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

Benedikt Gollan; Michael Haslgrübler-Huemer; Alois Ferscha; Josef Heftberger

doi:10.5220/0007227600640074

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

Benedikt Gollan
, Michael Haslgrübler-Huemer
, Alois Ferscha
, Josef Heftberger

Institut für Pervasive Computing

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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.This work was supported by the projects Attentive Machines (FFG, Contract No. 849976) and Attend2IT (FFG, Contract No. 856393).

Originalsprache	Englisch
Titel	PhyCS 2018 Proceedings of the 5th Conference on Physiological Computing Systems
Herausgeber*innen	Juan-Manuel Belda-Lois, Chen Wang, Manuel Jesus Dominguez Morales, Alan Pope, Hugo Placido da Silva
Seiten	64-74
Seitenumfang	11
ISBN (elektronisch)	9789897583292
DOIs	https://doi.org/10.5220/0007227600640074
Publikationsstatus	Veröffentlicht - Sep. 2018

Wissenschaftszweige

102 Informatik
102009 Computersimulation
102013 Human-Computer Interaction
102019 Machine Learning
102021 Pervasive Computing
102022 Softwareentwicklung
102025 Verteilte Systeme

JKU-Schwerpunkte

Computation in Informatics and Mathematics
TNF Allgemein

Zugriff auf Dokument

10.5220/0007227600640074

Andere Dateien und Links

Attentive Machines: Man and Machines in ICT based Production Systems of the Future
Haslgrübler-Huemer, M. (Forscher*in), Hochreiter, D. (Forscher*in), Karner, D. (Forscher*in) & Ferscha, A. (Projektleiter*in)
01.08.2015 → 31.07.2018
Projekt: Geförderte Forschung › FFG - Österreichische Forschungsförderungsgesellschaft

Best Paper Award
Gollan, B. (Empfänger*in), Haslgrübler-Huemer, M. (Empfänger*in), Ferscha, A. (Empfänger*in) & Heftberger, J. (Empfänger*in), Sep. 2018
Auszeichnung: Preis, Auszeichnung oder Ehrung

Dieses zitieren

Gollan, B., Haslgrübler-Huemer, M., Ferscha, A., & Heftberger, J. (2018). Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance Systems. in J.-M. Belda-Lois, C. Wang, M. J. D. Morales, A. Pope, & H. P. da Silva (Hrsg.), PhyCS 2018 Proceedings of the 5th Conference on Physiological Computing Systems (S. 64-74) https://doi.org/10.5220/0007227600640074

@inproceedings{66c471d5eba240ab9a03df3a8f5d6ff9,

title = "Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance 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.This work was supported by the projects Attentive Machines (FFG, Contract No. 849976) and Attend2IT (FFG, Contract No. 856393).",

author = "Benedikt Gollan and Michael Haslgr{\"u}bler-Huemer and Alois Ferscha and Josef Heftberger",

year = "2018",

month = sep,

doi = "10.5220/0007227600640074",

language = "English",

pages = "64--74",

editor = "Juan-Manuel Belda-Lois and Chen Wang and Morales, \{Manuel Jesus Dominguez\} and Alan Pope and \{da Silva\}, \{Hugo Placido\}",

booktitle = "PhyCS 2018 Proceedings of the 5th Conference on Physiological Computing Systems",

}

Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance Systems. / Gollan, Benedikt; Haslgrübler-Huemer, Michael; Ferscha, Alois et al.
PhyCS 2018 Proceedings of the 5th Conference on Physiological Computing Systems. Hrsg. / Juan-Manuel Belda-Lois; Chen Wang; Manuel Jesus Dominguez Morales; Alan Pope; Hugo Placido da Silva. 2018. S. 64-74.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance Systems

AU - Gollan, Benedikt

AU - Haslgrübler-Huemer, Michael

AU - Ferscha, Alois

AU - Heftberger, Josef

PY - 2018/9

Y1 - 2018/9

N2 - 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.This work was supported by the projects Attentive Machines (FFG, Contract No. 849976) and Attend2IT (FFG, Contract No. 856393).

AB - 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.This work was supported by the projects Attentive Machines (FFG, Contract No. 849976) and Attend2IT (FFG, Contract No. 856393).

UR - http://www.insticc.org/Primoris/Resources/PaperPdf.ashx?idPaper=72276

UR - https://www.scopus.com/pages/publications/85059084922

U2 - 10.5220/0007227600640074

DO - 10.5220/0007227600640074

M3 - Conference proceedings

SP - 64

EP - 74

BT - PhyCS 2018 Proceedings of the 5th Conference on Physiological Computing Systems

A2 - Belda-Lois, Juan-Manuel

A2 - Wang, Chen

A2 - Morales, Manuel Jesus Dominguez

A2 - Pope, Alan

A2 - da Silva, Hugo Placido

ER -

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

Abstract

Wissenschaftszweige

JKU-Schwerpunkte

Zugriff auf Dokument

Andere Dateien und Links

Projekte

Attentive Machines: Man and Machines in ICT based Production Systems of the Future

Auszeichnungen

Best Paper Award

Dieses zitieren