| CPC G06V 40/197 (2022.01) [G06T 7/60 (2013.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 40/193 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01)] | 5 Claims |
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1. A classification method using an imaging device, a feature extraction unit, and a classifier,
wherein the classifier comprises a classification model,
wherein the imaging device has a function of generating a group of images by continuous image capturing,
wherein the group of images comprises an image of an eye area,
wherein the eye comprises a white area,
wherein the white area is an area in which an eyeball is covered with a white coating,
wherein the classification method comprises the steps in which the feature extraction unit extracts the eye area from the group of images, extracts a blinking amplitude from the group of images, detects an image for determining start of eye blinking from the group of images, stores an image for determining end of eye blinking from the group of images as first data, and stores an image after a predetermined time elapsed from the first data from the group of images as second data,
wherein the classification method comprises the step in which the feature extraction unit extracts area data of the white area from the first data and the second data,
wherein the classification method comprises the step in which the feature extraction unit supplies the area data of the white area to the classifier as learning data, and
wherein the classification method comprises the step in which the classifier generates the classification model using the learning data.
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