IEEE Systems, Man and Cybernetics Magazine - January 2020 - 22

Brain-wearable devices and a wearable-clothing emotional
robot were used during the artists' creation to collect the
EEG and multimodal emotion data, respectively. By combining the artists' previous artworks and utilizing the AI algorithm in the cloud for decision fusion, artists were assisted
with artwork creation. An AI algorithm model was also
detailed in this article, including EEG data processing; style
classification based on motor imagery models; style and content reconstruction models based on the VGG-19 network;
and the attention-based, RNN emotion-recognition model.
Finally, we described in detail a testbed platform of the
creative game and analyzed the fidelity rate of the works
generated by the system and its creativity. In future work,
we will consider using EEG data to record the brain state
of a user's creation, read out the brain's awareness, and
create a more intelligent and creative game system.

received the 1997 Edgeworth David Medal from the Royal
Society of New South Wales for outstanding contributions to Australian Science. He received the IEEE Technical Committee on Parallel Processing Outstanding Service Award in 2011; the IEEE Technical Committee on
Scalable Computing Medal for Excellence in Scalable
Computing in 2011; the IEEE Computer Society Technical
Achievement Award in 2014; the Association for Computing Machinery Modelling, Analysis and Simulation of
Wireless and Mobile Systems Reginald A. Fessenden
Award in 2017; and many best paper awards. He is a
Fellow of the IEEE, the American Association for the
Advancement of Science, and the Institution of Engineering and Technology.

Acknowledgments
This project was supported by the National Key R&D
Program of China under grant 2018YFC1314600. Albert
Y. Zomaya's work was supported by Australian Research
Council Discovery grant DP190103710.

style transfer in come swim," in Proc. ACM SIGGRAPH Digital Production Symp.,

References
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[2] S. Jiang and Y. Fu, "Fashion style generator," in Proc. 26th Int. Joint Conf. Artificial Intelligence (IJCAI), 2017, pp. 3721-3727.
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synthesis with structural coherence. 2017. [Online]. Available: arXiv:1710.07346

About the Authors
Min Chen (minchen2012@hust.edu.cn) has been a full professor with the School of Computer Science and Technology,
Huazhong University of Science and Technology, Wuhan,
China, since 2012. He is the chair of the IEEE Computer
Society Steering Technical Committee on Big Data. His
Google Scholars Citations have surpassed 19,500 and have
an h-index of 68. He received the IEEE Communications
Society Fred W. Ellersick Prize in 2017 and the IEEE Jack
Neubauer Memorial Award in 2019. He is a Senior Member
of the IEEE.
Yingying Jiang (yingyingjiang@hust.edu.cn) earned
her B.S. degree from the School of Information and Safety
Engineering, Zhongnan University of Economics and Law,
Wuhan, China, in June of 2017. She is currently a Ph.D. student at the Embedded and Pervasive Computing Laboratory
in the School of Computer Science and Technology, the
Huazhong University of Science and Technology, Wuhan,
China. Her research interests include healthcare big data,
and cognitive learning.
Yong Cao (yongcao_epic@hust.edu.cn) earned his B.S.
degree in communications engineering from the College of
Electrical Information, Sichuan University, Chengdu, China, in
2018. He is currently a Ph.D. student at the Embedded and
Pervasive Computing Laboratory in the School of Computer
Science and Technology, the Huazhong University of Science
and Technology, Wuhan, China.
Albert Y. Zomaya (albert.zomaya@sydney.edu.au) is
currently the Chair Professor of High Performance Computing and Networking in the School of Computer Science, the University of Sydney, Australia. He is also the
director of the Centre for Distributed and High Performance Computing, which was established in 2009. He
22

IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE Janu ar y 2020

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[15] L. A. Gatys, A. S. Ecker, and M. Bethge, A neural algorithm of artistic style. 2015.
[Online]. Available: arXiv:1508.06576



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