An agent program in an IoT system to recommend activities to minimize childhood obesity problems

Pediatric overweight and obesity is a recognized global epidemic. Its association with both present and an increased risk of several future chronic diseases has been well documented. OCARIoT is EU-Brazil joint project that aims to develop a sophisticated, non-invasive, unobtrusive, personalized, IoT system that can detect and normalize the behaviors that put an individual at risk of developing obesity or eating disorders. In this paper, we propose 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.