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High Accuracy Human Activity Recognition Based on Sparse Locality Preserving Projections
Human activity recognition(HAR) from the temporal streams of sensory data has been applied to many fields, such as healthcare services, intelligent environments and cyber security. However, the classification accuracy of most existed methods is not enough in some applications, especially for healthc...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5125603/ https://www.ncbi.nlm.nih.gov/pubmed/27893761 http://dx.doi.org/10.1371/journal.pone.0166567 |