The method, as described above, further comprising: illuminating the face of the subject; and recording a facial image. A digital camera having an infra-red source is used to illuminate the face and to record the facial image.
The method, as described above, further comprising: identifying the eye and the eyelids by using a facial feature recognition algorithm. The method, as described above, further comprising: identifying the eye and the eyelids by using a facial feature recognition algorithm.
The method, as described above, further comprising: verifying the presence of microsleep characteristic eye openness factor levels by measuring the eye openness factors as a function of time for a blink cycle of the eye. The eye openness factors levels include at least one eye openness level. The eye openness factors include one or more eye openness levels and five or less eye openness levels. The eye openness factors include five eye openness levels. The eye openness levels are associated with an open eye, the closure of the eyelids, partial or closed eye, and opening of the eyelids. The method, as described above, further comprising: verifying the presence of microsleep characteristic eye openness factor levels by measuring the eye openness factors as a function of time for a blink cycle of the eye. The eye openness factors levels include at least one eye openness level. The eye openness factors include one or more eye openness levels and five or less eye openness levels. The eye openness factors include five eye openness levels. The eye openness levels are associated with an open eye, the closure of the eyelids, partial or closed eye, and opening of the eyelids.
The method, as described above, in which the eye openness factors include five successive eye openness levels, the sequential detection of the five levels being indicative of microsleep characteristics. The method further comprising: determining additional eye openness factors if less than five successive eye openness factor levels are detected. The method, as described above, in which the eye openness factors include five successive eye openness levels, the sequential detection of the five levels being indicative of microsleep characteristics. The method further comprising: determining additional eye openness factors if less than five successive eye openness factor levels are detected.
The method, as described above, further comprising: computing eye opening and eye closure representative curves. The eye closure representative curves are computed using a negative slope and a second order polynomial regression applied to the eye openness factors of the first and second eye openness factor The method, as described above, further comprising: computing eye opening and eye closure representative curves. The eye closure representative curves are computed using a negative slope and a second order polynomial regression applied to the eye openness factors of the first and second eye openness factor
levels. The eye opening factors are computed using a positive slope and a second order polynomial regression applied to the eye openness factors of the fourth and fifth eye openness factor levels. The method further comprising: verifying the presence of microsleep eye opening and closing representative curves by computing the Pearson coefficient of the eye closure representative curves with regard to the first and second eye openness factor levels and the eye opening representative curves with regard to the fourth and fifth eye factor levels. The subject is informed when the Pearson coefficients are greater than or equal to a predetermined threshold value. levels. The eye opening factors are computed using a positive slope and a second order polynomial regression applied to the eye openness factors of the fourth and fifth eye openness factor levels. The method further comprising: verifying the presence of microsleep eye opening and closing representative curves by computing the Pearson coefficient of the eye closure representative curves with regard to the first and second eye openness factor levels and the eye opening representative curves with regard to the fourth and fifth eye factor levels. The subject is informed when the Pearson coefficients are greater than or equal to a predetermined threshold value.
The method, as described above, in which images of the face are sampled at a frequency of between 10 Hz and 60Hz. The method, as described above, in which images of the face are sampled at a frequency of between 10 Hz and 60Hz.
Need a little explaining ROSEBUD....I guess this is why I show some excitement at times.....
