Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes

As research in smart homes and activity recognition is increasing, it is of ever increasing importance to have benchmarks systems and data upon which researchers can compare methods. While synthetic data can be useful for certain method developments, real data sets that are open and shared are equal...

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Detalles Bibliográficos
Autores principales: Köckemann, Uwe, Alirezaie, Marjan, Renoux, Jennifer, Tsiftes, Nicolas, Ahmed, Mobyen Uddin, Morberg, Daniel, Lindén, Maria, Loutfi, Amy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038760/
https://www.ncbi.nlm.nih.gov/pubmed/32041376
http://dx.doi.org/10.3390/s20030879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038760/
https://www.ncbi.nlm.nih.gov/pubmed/32041376
http://dx.doi.org/10.3390/s20030879

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