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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...
में बचाया:
| में प्रकाशित: | PLoS One |
|---|---|
| मुख्य लेखकों: | , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Public Library of Science
2016
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5125603/ https://ncbi.nlm.nih.gov/pubmed/27893761 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0166567 |
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