Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance Systems

Benedikt Gollan, Michael Haslgruebler, Alois Ferscha, Josef Heftberger

2018

Abstract

This workshop paper discusses the application of various sensors in an industrial assembly scenario, in which multiple sensors are deployed to enable the detailed monitoring of worker activity, task progress and also cognitive and mental states. The described and evaluated sensors include stationary (RGBD cameras, stereo vision depth sensors) and wearable devices (IMUs, GSR, ECG, mobile eye tracker). Furthermore, this paper discusses the associated challenges mainly related to multi-sensor fusion, real-time data processing and semantic interpretation of data.

Paper Citation

in Harvard Style

Gollan B., Haslgruebler M., Ferscha A. and Heftberger J. (2018). Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance Systems.In Proceedings of the 5th International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-329-2, pages 64-74. DOI: 10.5220/0007227600640074

in Bibtex Style

@conference{phycs18,
author={Benedikt Gollan and Michael Haslgruebler and Alois Ferscha and Josef Heftberger},
title={Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance Systems},
booktitle={Proceedings of the 5th International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2018},
pages={64-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007227600640074},
isbn={978-989-758-329-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance Systems
SN - 978-989-758-329-2
AU - Gollan B.
AU - Haslgruebler M.
AU - Ferscha A.
AU - Heftberger J.
PY - 2018
SP - 64
EP - 74
DO - 10.5220/0007227600640074