Multi-lingual fingerspelling recognition for handicapped kiosk

Authors:
A. A. Kindiroglu;H. Yalcin;O. Aran;M. Hruz;P. Campr;L. Akarun;A. Karpov
Affiliations:
Deparment of Computer Engineering, Bogazici University, Istanbul, Turkey;Deparment of Computer Engineering, Bogazici University, Istanbul, Turkey;Idiap Research Institute, Martigny, Switzerland;University of West Bohemia, Pilsen, Czech Republic;University of West Bohemia, Pilsen, Czech Republic;Deparment of Computer Engineering, Bogazici University, Istanbul, Turkey;SPIIRAS Institute, St.Petersburg, Russia
Venue:
Pattern Recognition and Image Analysis
Year:
2011

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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 more than four hours of training and test videos.