Edge4Real: A cost-effective edge computing based human behaviour recognition system for human-centric software engineering

Shao, Di, Liu, Xiao, Cheng, Ben, Wang, Owen and Hoang, Thuong Ngoc 2020, Edge4Real: A cost-effective edge computing based human behaviour recognition system for human-centric software engineering, in ASE2020 : Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, Association for Computing Machinery (ACM), New York, N.Y., pp. 1287-1291, doi: 10.1145/3324884.3415297.

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Title Edge4Real: A cost-effective edge computing based human behaviour recognition system for human-centric software engineering
Author(s) Shao, Di
Liu, XiaoORCID iD for Liu, Xiao orcid.org/0000-0001-8400-5754
Cheng, Ben
Wang, Owen
Hoang, Thuong NgocORCID iD for Hoang, Thuong Ngoc orcid.org/0000-0001-7354-260X
Conference name ASE2020. Automated Software Engineering. IEEE/ACM International Conference (35th : 2020 : Melbourne, Victoria - Virtual Event Australia)
Conference location Melbourne, Victoria - Virtual Event Australia
Conference dates 21 - 25 Sep. 2020
Title of proceedings ASE2020 : Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
Publication date 2020
Start page 1287
End page 1291
Total pages 5
Publisher Association for Computing Machinery (ACM)
Place of publication New York, N.Y.
Keyword(s) human behaviour recognition
human centric software engineering
edge computing
virtual reality
CORE2020 A
ISBN 9781450367684
ISSN 1938-4300
2643-1572
Language eng
DOI 10.1145/3324884.3415297
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2020, Association for Computing Machinery
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147445

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