Drowsiness estimation device, drowsiness estimation method, and computer-readable non-transient recording medium
First Claim
1. A drowsiness estimation device detecting a temperature parameter for a drowsiness estimation of a person subject to the drowsiness estimation, and performing the drowsiness estimation, the drowsiness estimation device comprising:
- acquisition circuitry acquiring visible spectrum image data obtained by capturing a plurality of images of the person with visible spectrum wavelengths, and surface body temperature distribution data obtained by measuring a temperature distribution of a body surface of the person;
image processing circuitry specifying an ocular region center for the person by performing image processing on the visible spectrum image data; and
correction circuitry detecting a temperature of the ocular region center in the surface body temperature distribution data for the person, and using the temperature of the ocular region center to apply a correction to the temperature parameter for the drowsiness estimation, whereinthe correction to the temperature parameter is performed by multiplying the temperature parameter by a first weighting coefficient and the temperature of the ocular region center by a second weighting coefficient, and subtracting a weighted temperature of the ocular region center from a weighted temperature parameter.
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Abstract
A drowsiness estimation device comprises an imaging unit 1, a regional temperature calculation unit 6, and a weighted subtraction unit 7. The imaging unit 1 obtains visible spectrum image data in a visible spectrum capture mode and obtains infra-red image data indicating a surface body temperature distribution for a subject'"'"'s body in an infra-red capture mode. The regional temperature calculation unit 6 detects a temperature of an ocular center region within the surface body temperature distribution indicated by the infra-red image data. The weighted subtraction unit 7 applies a correction to a temperature parameter for drowsiness estimation, based on the detected ocular center region temperature. A drowsiness estimation for the user is then performed according to the corrected parameter.
8 Citations
11 Claims
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1. A drowsiness estimation device detecting a temperature parameter for a drowsiness estimation of a person subject to the drowsiness estimation, and performing the drowsiness estimation, the drowsiness estimation device comprising:
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acquisition circuitry acquiring visible spectrum image data obtained by capturing a plurality of images of the person with visible spectrum wavelengths, and surface body temperature distribution data obtained by measuring a temperature distribution of a body surface of the person; image processing circuitry specifying an ocular region center for the person by performing image processing on the visible spectrum image data; and correction circuitry detecting a temperature of the ocular region center in the surface body temperature distribution data for the person, and using the temperature of the ocular region center to apply a correction to the temperature parameter for the drowsiness estimation, wherein the correction to the temperature parameter is performed by multiplying the temperature parameter by a first weighting coefficient and the temperature of the ocular region center by a second weighting coefficient, and subtracting a weighted temperature of the ocular region center from a weighted temperature parameter. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A drowsiness estimation method used by a drowsiness estimation device detecting a temperature parameter for a drowsiness estimation of a person subject to the drowsiness estimation, and performing the drowsiness estimation, the drowsiness estimation method comprising:
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acquiring visible spectrum image data obtained by capturing a plurality of images of the person with visible spectrum wavelengths, and surface body temperature distribution data obtained by measuring a temperature distribution of a body surface of the person; performing image processing on the visible spectrum image data by specifying an ocular region center for the person; and applying a correction to the temperature parameter for the drowsiness estimation by detecting a temperature of the ocular region center in the surface body temperature distribution data for the person, and using the temperature of the ocular region center to apply the correction, wherein the correction to the temperature parameter is performed by multiplying the temperature parameter by a first weighting coefficient and the temperature of the ocular region center by a second weighting coefficient, and subtracting a weighted temperature of the ocular region center from a weighted temperature parameter.
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11. A computer-readable non-transitory recording medium on which one or more program codes are recorded for causing a computer to perform a drowsiness estimation of a person subject to the drowsiness estimation using a temperature parameter, by causing the computer to execute processing of:
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acquiring visible spectrum image data obtained by capturing a plurality of images of the person with visible spectrum wavelengths, and surface body temperature distribution data obtained by measuring a temperature distribution of a body surface of the person; performing image processing on the visible spectrum image data by specifying an ocular region center for the person; and applying a correction to the temperature parameter for the drowsiness estimation by detecting a temperature of the ocular region center in the surface body temperature distribution data for the person, and using the temperature of the ocular region center to apply the correction, wherein the correction to the temperature parameter is performed by multiplying the temperature parameter by a first weighting coefficient and the temperature of the ocular region center by a second weighting coefficient, and subtracting a weighted temperature of the ocular region center from a weighted temperature parameter.
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Specification