Gait Type Analysis Using Dynamic Bayesian Networks
This paper focuses on gait abnormality type identification—specifically, recognizing antalgic gait. Through experimentation, we demonstrate that detecting an individual’s gait type is a viable biometric that can be used along with other common biometrics for applications such as...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-10-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/10/3329 |