An Artificial Agent to Recommend Activities to Minimize Childhood Obesity Problems in an IoT System

• Jerffeson Teixeira de Souza UEC
• Gustavo Augusto Lima de Campos UEC
• Leonardo Ferreira da Costa UEC
• Rodrigo Teixeira Melo UEC
• Eriko Werbet IA
• Cleilton Rocha IA
• Lucas Vieira Alves UEC

Resumo

Pediatric obesity is a recognized global epidemic. Its association with an increased risk of several future chronic diseases has been well documented. Among behavioral factors, both bad eating habits and sedentary lifestyle had been shown to be major determinants of obesity. This paper presents the first phase of the design process of an agent-based approach to recommend eating and physical activities to children, based on data collected from wearable devices and questionnaires filled by parents/teachers.

Referências

Boreham, C. and Riddoch, C. (2002). The physical activity, fitness and health of children. Journal of sports sciences, 19:915–29.

Kuźbicka, K. and Rachoń, D. (2013). Bad eating habits as the main cause of obesity among children. Pediatric endocrinology, diabetes, and metabolism, 19:106–10.

NCD Risk Factor Collaboration (2017). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. The Lancet, 390(10113):2627–2642.

World Health Organization (2017). Facts and figures on childhood obesity.

World Health Organization (2018). Joint child malnutrition estimates - levels and trends (2018 edition).