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On-Device Deep Learning Inference for Efficient Activity Data Collection
Labeling activity data is a central part of the design and evaluation of human activity recognition systems. The performance of the systems greatly depends on the quantity and “quality” of annotations; therefore, it is inevitable to rely on users and to keep them motivated to provide activity labels...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696120/ https://www.ncbi.nlm.nih.gov/pubmed/31387314 http://dx.doi.org/10.3390/s19153434 |