Modeling a Petri Net-Based Self-Adaptive Childcare System

Abstract

Assisted living technologies and techniques help human beings in education, health, assistance, care, monitoring, and tracking. A self-adaptive child monitoring system is a core need of our society, as 31.99% population of Pakistan belongs to 0-14 year’s age group and in local workforce 28% are women. This paper proposes the modeling of childcare system that automatically perform three main areas regarding to childcare: child health monitoring, child activity monitoring and child assistance provision. The proposed approach is performing activity monitoring through motion and location sensors, health monitoring through different vital signs (Blood Pressure-BP, Breathing Rate-BR, Body Temperature-BT and Pulse Rate-PR) and provide assistance in using different appliances at home environment. The core objective of the proposed research is to aware parents about the health and activities of child due to the dire need of time as offense against children is rising extremely like cruel penalty at school, kidnapping, harassment, and health related issues. In this research work, data is collected using motion sensors, physiological sensors, and environment sensors. The self-adaptive ability of the system will be gotten through fuzzy rules. To model run-time situation transformation these fuzzy rules were used and for making decisions on behalf of behavioral variation intended for responding these changes, fuzzy reasoning was used. The proposed Petri Nets were validated using coverability graph.