Towards a Clustering Guided Hierarchical Framework for Sensor-Based Activity Recognition

Human activity recognition plays a prominent role in numerous applications like smart homes, elderly healthcare and ambient intelligence. The complexity of human behavior leads to the difficulty of developing an accurate activity recognizer, especially in situations where different activities have s...

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Detalles Bibliográficos
Autores principales: Wang, Aiguo, Zhao, Shenghui, Keh, Huan-Chao, Chen, Guilin, Roy, Diptendu Sinha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587318/
https://www.ncbi.nlm.nih.gov/pubmed/34770269
http://dx.doi.org/10.3390/s21216962

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587318/
https://www.ncbi.nlm.nih.gov/pubmed/34770269
http://dx.doi.org/10.3390/s21216962

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