TY - GEN
T1 - The impact of industrial wearable system on industry 4.0
AU - Kong, Xiang T.R.
AU - Yang, Xuan
AU - Huang, George Q.
AU - Luo, Hao
N1 - Funding Information:
ACKNOWLEDGEMENTS
This work was supported in part by Zhejiang Provincial, Hangzhou Municipal, Lin’an City governments, ITF Innovation and Technology Support Programme of Hong Kong Government (ITP/079/16LP), HKSAR RGC GRF (No. 17212016; No. 17203117) and National Natural Science Foundation of China (No. 71671116; No. 71701079).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/3
Y1 - 2018/3
N2 - Although industrial automation and robots develop rapidly in the era of 'Industry 4.0', the increasing integration of manufacturing processes and the strengthening of the autonomous capabilities of manufacturing systems make investigating the role of humans a primary research objective. This study is among the first to examine the impact of industrial wearable system in industry 4.0. Industrial Wearable System (IWS) is defined as human empowering technology that fit the operators' cognitive and physical needs, while improving human physical-, sensing- and cognitive-capabilities using new generation of industrial infromatics. Three research objectives are as examined, including (1) to illustrate the specific manufacturing and logistics application scenarios enabled by IWS; (2) to construct human-centric IWS technical framework for industry 4.0; and (3) to verify the presented framework and technology via a real-life case study.
AB - Although industrial automation and robots develop rapidly in the era of 'Industry 4.0', the increasing integration of manufacturing processes and the strengthening of the autonomous capabilities of manufacturing systems make investigating the role of humans a primary research objective. This study is among the first to examine the impact of industrial wearable system in industry 4.0. Industrial Wearable System (IWS) is defined as human empowering technology that fit the operators' cognitive and physical needs, while improving human physical-, sensing- and cognitive-capabilities using new generation of industrial infromatics. Three research objectives are as examined, including (1) to illustrate the specific manufacturing and logistics application scenarios enabled by IWS; (2) to construct human-centric IWS technical framework for industry 4.0; and (3) to verify the presented framework and technology via a real-life case study.
KW - case study
KW - industrial wearable system
KW - industry 4.0
UR - https://www.scopus.com/pages/publications/85048225267
U2 - 10.1109/ICNSC.2018.8361266
DO - 10.1109/ICNSC.2018.8361266
M3 - Conference article published in proceeding or book
AN - SCOPUS:85048225267
T3 - ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control
BT - ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018
Y2 - 27 March 2018 through 29 March 2018
ER -