Recent Advances of Deep Learning for Sign Language Recognition

Lihong Zheng, Bin Liang, Ailian Jiang

Research output: Book chapter/Published conference paperConference paper

11 Citations (Scopus)

Abstract

To assist the social interaction of deaf and hearing impaired people, efficient interactive communication tools is expected. With the growing research interest in action and gesture recognition in the recent years, many successful applications for sign language recognition comprise new types of sensors including low-cost depth camera and advanced machine learning technologies. In this paper, we present a complete overview of deep learning based methodologies for sign language recognition. We discuss various types of such approaches designed for the recognition from viewpoints of available modalities provided by depth sensors, feature extraction and classification. In addition, we summarise the currently available datasets of sign language, including gestures of finger spelling and vocabulary words, which can be used as an assessing tool for those people who are learning sign languages. We then discuss the main current research works with particular interest on how they treat the different types of data, discussing their main features and identify opportunities and challenges for future research.
Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-7
Number of pages7
ISBN (Electronic)9781538628393
ISBN (Print)9781538628409
DOIs
Publication statusPublished - 21 Dec 2017
Event2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Novotel Sydney Manly Pacific, Sydney, Australia
Duration: 29 Nov 201701 Dec 2017
http://dicta2017.dictaconference.org/index.html (Conference website)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8226656 (Conference proceedings)

Conference

Conference2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
CountryAustralia
CitySydney
Period29/11/1701/12/17
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS).
Internet address

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    Zheng, L., Liang, B., & Jiang, A. (2017). Recent Advances of Deep Learning for Sign Language Recognition. In Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-7). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2017.8227483