Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support

Stefano Pinardi, Stefano Pinardi, Stefano Pinardi, Fabio Sartori, Fabio Sartori, Fabio Sartori, Riccardo Melen, Riccardo Melen, Riccardo Melen


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.


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Paper Citation

in Harvard Style

Pinardi S., Sartori F. and Melen R. (2016). Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support . In - KITA, (IC3K 2016) ISBN , pages 0-0. DOI: 10.5220/0006091203070313

in Bibtex Style

author={Stefano Pinardi and Fabio Sartori and Riccardo Melen},
title={Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support},
booktitle={ - KITA, (IC3K 2016)},

in EndNote Style

JO - - KITA, (IC3K 2016)
TI - Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support
SN -
AU - Pinardi S.
AU - Sartori F.
AU - Melen R.
PY - 2016
SP - 0
EP - 0
DO - 10.5220/0006091203070313