Abstract
We conducted a mapping study to investigate how the scientific community uses Ambient intelligence technologies to assist visually impaired people. Our initial search identified a total of 807 publications; after applying our selection criteria, we accepted 65 publications. We seek to show which technologies, methodologies, techniques, architectures, features, and evaluations are most used. Results indicated that only 15.53% have a specific focus on people who are visually impaired. Most of the results were published in 2015. Most authors used their own architectures. Many results used techniques such as Detection and recognition, Artificial Intelligence, Networking, and others.
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The list of accepted paper references is available at https://github.com/julianadamasio/mappingstudy.git.
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This study was financed in part by CAPES—Finance Code 001.
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Oliveira, J.D., de Moraes Junior, J.A.L., Bordini, R.H. (2021). Ambient Intelligence Technologies for Visually Impaired: A Mapping Study. In: Latifi, S. (eds) ITNG 2021 18th International Conference on Information Technology-New Generations. Advances in Intelligent Systems and Computing, vol 1346. Springer, Cham. https://doi.org/10.1007/978-3-030-70416-2_21
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