
In this paper, combined PERCLOS and AECS, we introduce an algorithm to detect the driver fatigue. The algorithm, based on color image skin color segment, can directly transforms the RGB form image to the gradation image by the skin color segmentation, and then the eyes is detected. Then we identify eyepsilas condition through the judgment of eye area. Finally, this driver fatigue monitor algorithm calculates the speed of eye close at a short time.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
