Human Activity Recognition Using Gaussian Mixture Hidden Conditional Random Fields

In healthcare, the analysis of patients' activities is one of the important factors that offer adequate information to provide better services for managing their illnesses well. Most of the human activity recognition (HAR) systems are completely reliant on recognition module/stage. The inspirat...

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Detalles Bibliográficos
Autores principales: Siddiqi, Muhammad Hameed, Alruwaili, Madallah, Ali, Amjad, Alanazi, Saad, Zeshan, Furkh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935449/
https://www.ncbi.nlm.nih.gov/pubmed/31915429
http://dx.doi.org/10.1155/2019/8590560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935449/
https://www.ncbi.nlm.nih.gov/pubmed/31915429
http://dx.doi.org/10.1155/2019/8590560

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