Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support
Stefano Pinardi, Fábio Sartori, Riccardo Melen · 2016
Modern wearable devices provide new opportunities for the development of knowledge artifacts and decision support systems. In this paper we present a recent development of KAFKA, a knowledge engineering methodology based on knowledge artifact notion, that make it able to manage real-time data detected and analyzed by means of Inertial Measurement Units sensors, mounted on Android wearables. This improvement makes KAFKA suitable to deal with many domains where real-time data are necessary, in particular the health-care and rehabilitation ones.