Person Identification by Footstep Sound Using Convolutional Neural Networks
Human gait is very individual and it may serve as biometric to identify people in camera recordings. Comparable results can be achieved while using the acoustic signature of human footstep sounds. This acoustic solution offers the opportunity of less installation space and the use of cost-efficient...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Applied Mechanics |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-3161/2/2/16 |