Towards Human Activity Recognition: A Hierarchical Feature Selection Framework

The inherent complexity of human physical activities makes it difficult to accurately recognize activities with wearable sensors. To this end, this paper proposes a hierarchical activity recognition framework and two different feature selection methods to improve the recognition performance. Specifi...

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Detalles Bibliográficos
Autores principales: Wang, Aiguo, Chen, Guilin, Wu, Xi, Liu, Li, An, Ning, Chang, Chih-Yung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263870/
https://www.ncbi.nlm.nih.gov/pubmed/30366461
http://dx.doi.org/10.3390/s18113629

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263870/
https://www.ncbi.nlm.nih.gov/pubmed/30366461
http://dx.doi.org/10.3390/s18113629

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