Indonesian language sign system (SIBI) recognition using threshold conditional random fields

I. Gusti Bagus Hadi Widhinugraha, Erdefi Rakun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Sign System for Indonesian Language or Sistem Isyarat Bahasa Indonesia? (SIBI) is a sign language system that is used to represent Indonesian language. The referred sign language is a systematic movement of fingers and hands to represent a vocabulary. This paper utilizes the Threshold Conditional Random Field (TCRF) model to identify gesture and nongesture automatically. The generated model is an early model to establish a SIBI translation system automatically. Data that were utilized in this research are Skeleton, Image, and Skeleton Image Combination. Data were processed by implementing TCRF algorithm to provide gesture and non-gesture labels automatically. Several experiments had pointed to the highest accuracy up to 81,5% by using skeletal data as an input in TCRF.

Original languageEnglish
Title of host publicationICCPR 2019 - 2019 8th International Conference on Computing and Pattern Recognition
PublisherAssociation for Computing Machinery
Pages380-384
Number of pages5
ISBN (Electronic)9781450376570
DOIs
Publication statusPublished - 23 Oct 2019
Event8th International Conference on Computing and Pattern Recognition, ICCPR 2019 - Beijing, China
Duration: 23 Oct 201925 Oct 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Computing and Pattern Recognition, ICCPR 2019
CountryChina
CityBeijing
Period23/10/1925/10/19

Keywords

  • Conditional random field
  • SIBI
  • Sign language recognition
  • Threshold

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