A novel crossings-based segmentation approach for gesture recognition

Anderez, D.O., Lotfi, A. ORCID: 0000-0002-5139-6565 and Langensiepen, C. ORCID: 0000-0002-0165-9048, 2018. A novel crossings-based segmentation approach for gesture recognition. In: A. Lotfi ORCID: 0000-0002-5139-6565, H. Bouchachia, A. Gegov, C. Langensiepen ORCID: 0000-0002-0165-9048 and M. McGinnity ORCID: 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. 383-391. ISBN 9783319979816 (Forthcoming)

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Item Type:	Chapter in book
Creators:	Anderez, D.O., Lotfi, A. and Langensiepen, C.
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_32 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	20 Aug 2018 10:41
Last Modified:	20 Aug 2018 10:41
URI:	https://irep.ntu.ac.uk/id/eprint/34356

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