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Application for Stutter Disability Using Machine Learning

Hand gesture identification is one technique for identifying hand motions in live video. Within a certain field of study, the hand gesture is classified. Designing the hand gesture detection system for this study is one of the difficult challenges, and it has two key problems. The first step is hand...

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Main Author: Mohd Hameran, Nurin Hannani
Format: Final Year Project
Language:English
Published: 2022
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/24514/1/Application%20for%20Stutter%20Disability%20Using%20Machine%20Learning.pdf
http://utpedia.utp.edu.my/id/eprint/24514/
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spelling oai:utpedia.utp.edu.my:245142023-05-18T04:06:41Z http://utpedia.utp.edu.my/id/eprint/24514/ Application for Stutter Disability Using Machine Learning Mohd Hameran, Nurin Hannani T Technology (General) Hand gesture identification is one technique for identifying hand motions in live video. Within a certain field of study, the hand gesture is classified. Designing the hand gesture detection system for this study is one of the difficult challenges, and it has two key problems. The first step is hand identification. Another issue is developing a sign that can be operated with only one hand at a time. 2022-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24514/1/Application%20for%20Stutter%20Disability%20Using%20Machine%20Learning.pdf Mohd Hameran, Nurin Hannani (2022) Application for Stutter Disability Using Machine Learning. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mohd Hameran, Nurin Hannani
Application for Stutter Disability Using Machine Learning
description Hand gesture identification is one technique for identifying hand motions in live video. Within a certain field of study, the hand gesture is classified. Designing the hand gesture detection system for this study is one of the difficult challenges, and it has two key problems. The first step is hand identification. Another issue is developing a sign that can be operated with only one hand at a time.
format Final Year Project
author Mohd Hameran, Nurin Hannani
author_facet Mohd Hameran, Nurin Hannani
author_sort Mohd Hameran, Nurin Hannani
title Application for Stutter Disability Using Machine Learning
title_short Application for Stutter Disability Using Machine Learning
title_full Application for Stutter Disability Using Machine Learning
title_fullStr Application for Stutter Disability Using Machine Learning
title_full_unstemmed Application for Stutter Disability Using Machine Learning
title_sort application for stutter disability using machine learning
publishDate 2022
url http://utpedia.utp.edu.my/id/eprint/24514/1/Application%20for%20Stutter%20Disability%20Using%20Machine%20Learning.pdf
http://utpedia.utp.edu.my/id/eprint/24514/
_version_ 1768010135271112704
score 13.211869

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