Footstep Recognition Using Mel Frequency Cepstral Coefficients and Artificial Neural Network
Footstep recognition is relatively new biometrics and based on the learning of footsteps signals captured from people walking on the sensing area. The footstep signals classification process for security systems still has a low level of accuracy. Therefore, we need a classification system that has a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ikatan Ahli Informatika Indonesia
2020-06-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/1964 |