loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Stefano Pinardi ; Fabio Sartori and Riccardo Melen

Affiliation: University of Milano-Bicocca, Italy

ISBN: 978-989-758-203-5

Keyword(s): Inertial Measurement Unit, Android, Wearable Devices, Recommendation Systems, Knowledge Artifacts.

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.172.150.239

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Pinardi, S.; Sartori, F. and Melen, R. (2016). Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KITA, (IC3K 2016) ISBN 978-989-758-203-5, pages 307-313. DOI: 10.5220/0006091203070313

@conference{kita16,
author={Stefano Pinardi. and Fabio Sartori. and Riccardo Melen.},
title={Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KITA, (IC3K 2016)},
year={2016},
pages={307-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006091203070313},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KITA, (IC3K 2016)
TI - Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support
SN - 978-989-758-203-5
AU - Pinardi, S.
AU - Sartori, F.
AU - Melen, R.
PY - 2016
SP - 307
EP - 313
DO - 10.5220/0006091203070313

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.