Person recognition with data mining methods from footstep sounds
2020
0 views
0 downloads
Advisor: Dr. Öğr. Üyesi Emrah Aydemir
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.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Kırşehir Ahi Evran University
- In teaching of mathematical concept, the effect of storyline method on attitude and success(2013)
- Jean-Jacques Rousseau's thoughts on life science and education in his Work "emile"(2019)
- The effect of pre-breeding weights and placental characteristics on birth weight in Karayaka sheeps(2020)
- H. 1301 (M. 1884) in light of the yearbook dated hejaz province during the reign of Abdulhamid II (History and geography, social-cultural, economic, administrative-military structure)(2020)
- Proteinurin in diabetic patients effect on mortality(2022)
- Wind energy forecasting methods: A case study of the long short term memory model (LSTM)(2024)