METHODS AND APPARATUS TO MEASURE FACIAL ATTENTION

1 . An apparatus to comprising:

at least one memory;

machine readable instructions; and

processor circuitry to at least one of instantiate or execute the machine readable instructions to:

identify facial landmarks from input image data, the facial landmarks corresponding to coordinates of landmarks of a face detected in the input image data;

determine a first distance between a first facial landmark of the facial landmarks and a second facial landmark of the facial landmarks;

determine a second distance between the first facial landmark and a third facial landmark of the facial landmarks; and

compare a quotient of the first distance and the second distance to a threshold to determine an attentiveness metric.

2 . The apparatus of claim 1 , wherein the processor circuitry is to:

determine that no facial landmarks were identified;

in response to no facial landmarks being identified, instruct an image capturing device to adjust a configuration of the image capturing device; and

obtain adjusted input image data from the image capturing device.

3 . The apparatus of claim 1 , wherein the quotient is a first quotient, the threshold is a first threshold, and the processor circuitry is to:

determine the first quotient satisfies the first threshold; and

compare a second quotient of a third distance and a fourth distance to a second threshold to determine the attentiveness metric, the third distance between the first facial landmark and a fourth facial landmark of the facial landmarks, the fourth distance between the first facial landmark and a fifth facial landmark of the facial landmarks.

4 . The apparatus of claim 3 , wherein the processor circuitry is to, in response to the second quotient not satisfying the threshold, identify that the face is distracted.

5 . The apparatus of claim 1 , wherein the processor circuitry is to:

determine an area of the face;

determine a first normalized distance based on a square root of the area of the face and the first distance; and

determine a second normalized distance based on the square root of the area of the face and the second distance.

6 . The apparatus of claim 1 , wherein the processor circuitry is to track the attentiveness metric of the face over a period of time using centroid tracking.

7 . The apparatus of claim 1 , wherein the input image data includes a first image and a second image, the face is a first face detected in the first image, the attentiveness metric is a first attentiveness metric associated with the first face in the first image, the threshold is a first threshold, and the processor circuitry is to:

obtain a first set of bounding box coordinates bounding the first face in the first image and a second set of bounding box coordinates bounding a second face detected in the second image;

determine a first center coordinate of the first set of bounding box coordinates;

assign an object identifier to the first center coordinate;

determine a second center coordinate of the second set of bounding box coordinates;

compare a third distance between the first center coordinate and the second center coordinate to a second threshold to determine whether the second center coordinate is associated with the first center coordinate;

in response to the third distance satisfying the second threshold, assign the object identifier to the second center coordinate to identify the second face as corresponding to the first face; and

determine a second attentiveness metric associated with the second face in the second image.

8 . The apparatus of claim 7 , wherein the processor circuitry is to:

in response to the third distance not satisfying the second threshold, assign a unique object identifier to the second center coordinate, the unique object identifier identify the second face is different from the first face; and

determine a third attentiveness metric associated with the second face in the second image.

9 . The apparatus of claim 1 , wherein the threshold is indicative of a maximum amount of deviation from a neutral face before the face is identified as distracted.

10 . A non-transitory machine readable storage medium comprising instructions that, when executed, cause processor circuitry to at least:

identify facial landmarks from input image data, the facial landmarks corresponding to coordinates of landmarks of a face detected in the input image data;

determine a first distance between a first facial landmark of the facial landmarks and a second facial landmark of the facial landmarks;

determine a second distance between the first facial landmark and a third facial landmark of the facial landmarks; and

compare a quotient of the first distance and the second distance to a threshold to determine an attentiveness metric.

11 . The non-transitory computer-readable medium of claim 10 , wherein the instructions, when executed, cause the machine to:

determine that no facial landmarks were identified;

in response to no facial landmarks being identified, instruct an image capturing device to adjust a configuration of the image capturing device; and

obtain adjusted input image data from the image capturing device.

12 . The non-transitory computer-readable medium of claim 10 , wherein the quotient is a first quotient, the threshold is a first threshold and the instructions, when executed, cause the machine to:

determine the first quotient satisfies the first threshold; and

compare a second quotient of a third distance and a fourth distance to a second threshold to determine the attentiveness metric, the third distance between the first facial landmark and a fourth facial landmark of the facial landmarks, the fourth distance between the first facial landmark and a fifth facial landmark of the facial landmarks.

13 . The non-transitory computer-readable medium of claim 12 , wherein the instructions, when executed, cause the machine to, in response to the second quotient not satisfying the threshold, identify that the face is distracted.

14 . The non-transitory computer-readable medium of claim 10 , wherein the instructions, when executed, cause the machine to:

determine an area of the face;

determine a first normalized distance based on a square root of the area of the face and the first distance; and

determine a second normalized distance based on the square root of the area of the face and the second distance.

15 . The non-transitory computer-readable medium of claim 10 , wherein the instructions, when executed, cause the machine to track the attentiveness metric of the face over a period of time using centroid tracking.

16 . The non-transitory computer-readable medium of claim 10 , wherein the input image data includes a first image and a second image, the face is a first face detected in the first image, the attentiveness metric is a first attentiveness metric associated with the first face in the first image, the threshold is a first threshold, and the instructions, when executed, cause the machine to:

obtain a first set of bounding box coordinates bounding the first face in the first image and a second set of bounding box coordinates bounding a second face detected in the second image;

determine a first center coordinate of the first set of bounding box coordinates;

assign an object identifier to the first center coordinate;

determine a second center coordinate of the second set of bounding box coordinates;

compare a third distance between the first center coordinate and the second center coordinate to a second threshold to determine whether the second center coordinate is associated with the first center coordinate;

in response to the third distance satisfying the second threshold, assign the object identifier to the second center coordinate to identify the second face as corresponding to the first face; and

determine a second attentiveness metric associated with the second face in the second image.

17 . The non-transitory computer-readable medium of claim 16 , wherein the instructions, when executed, cause the machine to:

in response to the third distance not satisfying the second threshold, assign a unique object identifier to the second center coordinate, the unique object identifier identify the second face is different from the first face; and

determine a third attentiveness metric associated with the second face in the second image.

18 . The non-transitory computer-readable medium of claim 10 , wherein the threshold is indicative of a maximum amount of deviation from a neutral face before the face is identified as distracted.

19 . A method comprising:

identifying, by executing an instruction with programmable circuitry, facial landmarks from input image data, the facial landmarks corresponding to coordinates of landmarks of a face detected in the input image data;

determining, by executing an instruction with the programmable circuitry, a first distance between a first facial landmark of the facial landmarks and a second facial landmark of the facial landmarks;

determining, by executing an instruction with the programmable circuitry, a second distance between the first facial landmark and a third facial landmark of the facial landmarks; and

comparing, by executing an instruction with the programmable circuitry, a quotient of the first distance and the second distance to a threshold to determine an attentiveness metric.

20 . The method of claim 19 , further including:

determining that no facial landmarks were identified;

in response to no facial landmarks being identified, instructing an image capturing device to adjust a configuration of the image capturing device; and

obtaining adjusted input image data from the image capturing device.

21 - 27 . (canceled)