.titleMobile Based Solution to Weight Loss Planning for Children (with Obesity) in Sri Lankaen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC54203.2021.9671115en_US
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Department of Computer Science and Software Engineering-Scopes

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