Facial Feature Description
Here, we will briefly list the facial features used, their computation, their ranges, and how to interpret them.
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Definition: EAR (eye-aspect-ratio) is a measure used in facial technology to assess the openness or closure of the eyes in an image or video.
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Calculation: It is calculated by comparing the ratio of the distance between specific landmarks on the eye (six in our case; see image below), typically the inner corner, outer corner, and the highest point of the eyelid, to the distance between the same landmarks on a closed eye.
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Purpose: EAR is often employed in various applications such as drowsiness detection, fatigue levels monitoring, alertness assessment, or medical applications regarding eye health.
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Range: A higher EAR value indicates open eyes, while a lower value suggests closed or partially closed eyes. Most of the values in the range of [0,1] are possible.
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Limitations: While EAR can be a useful metric, especially due to its distance invariance, factors like rotation can affect its measurements.
