Clustering-based fuzzy finite state machine for human activity recognition

Mohmed, G, Lotfi, A ORCID: https://orcid.org/0000-0002-5139-6565, Langensiepen, C ORCID: https://orcid.org/0000-0002-0165-9048 and Pourabdollah, A ORCID: https://orcid.org/0000-0001-7737-1393, 2018. Clustering-based fuzzy finite state machine for human activity recognition. In: Lotfi, A ORCID: https://orcid.org/0000-0002-5139-6565, Bouchachia, H, Gegov, A, Langensiepen, C ORCID: https://orcid.org/0000-0002-0165-9048 and McGinnity, M ORCID: https://orcid.org/0000-0002-9897-4748, eds., Advances in computational intelligence systems: contributions presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Advances in intelligent systems and computing (AISC), 840 . Cham, Switzerland: Springer, pp. 264-275. ISBN 9783319979816

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Item Type:	Chapter in book
Creators:	Mohmed, G., Lotfi, A., Langensiepen, C. and Pourabdollah, A.
Publisher:	Springer
Place of Publication:	Cham, Switzerland
Date:	2018
Volume:	840
ISBN:	9783319979816
ISSN:	2194-5357
Identifiers:	Number Type 10.1007/978-3-319-97982-3_22 DOI 678801 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	20 Aug 2018 12:43
Last Modified:	29 Oct 2021 08:06
URI:	https://irep.ntu.ac.uk/id/eprint/34361

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