Human monitoring system incorporating calibration methodology
Method for monitoring eyelid opening values. In one embodiment video image data is acquired with a camera which data are representative of a person engaged in an activity, where the activity may be driving a vehicle, operating industrial equipment, or performing a monitoring or control function. When the person's head undergoes a change in yaw angle, such that eyelids of both eyes of the person are captured with the camera, but one eye is closer to the camera than the other eye, a weighting factor is applied, which factor varies as a function of the yaw angle such that a value representative of eyelid opening data based on both eyes is calculated.
1. A method for monitoring eyelid opening values by acquiring video image data with a camera which data are representative of a person engaged in an activity, where the activity may be driving a vehicle, operating industrial equipment, or performing a monitoring or control function, comprising:
detecting that the person's head undergoes a change in yaw angle, such that eyelids of both eyes of the person are captured with the camera, but one eye is closer to the camera than the other eye, and
applying a weighting factor which varies as a function of the yaw angle such that a value representative of eyelid opening data based on both eyes is calculated as: w(LEOD)+(1−w)(REOD), where:
LEOD is the measured left eyelid opening distance and REOD is the measured right eyelid opening distance; and
where the weight, w, varies from zero to one and changes proportionally to the change in head yaw angle.
2. The method of claim 1 where the weight, w, varies from zero to one and changes proportionally to the change in head yaw angle between a preselected range of angles [−ϕ, +ϕ)].
3. The method of claim 2 where the preselected range extends between ϕ=−15° to ϕ=15°.
4. The method of claim 2 where the preselected range extends between ϕ=−30° to ϕ=30°.
5. The method of claim 2 where w=(0.5)(θ+30)/30 where θ is the yaw angle.
6. The method of claim 2 where
when the person is looking straight ahead the yaw angle θ=0°;
with w ranging between zero and one, when ϕ=30°, and the head turned a yaw angle of 24 degrees to the driver's right, so that the right eye is barely visible to the lens: the LEOD is assigned a weight factor of 0.9, and the REOD is assigned a weight factor of 0.1.
7. The method of claim 1 where a baseline eyelid opening (BEO) value is corrected when the head of the driver undergoes a change in pitch angle.
8. A system comprising a data processing block configured to perform operations to monitor eyelid opening values by acquiring video image data with a camera, wherein the video image data are representative of a person engaged in an activity, the operations comprising:
detecting that the person's head undergoes a change in yaw angle, such that eyelids of both eyes of the person are captured with the camera, but one eye is closer to the camera than the other eye, and
applying a weighting factor which varies as a function of the yaw angle such that a value representative of eyelid opening data based on both eyes is calculated as: w(LEOD)+(1−w)(REOD), where:
LEOD is the measured left eyelid opening distance and REOD is the measured right eyelid opening distance; and
where the weight, w, varies from zero to one and changes proportionally to the change in head yaw angle.
9. The system of claim 8 where the weight, w, varies from zero to one and changes proportionally to the change in head yaw angle between a preselected range of angles [−ϕ, +ϕ].
10. The system of claim 9 where the preselected range extends between ϕ=−15° to ϕ=15°.
11. The system of claim 9 where the preselected range extends between ϕ=−30° to ϕ=30°.
12. The system of claim 9 where w=(0.5)(θ+30)/30 where θ is the yaw angle.
13. The system of claim 9 where
when the person is looking straight ahead the yaw angle θ=0°;
with w ranging between zero and one, when ϕ=30°, and the head turned a yaw angle of 24 degrees to the driver's right, so that the right eye is barely visible to the lens: the LEOD is assigned a weight factor of 0.9, and the REOD is assigned a weight factor of 0.1.
14. The system of claim 8 where a baseline eyelid opening (BEO) value is corrected when the head of the driver undergoes a change in pitch angle.
15. The system of claim 8 , further comprising
a frame grabber configured to format image frames received from the camera and to provide the image frames to the data processing block.
16. The system of claim 15 , further comprising:
the camera.
17. The system of claim 16 , further comprising:
a near-infrared light (NIR) source configured to illuminate the person's face.
18. The system of claim 17 , further comprising:
the camera.
19. The system of claim 8 , further comprising:
a graphics memory; and
a frame grabber configured to format image frames received from the camera and to provide the image frames to the data processing block via the graphics memory.
20. The system of claim 19 , further comprising:
a near-infrared light (NIR) source configured to illuminate the person's face.