A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition

Human activity recognition has become an important research topic within the field of pervasive computing, ambient assistive living (AAL), robotics, health-care monitoring, and many more. Techniques for recognizing simple and single activities are typical for now, but recognizing complex activities...

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Detalles Bibliográficos
Autores principales: Thapa, Keshav, Abdullah Al, Zubaer Md., Lamichhane, Barsha, Yang, Sung-Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601290/
https://www.ncbi.nlm.nih.gov/pubmed/33053720
http://dx.doi.org/10.3390/s20205770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601290/
https://www.ncbi.nlm.nih.gov/pubmed/33053720
http://dx.doi.org/10.3390/s20205770

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