Person recognition with data mining methods from footstep sounds
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Abstract (EN)
This study focuses on the recognition of voice recognition, which is one of the person recognition systems, through data mining methods from a person's heel sounds. The main difference from other person recognition systems is that it is possible to get approval from the person recognition system with natural walking movement without extra effort.
Author
Musa Ünsal
Institution
How to Cite
Musa Ünsal (Master Thesis). Person recognition with data mining methods from footstep sounds, 2020, Kırşehir Ahi Evran University.
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