Malaysian sign language recognition framework based on sensory glove
The purpose of this study was to propose a low-cost and real-time recognition system using asensory glove, which has 17 sensors with 65 channels to capture static sign data of the Malaysiansign language (MSL). The study uses an experimental design. Five participants well-known MSLwere chosen to perf...
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Main Author: | Altaha, Mohamed Aktham Ahmed |
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Format: | thesis |
Language: | eng |
Published: |
2019
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Subjects: | |
Online Access: | https://ir.upsi.edu.my/detailsg.php?det=5224 |
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