Hand posture geometrical features using depth-based images for sign language recognition /

Thesis (Doktor Falsafah, Bidang Penyelidikan: Sains Komputer)) - Universiti Teknologi Malaysia, 2016

Bibliographic Details
Main Author: Saba Joudaki, 1982-, author
Format:
Language:eng
Published: Johor Bahru, Johor : Universiti Teknologi Malaysia, 2016
Subjects:
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author Saba Joudaki, 1982-, author
author_facet Saba Joudaki, 1982-, author
author_sort Saba Joudaki, 1982-, author
collection OCEAN
description Thesis (Doktor Falsafah, Bidang Penyelidikan: Sains Komputer)) - Universiti Teknologi Malaysia, 2016
first_indexed 2024-03-05T15:32:31Z
format
id KOHA-OAI-TEST:540508
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T15:32:31Z
publishDate 2016
publisher Johor Bahru, Johor : Universiti Teknologi Malaysia,
record_format dspace
spelling KOHA-OAI-TEST:5405082020-12-19T17:20:24ZHand posture geometrical features using depth-based images for sign language recognition / Saba Joudaki, 1982-, author Johor Bahru, Johor : Universiti Teknologi Malaysia,2016engThesis (Doktor Falsafah, Bidang Penyelidikan: Sains Komputer)) - Universiti Teknologi Malaysia, 2016Bibliography: p. 226-2439.PSZJBLHuman-computer interactionSpeech and gesture
spellingShingle Human-computer interaction
Speech and gesture
Saba Joudaki, 1982-, author
Hand posture geometrical features using depth-based images for sign language recognition /
title Hand posture geometrical features using depth-based images for sign language recognition /
title_full Hand posture geometrical features using depth-based images for sign language recognition /
title_fullStr Hand posture geometrical features using depth-based images for sign language recognition /
title_full_unstemmed Hand posture geometrical features using depth-based images for sign language recognition /
title_short Hand posture geometrical features using depth-based images for sign language recognition /
title_sort hand posture geometrical features using depth based images for sign language recognition
topic Human-computer interaction
Speech and gesture
work_keys_str_mv AT sabajoudaki1982author handposturegeometricalfeaturesusingdepthbasedimagesforsignlanguagerecognition