Abstract
Original language | English |
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Title of host publication | Advances in Intelligent Systems and Computing |
Subtitle of host publication | Managing the Enterprise of the Future |
Editors | C Schlick, S Trzcieliński |
Publisher | Springer |
Pages | 217-228 |
ISBN (Electronic) | 978-3-319-41697-7 |
ISBN (Print) | 978-3-319-41696-0 |
DOIs | |
Publication status | Published - 10 Jul 2016 |
Publication series
Name | Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future |
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Volume | 490 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
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Bibliographical note
© 2016 Springer Publishing. This is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-319-41697-7_20Cite this
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Gesture Detection Towards Real-Time Ergonomic Analysis for Intelligent Automation Assistance. / Mgbemena, Chika Edith; Oyekan, John; Tiwari, Ashutosh; Xu, Yuchun; Fletcher, Sarah; Hutabarat, Windo; Prabhu, Vinayak.
Advances in Intelligent Systems and Computing: Managing the Enterprise of the Future. ed. / C Schlick; S Trzcieliński . Springer, 2016. p. 217-228 Chapter 20 (Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future; Vol. 490).Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution
TY - CHAP
T1 - Gesture Detection Towards Real-Time Ergonomic Analysis for Intelligent Automation Assistance
AU - Mgbemena, Chika Edith
AU - Oyekan, John
AU - Tiwari, Ashutosh
AU - Xu, Yuchun
AU - Fletcher, Sarah
AU - Hutabarat, Windo
AU - Prabhu, Vinayak
N1 - © 2016 Springer Publishing. This is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-319-41697-7_20
PY - 2016/7/10
Y1 - 2016/7/10
N2 - Manual handling involves transporting of load by hand through lifting or lowering and operators on the manufacturing shop floor are daily faced with constant lifting and lowering operations which leads to Work-Related Musculoskeletal Disorders. The trend in data collection on the Shop floor for ergonomic evaluation during manual handling activities has revealed a gap in gesture detection as gesture triggered data collection could facilitate more accurate ergonomic data capture and analysis. This paper presents an application developed to detect gestures towards triggering real-time human motion data capture on the shop floor for ergonomic evaluations and risk assessment using the Microsoft Kinect. The machine learning technology known as the discrete indicator—precisely the AdaBoost Trigger indicator was employed to train the gestures. Our results show that the Kinect can be trained to detect gestures towards real-time ergonomic analysis and possibly offering intelligent automation assistance during human posture detrimental tasks.
AB - Manual handling involves transporting of load by hand through lifting or lowering and operators on the manufacturing shop floor are daily faced with constant lifting and lowering operations which leads to Work-Related Musculoskeletal Disorders. The trend in data collection on the Shop floor for ergonomic evaluation during manual handling activities has revealed a gap in gesture detection as gesture triggered data collection could facilitate more accurate ergonomic data capture and analysis. This paper presents an application developed to detect gestures towards triggering real-time human motion data capture on the shop floor for ergonomic evaluations and risk assessment using the Microsoft Kinect. The machine learning technology known as the discrete indicator—precisely the AdaBoost Trigger indicator was employed to train the gestures. Our results show that the Kinect can be trained to detect gestures towards real-time ergonomic analysis and possibly offering intelligent automation assistance during human posture detrimental tasks.
U2 - 10.1007/978-3-319-41697-7_20
DO - 10.1007/978-3-319-41697-7_20
M3 - Other chapter contribution
SN - 978-3-319-41696-0
T3 - Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future
SP - 217
EP - 228
BT - Advances in Intelligent Systems and Computing
A2 - Schlick, C
A2 - Trzcieliński , S
PB - Springer
ER -