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Energy Efficient Pupil Tracking Based on Rule Distillation of Cascade Regression Forest
As the demand for human-friendly computing increases, research on pupil tracking to facilitate human–machine interactions (HCIs) is being actively conducted. Several successful pupil tracking approaches have been developed using images and a deep neural network (DNN). However, common DNN-based metho...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570576/ https://www.ncbi.nlm.nih.gov/pubmed/32916968 http://dx.doi.org/10.3390/s20185141 |