Integrating knowledge artifacts and inertial measurement unit sensors for decision support

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.