Abstract

some hearing-impaired people face a communication problem. Even though they can communicate with others by using sign language, but a lot of people cannot understand the sign language. As a consequence, they can only communicate with limited people. Therefore, we need a Sign Language Recognition System (SLRs) which catch the sign language and translate them into text. Some research about SLRs have been done in some countries. But only a few people conducted research on Indonesian sign language. Further, the research were limited to static features for recognizing static sign language. Other researcher conducted a research on dynamic features, but the dynamic features were good only for dynamic sign language. Thus, in this study we proposed the integration between the static features and dynamic features to recognise both static sign language and dynamic sign language. In this study we conducted two integration scenario. Based on our experiment, recognising whether a gesture was static or dynamic before doing classification produced a good result. The accuracy of this proposed study reach 89% to recognise 20 words.

Original languageEnglish
Title of host publicationProceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages293-298
Number of pages6
ISBN (Electronic)9781538676547
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018 - Bali, Indonesia
Duration: 30 Aug 201831 Aug 2018

Publication series

NameProceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018

Conference

Conference2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
Country/TerritoryIndonesia
CityBali
Period30/08/1831/08/18

Keywords

  • Indonesian sign language
  • dynamic features
  • integration
  • static features

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