Abstract
Eye tracking technologies play important role in many VR and AI applications. In this paper will be described some possible solutions based on these technologies, which are oriented for security areas, and user authentication tasks. In particular new visual codes will be defined, which allow to authenticate persons, based on theirs cognitive skills, and possibilities of performing fast recognition and semantic evaluation of observed patterns.
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Acknowledgments
This work has been supported by the AGH University of Science and Technology research Grant No 16.16.120.773. This work has been supported by the National Science Centre, Poland, under project number DEC-2016/23/B/HS4/00616.
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Ogiela, M.R., Ogiela, L. (2020). Eye Tracking Technology in Personal Authentication Protocols. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_8
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