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

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

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

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

Institute of Pervasive Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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).

Original language	English
Title of host publication	PhyCS 2018 Proceedings of the 5th Conference on Physiological Computing Systems
Number of pages	11
Publication status	Published - Sept 2018

Fields of science

102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102021 Pervasive computing
102022 Software development
102025 Distributed systems

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Cite this

@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,

language = "English",

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

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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

M3 - Conference proceedings

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

ER -

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

Abstract

Fields of science

JKU Focus areas

Other files and links

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

Cite this

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

Abstract

Fields of science

JKU Focus areas

Other files and links

Projects

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

Cite this