Abstract
Communication is a key for human development. Nevertheless, deaf people have difficulty interacting with hearing and hard of hearing people. On the other hand, new technology allows gesture recognition. This work aims to promote the development of tools to take advantage of 3D camera technology for the benefit of the Deaf Community around the world. This research proposes a sign recognition model using 3d cameras (i.e. Leap Motion and Intel RealSense) and support vector machines (SVM). The goal is to support the communication process between deaf and hearing people. Furthermore, we conduct an experiment determining an appropriate amount of training sample signs to ensure satisfactory results using SVMs.
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Acknowledgments
This work was partially supported by the Escuela de Ciencias de la Computación e Informática at Universidad de Costa Rica (ECCI-UCR) grand No. 320-B5-291, by Centro de Investigaciones en Tecnologías de la Información y Comunicación de la Universidad de Costa Rica (CITIC-UCR), and by Ministerio de Ciencia, Tecnología y Telecomunicaciones (MICITT) and Consejo Nacional para Investigaciones Científicas y Tecnológicas (CONICIT) of the Government of Costa Rica.
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Quesada, L., López, G., Guerrero, L. (2016). Improving Deaf People Accessibility and Communication Through Automatic Sign Language Recognition Using Novel Technologies. In: Di Bucchianico, G., Kercher, P. (eds) Advances in Design for Inclusion. Advances in Intelligent Systems and Computing, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-319-41962-6_44
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DOI: https://doi.org/10.1007/978-3-319-41962-6_44
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