Skripsi

PENGENALAN ALFABET A-Z BAHASA ISYARAT AMERICAN SIGN LANGUAGE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE. 

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Penilaian

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Deafness is a condition where a person's hearing cannot function normally. As a result, these conditions affect ongoing interactions, making it difficult to understand and convey information. Communication problems for the deaf are handled through the introduction of various forms of sign language, one of which is American Sign Language. Computer Vision-based sign language recognition often takes a long time to develop, is less accurate, and cannot be done directly or in real-time. As a result, a solution is needed to overcome this problem. In the system training process, using the Support Vector Machine method to classify data and testing is carried out using the RBF kernel function with C parameters, namely 10, 50, and 100. The results show that the Support Vector Machine method with a C parameter value of 100 has better performance. This is evidenced by the increased accuracy of the RBF C=100 kernel, which is 99%

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307001798	T101458	T1014582023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T1014582023

Publisher

Palembang : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiii, 76 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.740 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Informatika
Pemerosesan Data elektrinik

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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