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Multi-lingual fingerspelling recognition for handicapped kiosk

Citace: [] KINDEROGLU, A., YALCIN, H., ARAN, O., HRÚZ, M., CAMPR, P., AKARUN, L., KARPOV, A. Multi-lingual fingerspelling recognition for handicapped kiosk. Pattern Recognition and Image Analysis, 2011, roč. 21, č. 3, s. 402-406. ISSN: 1054-6618
Druh: ČLÁNEK
Jazyk publikace: eng
Anglický název: Multi-lingual fingerspelling recognition for handicapped kiosk
Rok vydání: 2011
Autoři: Alp Kinderoglu , Hulya Yalcin , Oya Aran , Ing. Marek Hrúz , Ing. Pavel Campr , Lale Akarun , Alexey Karpov
Abstrakt CZ: 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.
Abstrakt EN: 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.
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