A Cloud-based Physical Body Data Sensing Architecture for Playing Children

Abstract

In this paper, we present a cloud-based physical body data sensing architecture for playing children. The main rationale for designing the sensing architecture is twofold. By analyzing physical body data, we can identify the relation between body activities and health for playing children. Another reason is that we can foster the awareness of the connection between traditional cultures and modern cultures by providing various kinds of play of seven countries (Korea, Japan, China, Mongolia, Kazakhstan, Uzbekistan, and Iran) of the Silk Road based on our database. The proposed sensing architecture is based on cloud computing, so that sensing data can be securely stored and aggregated to the cloud computing system. The design of the sensing architecture enables a user to identify similarities and differences in body activities with respect to other users. In addition, with big data analysis capabilities, the proposed architecture is able to detect potential health problems. The aggregated sensor data will be stored in the stable cloud storage volume. Our cloud storage architecture is designed to support both stateful and stateless applications, which are compatible with traditional infrastructures.