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:
- an acquisition unit 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;
an image processing unit specifying an ocular region centre for the person by performing image processing on the visible spectrum image data; and
a correction unit detecting a temperature of the ocular region centre in the surface body temperature distribution data for the person, and using the temperature of the ocular region centre to apply a correction to the temperature parameter for the drowsiness estimation.
2 Assignments
0 Petitions
Accused Products
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 centre 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 centre region temperature. A drowsiness estimation for the user is then performed according to the corrected parameter.
-
Citations
12 Claims
-
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:
-
an acquisition unit 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; an image processing unit specifying an ocular region centre for the person by performing image processing on the visible spectrum image data; and a correction unit detecting a temperature of the ocular region centre in the surface body temperature distribution data for the person, and using the temperature of the ocular region centre to apply a correction to the temperature parameter for the drowsiness estimation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
-
-
11. 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:
-
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 centre for the person; and applying a correction to the temperature parameter for the drowsiness estimation by detecting a temperature of the ocular region centre in the surface body temperature distribution data for the person, and using the temperature of the ocular region centre to apply the correction.
-
-
12. 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:
-
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 centre for the person; and applying a correction to the temperature parameter for the drowsiness estimation by detecting a temperature of the ocular region centre in the surface body temperature distribution data for the person, and using the temperature of the ocular region centre to apply the correction.
-
Specification