Hand Gesture Recognition Methods and Applications: A Literature Survey

Lazzat Zulpukharkyzy Zholshiyeva, Tamara Kokenovna Zhukabayeva, Sherzod Turaev, Meruyert Aimambetovna Berdiyeva, Dina Tokhtasynovna Jambulova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Automatic Hand Gesture Recognition has become more important in recent years. Due to an increasing number of the deaf and hearing impaired, the use of a variety of non-contact-based applications and devices has also been increased. With the development of modern technology, it also plays a key role in the human-computer interaction systems. Sign language is the main instrument of communication among the deaf, the hearing impaired and the non-verbal. However, there are barriers for these groups in their daily interaction with people who do not understand any sign language. The recent studies in algorithm analysis and computer vision have led to the development of innovative efficient and accurate gesture recognition methods. Since HGR is the basis for sign language analysis, this paper is devoted to conducting the literary survey of hand gesture detection and recognition methods and algorithms, existing sign languages and their applications. The results of this paper can be summarized as following: artificial neural networks, which use advanced methods and algorithms for hand gesture detection and recognition, is the most useful classifier for the recognition of Kazakh Sign Language. In this paper, about 70 references published from 2012 to 2021 were reviewed for identifying common methods for hand gesture recognition.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Engineering and MIS, ICEMIS 2021
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450390446
DOIs
Publication statusPublished - Oct 11 2021
Event7th International Conference on Engineering and MIS, ICEMIS 2021 - Virtual, Online, Kazakhstan
Duration: Oct 11 2021Oct 13 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Engineering and MIS, ICEMIS 2021
Country/TerritoryKazakhstan
CityVirtual, Online
Period10/11/2110/13/21

Keywords

  • Computer vision
  • Deep learning
  • Feature extraction
  • Hand gesture recognition
  • Sign language

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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