Abstract
This paper presents a low-cost wireless sign language translator for interpreting and having a conversation between deft and non-deft persons. The system is a glove-like one with sensors embedded in every finger of the glove as to fusion the information from multiple sources and accurately providing an output of the sign language. The paper presents the hardware modules and the software workflows that were used to implement the system and it shows a first prototype of the system. The achieved accuracy, in terms of sign detection, is around 85%.
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References
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Acknowledgments
This work was supported by a grant of the Ministry of Innovation and Research, UEFISCDI, project number 5 Sol/2017 within PNCDI III, by the Sectoral Operational Programme Human Resources Development 2007–2013 of the Ministry of European Funds through the Financial Agreement POSDRU/159/1.5/S/132397 and by the ERDF funded project “Research Ecosystems for development and innovation of IT&C services and products for a society connected to IoT – NETIO”. The authors thank to SES, the world-leading operator of ASTRA satellites, for their kind support in presentation and publishing of this paper.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Stoicescu, A.F., Craciunescu, R., Fratu, O. (2018). Sign Language Translator System. In: Fratu, O., Militaru, N., Halunga, S. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-92213-3_13
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DOI: https://doi.org/10.1007/978-3-319-92213-3_13
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Online ISBN: 978-3-319-92213-3
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