From Lab to Real World: Assessing the Effectiveness of Human Activity Recognition and Optimization through Personalization

Human activity recognition (HAR) algorithms today are designed and evaluated on data collected in controlled settings, providing limited insights into their performance in real-world situations with noisy and missing sensor data and natural human activities. We present a real-world HAR open dataset...

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Detalles Bibliográficos
Autores principales: Stojchevska, Marija, De Brouwer, Mathias, Courteaux, Martijn, Ongenae, Femke, Van Hoecke, Sofie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220886/
https://www.ncbi.nlm.nih.gov/pubmed/37430521
http://dx.doi.org/10.3390/s23104606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220886/
https://www.ncbi.nlm.nih.gov/pubmed/37430521
http://dx.doi.org/10.3390/s23104606

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