Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support

Stefano Pinardi, Fabio Sartori, Riccardo Melen

2016

Abstract

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

@conference{kita16,
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)},
year={2016},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006091203070313},
isbn={},
}


in EndNote Style

TY - CONF
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