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Authors: Benedikt Gollan 1 ; Michael Haslgruebler 2 ; Alois Ferscha 2 and Josef Heftberger 3

Affiliations: 1 Pervasive Computing Applications, Research Studios Austria FG mbH, Thurngasse 8/20, 1090 Vienna and Austria ; 2 Institute of Pervasive Computing, Johannes Kepler University, Altenberger Strasse 69, Linz and Austria ; 3 Fischer Sports GmbH, Fischerstrasse 8, Ried am Innkreis and Austria

Keyword(s): Sensor Evaluation, Industrial Application, Multi-Sensor Fusion, Stational Sensors, Wearable Sensors, Challenges.

Related Ontology Subjects/Areas/Topics: Applications ; Assistive Technologies ; Biomedical Devices for Computer Interaction ; Biomedical Engineering ; Biomedical Signal Processing ; Devices ; Health Engineering and Technology Applications ; Health Information Systems ; Human-Computer Interaction ; Methodologies and Methods ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Observation, Modeling and Prediction of User Behavior ; Pattern Recognition ; Physiological Computing Systems ; Physiology-Driven Computer Interaction ; Software Engineering ; Wearable Sensors and Systems

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - PhyCS, ISBN 978-989-758-329-2; ISSN 2184-321X, pages 64-74. DOI: 10.5220/0007227600640074

@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 - PhyCS,},
year={2018},
pages={64-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007227600640074},
isbn={978-989-758-329-2},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS,
TI - Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance Systems
SN - 978-989-758-329-2
IS - 2184-321X
AU - Gollan, B.
AU - Haslgruebler, M.
AU - Ferscha, A.
AU - Heftberger, J.
PY - 2018
SP - 64
EP - 74
DO - 10.5220/0007227600640074

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