Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/17971
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dc.contributor.authorAlnaim, N-
dc.contributor.authorAbbod, M-
dc.contributor.editorVerikas, A-
dc.contributor.editorNikolaev, DP-
dc.contributor.editorRadeva, P-
dc.contributor.editorZhou, J-
dc.coverage.spatialMunich, Germany-
dc.date.accessioned2019-04-30T12:58:13Z-
dc.date.available2019-01-01-
dc.date.available2019-04-30T12:58:13Z-
dc.date.issued2019-
dc.identifier.citationProceedings of the SPIE 11041. Eleventh International Conference on Machine Vision (ICMV 2018), 1104121 (15 March 2019, 9 pp.); doi: 10.1117/12.2522790en_US
dc.identifier.issn0277-786X-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/17971-
dc.language.isoenen_US
dc.rightsCopyright 2019 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.-
dc.sourceEleventh International Conference on Machine Vision (ICMV 2018)-
dc.sourceEleventh International Conference on Machine Vision (ICMV 2018)-
dc.subjectwavelet transformen_US
dc.subjectempirical mode decompositionen_US
dc.subjectartificial neural networksen_US
dc.subjectconvolutional neural networken_US
dc.subjectgesture recognitionen_US
dc.subjectHCIen_US
dc.titleMini gesture detection using neural networks algorithmsen_US
dc.typeConference Paperen_US
dc.identifier.doihttps://doi.org/10.1117/12.2522790-
dc.relation.isPartOfProceedings of SPIE - The International Society for Optical Engineering-
pubs.finish-date2018-11-03-
pubs.finish-date2018-11-03-
pubs.publication-statusPublished-
pubs.start-date2018-11-01-
pubs.start-date2018-11-01-
pubs.volume11041-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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