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...

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Detalles Bibliográficos
Autores principales: Samiee, Sajjad, Azadi, Shahram, Kazemi, Reza, Nahvi, Ali, Eichberger, Arno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
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

Internet

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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