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Real-time hand gesture feature extraction using depth data

contributor authorHao Huang
contributor authorZhaojie Ju
contributor authorHonghai Liu
date accessioned2020-03-12T22:26:23Z
date available2020-03-12T22:26:23Z
date issued2014
identifier other7009118.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1083079?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleReal-time hand gesture feature extraction using depth data
typeConference Paper
contenttypeMetadata Only
identifier padid8219733
subject keywordsantenna arrays
subject keywordsn bow-tie antennas
subject keywordsn metamaterial antennas
subject keywordsn antenna parameters
subject keywordsn array antenna dimension
subject keywordsn bow-tie end-fire antenna
subject keywordsn double G-shaped unit-cell
subject keywordsn frequency 57 GHz to 64 GHz
subject keywordsn front-to back ratio
subject keywordsn high-gain bow-tie antenna array
subject keywordsn low-index metamaterial
subject keywordsn low-index metmaterial unit-cell
subject keywordsn side-lobe level
subject keywordsn Antenna arrays
subject keywordsn Arrays
subject keywordsn Gain
subject keywordsn Loaded antennas
subject keywordsn Metamaterials
subject keywordsn 60 GHz
subject keywordsn Low index metamaterials
subject keywordsn effective perm
identifier doi10.1109/ANTEM.2014.6887713
journal titleachine Learning and Cybernetics (ICMLC), 2014 International Conference on
filesize910971
citations0


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