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)

Full text not available from this repository.
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
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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