Transfer Learning for Improved Audio-Based Human Activity Recognition

Human activities are accompanied by characteristic sound events, the processing of which might provide valuable information for automated human activity recognition. This paper presents a novel approach addressing the case where one or more human activities are associated with limited audio data, re...

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Detalles Bibliográficos
Autores principales: Ntalampiras, Stavros, Potamitis, Ilyas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163773/
https://www.ncbi.nlm.nih.gov/pubmed/29941845
http://dx.doi.org/10.3390/bios8030060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163773/
https://www.ncbi.nlm.nih.gov/pubmed/29941845
http://dx.doi.org/10.3390/bios8030060

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