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 forensics. To classi...

Descripción completa

Detalles Bibliográficos
Autores principales: Kozlow, Patrick, Abid, Noor, Yanushkevich, Svetlana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210198/
https://www.ncbi.nlm.nih.gov/pubmed/30287787
http://dx.doi.org/10.3390/s18103329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210198/
https://www.ncbi.nlm.nih.gov/pubmed/30287787
http://dx.doi.org/10.3390/s18103329

Ejemplares similares