IP Library Granted Patent US 8,356,899
Granted Patent B2
US 8,356,899 · App. 13/050,811 · Granted Jan 22, 2013

Sleepiness signal detector

Inventor: Yutaka Hirata (Aichi, JP)
Assignee: Chubu University Educational Foundation
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Quick Facts
Patent No.
US 8,356,899
App. No.
13/050,811
Granted
Jan 22, 2013
Kind
B2
Abstract

A sleepiness sign detection apparatus, includes: a head movement detection unit configured to detect a head movement to generate a head movement data; an eye movement detection unit configured to detect an eye movement to generate an eye movement data; an ideal eye movement angular velocity calculation unit configured to calculate an ideal eye movement angular velocity based on the head movement data generated by the head movement detection unit; an eye-rotation angular velocity calculation unit configured to calculate an eye-rotation angular velocity based on the eye movement data generated by the eye movement detection unit; and a sleepiness sign detection unit configured to detect vestibule-ocular reflex (VOR) from the ideal eye movement angular velocity and the eye-rotation angular velocity, and determine a sign of sleepiness based on the vestibule-ocular reflex.

Claims (36)

1. A sleepiness sign detection apparatus, comprising:

a head movement detection unit configured to detect a head movement to generate a head movement data;

an eye movement detection unit configured to detect an eye movement to generate an eye movement data;

an ideal eye movement angular velocity calculation unit configured to calculate an ideal eye movement angular velocity based on the head movement data generated by the head movement detection unit;

an eye-rotation angular velocity calculation unit configured to calculate an eye-rotation angular velocity based on the eye movement data generated by the eye movement detection unit; and

a sleepiness sign detection unit configured to detect vestibule-ocular reflex (VOR) from the ideal eye movement angular velocity and the eye-rotation angular velocity, and determine a sign of sleepiness based on the vestibule-ocular reflex.

2. The sleepiness sign detection apparatus according to claim 1 , wherein

the sleepiness sign detection unit

calculates a VOR gain defined by G and a decrease rate of the VOR gain, the G obtained by approximating the eye-rotation angular velocity by a linear equation of the ideal eye movement angular velocity:

e ( t )= G·h ( t −τ)+ dc +ε( t ),

where e(t) represents eye-rotation angular velocity; G represents VOR gain; h(t) represents ideal eye movement angular velocity; τ represents delay time of eye movement with respect to head movement; dc represents constant term; and ε(t) represents residual of regression model, and

determines a sign of sleepiness, when the decrease rate of the VOR gain exceeds a threshold value set in advance.

3. The sleepiness sign detection apparatus according to claim 1 , wherein

the sleepiness sign detection unit

calculates an approximation residual defined by ε(t) and a residual standard deviation, the ε(t) obtained by approximating the eye-rotation angular velocity by a linear equation of the ideal eye movement angular velocity:

e ( t )= G·h ( t −τ)+ dc +ε( t ),

where e(t) represents eye-rotation angular velocity; G represents VOR gain; h(t) represents ideal eye movement angular velocity; τ represents delay time of eye movement with respect to head movement; dc represents constant term; and ε(t) represents residual of regression model, and

determines a sign of sleepiness, when an increase rate of the residual standard deviation exceeds a threshold value set in advance.

4. The sleepiness sign detection apparatus according to claim 2 , wherein

the sleepiness sign detection unit

calculates an approximation residual defined by ε(t) and a residual standard deviation, the ε(t) obtained by approximating the eye-rotation angular velocity by a linear equation of the ideal eye movement angular velocity:

e ( t )= G·h ( t −τ)+ dc+ε ( t ),

where e(t) represents eye-rotation angular velocity; G represents VOR gain; h(t) represents ideal eye movement angular velocity; τ represents delay time of eye movement with respect to head movement; dc represents constant term; and ε(t) represents residual of regression model, and

determines a sign of sleepiness, when an increase rate of the residual standard deviation exceeds a threshold value set in advance.

5. The sleepiness sign detection apparatus according to claim 1 , wherein

the sleepiness sign detection apparatus is a sleepiness detection apparatus installed in a vehicle, and

the ideal eye movement angular velocity is calculated on the basis of outputs of an acceleration sensor and a gyro sensor provided in the vehicle as the head movement detection unit.

6. The sleepiness sign detection apparatus according to claim 2 , wherein

the sleepiness sign detection apparatus is a sleepiness detection apparatus installed in a vehicle, and

the ideal eye movement angular velocity is calculated on the basis of outputs of an acceleration sensor and a gyro sensor provided in the vehicle as the head movement detection unit.

7. The sleepiness sign detection apparatus according to claim 3 , wherein

the sleepiness sign detection apparatus is a sleepiness detection apparatus installed in a vehicle, and

the ideal eye movement angular velocity is calculated on the basis of outputs of an acceleration sensor and a gyro sensor provided in the vehicle as the head movement detection unit.

8. The sleepiness sign detection apparatus according to claim 4 , wherein

the sleepiness sign detection apparatus is a sleepiness detection apparatus installed in a vehicle, and

the ideal eye movement angular velocity is calculated on the basis of outputs of an acceleration sensor and a gyro sensor provided in the vehicle as the head movement detection unit.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 19, 2011
From: HIRATA, YUTAKA
To: CHUBU UNIVERSITY EDUCATIONAL FOUNDATION
Reel/Frame 026311/0581 →
Priority Claims (1)
JP 2008-238931 · Sep 18, 2008 · national
Continuity (2)
Continuation PCTJP2009004572 · Sep 14, 2009
Related Publication 20120069301A1 · Mar 22, 2012