A heuristic Hidden Markov Model to recognize inflectional words in sign system for Indonesian language known as SIBI (Sistem Isyarat Bahasa Indonesia)

Erdefi Rakun, Mohamad Ivan Fanany, I. Wayan Wiprayoga Wisesa, Andros Tjandra

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

6 Citations (Scopus)

Abstract

SIBI (Sistem Isyarat Bahasa Indonesia) is the commonly used sign language in Indonesia. SIBI, which follows Indonesian language's grammatical structure, is a complex and unique sign language. A method to recognize SIBI gestures in a rapid, precise and efficient manner needs to be developed for the SIBI machine translation system. Feature extraction method with space-efficient feature set and at the same time retained its capability to recognize different types of SIBI gestures is the ultimate goal. There are four types of SIBI gestures: root, affix, inflectional and function word gestures. This paper proposed to use heuristic Hidden Markov Model and a feature extraction system to separate inflectional gesture into its constituents, prefix, suffix and root. The separation reduces the amount of feature sets that would otherwise as big as the product of the prefixes, suffixes and root words feature sets of the inflectional word gestures.

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages53-58
Number of pages6
ISBN (Electronic)9781467374118
DOIs
Publication statusPublished - 21 Jan 2016
EventInternational Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2015 - Samosir Island, Toba Lake, Indonesia
Duration: 7 Sep 20159 Sep 2015

Publication series

NameProceedings of the 2015 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2015

Conference

ConferenceInternational Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2015
Country/TerritoryIndonesia
CitySamosir Island, Toba Lake
Period7/09/159/09/15

Keywords

  • heuristic
  • Hidden Markov Model
  • Kinect sensors
  • SIBI
  • sign language recognition

Fingerprint

Dive into the research topics of 'A heuristic Hidden Markov Model to recognize inflectional words in sign system for Indonesian language known as SIBI (Sistem Isyarat Bahasa Indonesia)'. Together they form a unique fingerprint.

Cite this