Heisenberg, Jan (2023) Ultraschall Datenschutz. Masters thesis, University of Rostock.
Text
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Abstract
Ultrasound is used for positioning algorithms in public spaces with humans unable to hear that frequency range. These algorithms do not take security of the sound waves into account. As part of this work, ultrasound generated by humans is examined. Especially the depth of information contained in the audio. Additionally a convolutional neural network is created to classify between human ultrasound and non-human ultrasound.
Item Type: | Thesis (Masters) |
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Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Depositing User: | Heisenberg |
Date Deposited: | 12 Jun 2024 08:56 |
Last Modified: | 12 Jun 2024 08:58 |
URI: | http://eprints.iuk.informatik.uni-rostock.de/id/eprint/712 |
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