Automatic recognition fingerspelling gestures in multiple languages for a communication interface for the disabled

A. Alp Kindiroglu, H. Yalcin, O. Aran, M. Hrúz, P. Campr, L. Akarun, A. Karpov

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

This paper presents the design and evaluation of a multi-lingual fingerspelling recognition module that is designed for an information terminal. Through the use of multimodal input and output methods, the information terminal acts as a communication medium between deaf and blind people. The system converts fingerspelled words to speech and vice versa using fingerspelling recognition, fingerspelling synthesis, speech recognition and speech synthesis in Czech, Russian, and Turkish languages. We describe an adaptive skin color based fingersign recognition system with a close to real-time performance and present recognition results on 88 different letters signed by five different signers, using above four hours of training and test videos.

Original languageEnglish
Pages (from-to)527-536
Number of pages10
JournalPattern Recognition and Image Analysis
Volume22
Issue number4
DOIs
Publication statusPublished - Dec 2012
Externally publishedYes

Funding

6. ACKNOWLEDGMENTS This research was supported by the Ministry of Edu cation of the Czech Republic, project no. ME08106; by the EU and the Ministry of Education of the Czech Republic, project no. CZ.1.07/2.3.00/09.0050; by the Grant Agency of Academy of Sciences of the Czech Republic, project no. 1ET101470416; by the Ministry of Education and Science of Russia, contract no. 11.519.11.4025; by the grant of the President of Russia, project no. MK 1880.2012.8; by the Bogazici University Research Fund, grant agreement no. 6061.

FundersFunder number
Bogazici University Research Fund6061
Ministry of Edu cation of the Czech RepublicME08106
European Commission
Ministerstvo Školství, Mládeže a TělovýchovyCZ.1.07/2.3.00/09.0050
Ministry of Education and Science of the Russian Federation11.519.11.4025
Akademie Věd České Republiky1ET101470416

    Keywords

    • assistive technologies
    • fingerspelling recognition
    • sign language

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