Abstract
Nowadays (in 2018), we are facing an accelerated development of smart devices. This technological boom is based on rapidly growing software and hardware requirements not only from the users, but also from producers. Statistic results show that every second person in the world will pose a smart phone (i.e., smart mobile device) in 2018. The majority of our society uses these devices for daily purposes, such as communications, work, but there are many other capabilities of these devices to be discovered. One of their best potential represents their utilization for handicapped or sensually impaired people. In this article, the authors present a specialized smart solution developed especially to help people with hearing impairment. Compared to conventional compensating aids, the developed solution connect modern technologies and originality. The aim of the solution is to digitally capture the ambient sound and based on its evaluation using neural networks, to present users needed information in a text form. To accomplish this smart solution, are used modern cloud services and a special smart device – Google Glass (abbreviated GG). These smart goggles offer sensors with the ability to compensate user’s disadvantages. In the direction of facilitating the work for hearing impaired people, authors intend to further develop this technology and offer solutions in the following research to make daily life easier for people with hearing impairment.
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Acknowledgement
This work and the contribution were supported by the project of Students Grant Agency – FIM, University of Hradec Kralove, Czech Republic, no. 2108 “Spatial positioning and visualization”. Ales Berger is a student member of the research team.
Thanks to IHMC in Florida and mainly to Niranjan Suri for providing Google Glass device for free, which was very important for our research. The Google Glass device will be also used in the next step of authors’ research.
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Berger, A., Maly, F. (2018). Prototype of a Smart Google Glass Solution for Deaf (and Hearing Impaired) People. In: Younas, M., Awan, I., Ghinea, G., Catalan Cid, M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2018. Lecture Notes in Computer Science(), vol 10995. Springer, Cham. https://doi.org/10.1007/978-3-319-97163-6_4
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DOI: https://doi.org/10.1007/978-3-319-97163-6_4
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