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Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss
This study proposes a drowsiness detection approach based on the combination of several different detection methods, with robustness to the input signal loss. Hence, if one of the methods fails for any reason, the whole system continues to work properly. To choose correct combination of the availabl...
Autores principales: | Samiee, Sajjad, Azadi, Shahram, Kazemi, Reza, Nahvi, Ali, Eichberger, Arno |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208253/ https://www.ncbi.nlm.nih.gov/pubmed/25256113 http://dx.doi.org/10.3390/s140917832 |
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