Malaysian sign language recognition framework based on sensory glove

Malaysian sign language recognition framework based on sensory glove by Altaha, Mohamed Aktham Ahmed

Bibliographic Details
Main Author: Altaha, Mohamed Aktham Ahmed
Format: thesis
Language:English
Published: Tanjong Malim 2019
Subjects:
Online Access:https://ir.upsi.edu.my/detailsg.php?det=5224
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author Altaha, Mohamed Aktham Ahmed
author_facet Altaha, Mohamed Aktham Ahmed
author_sort Altaha, Mohamed Aktham Ahmed
description Malaysian sign language recognition framework based on sensory glove by Altaha, Mohamed Aktham Ahmed
format thesis
id oai:ir.upsi.edu.my:5224
institution Universiti Pendidikan Sultan Idris
language eng
publishDate 2019
publisher Tanjong Malim
record_format eprints
spelling oai:ir.upsi.edu.my:52242020-09-09 https://ir.upsi.edu.my/detailsg.php?det=5224 Malaysian sign language recognition framework based on sensory glove Altaha, Mohamed Aktham Ahmed QA Mathematics Tanjong Malim Fakulti Seni, Komputeran dan Industri Kreatif 2019 thesis text eng N/A https://ir.upsi.edu.my/detailsg.php?det=5224 openAccess Malaysian sign language recognition framework based on sensory glove by Altaha, Mohamed Aktham Ahmed
spellingShingle QA Mathematics
Altaha, Mohamed Aktham Ahmed
Malaysian sign language recognition framework based on sensory glove
title Malaysian sign language recognition framework based on sensory glove
title_full Malaysian sign language recognition framework based on sensory glove
title_fullStr Malaysian sign language recognition framework based on sensory glove
title_full_unstemmed Malaysian sign language recognition framework based on sensory glove
title_short Malaysian sign language recognition framework based on sensory glove
title_sort malaysian sign language recognition framework based on sensory glove
topic QA Mathematics
url https://ir.upsi.edu.my/detailsg.php?det=5224
url-record https://ir.upsi.edu.my/detailsg.php?det=5224
Fakulti Seni, Komputeran dan Industri Kreatif
work_keys_str_mv AT altahamohamedakthamahmed malaysiansignlanguagerecognitionframeworkbasedonsensoryglove