Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)

An Effective Scheme of a Depth Sensor Set Up for a Real-Time Ergonomics Assessment by the Gesture Confidence Level

Authors
Jauharah Hasna Dzakiyyah Adani, Teddy Sjafrizal, Rino Andias Anugraha, Muhammad Iqbal, Ilma Mufidah
Corresponding Author
Jauharah Hasna Dzakiyyah Adani
Available Online November 2019.
DOI
10.2991/icoemis-19.2019.16How to use a DOI?
Keywords
Ergonomic Assessment, Depth Sensor, Sensor Placement, Visual Gesture Builder, Confidence Level
Abstract

Ergonomics assessment of human body movement demands a comprehensive and systematic data collection. The easy-to-use self-report (e.g. questionnaires, checklist, interview) and the observational technique (e.g. pose rating) are the commonly practiced techniques. However, these methods suffer from a high bias across different respondents and observers. Recently, the direct measurement technique by utilizing a depth sensor equipped with a modelling software is the alternative tool to facilitate a real-time digital human modelling. It gathers the 3-D human motion data with real-time ergonomics analysis and intervention features. This study aims to obtain the effective sensor setup by examining its parameters (object-to-sensor distance, horizontal field of view (FOV), and light intensity) to reach the acceptable gesture confidence level using a Kinect SDK V2.0. The standing position with a hand overhead was selected as the investigated gestures. The result showed that distance and horizontal FOV were statistically significant parameters. Thus, it proposes to place the sensor within 2 or 3 m away from the investigated object and to limit the horizontal FOV to 0 or 10°. Eventually, this proposal could be set as the reference in setting up a direct measurement studio for acquiring the human body movement data.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)
Series
Advances in Intelligent Systems Research
Publication Date
November 2019
ISBN
10.2991/icoemis-19.2019.16
ISSN
1951-6851
DOI
10.2991/icoemis-19.2019.16How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jauharah Hasna Dzakiyyah Adani
AU  - Teddy Sjafrizal
AU  - Rino Andias Anugraha
AU  - Muhammad Iqbal
AU  - Ilma Mufidah
PY  - 2019/11
DA  - 2019/11
TI  - An Effective Scheme of a Depth Sensor Set Up for a Real-Time Ergonomics Assessment by the Gesture Confidence Level
BT  - Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)
PB  - Atlantis Press
SP  - 111
EP  - 117
SN  - 1951-6851
UR  - https://doi.org/10.2991/icoemis-19.2019.16
DO  - 10.2991/icoemis-19.2019.16
ID  - Adani2019/11
ER  -