Abstract: An emotion estimation device includes: an emotion estimation unit estimating a user emotion as an emotion associated with an index value of a facial expression of a user between (i.e., involving/during a period having) a plurality of consecutive events, based on a correspondence between (A) the index value which is at least one of (i) a facial expression score of (i.e., representing) the facial expression of the user and (ii) a feature amount about a change of such facial expression score and (B) the facial expression of the user correlated with the plurality of consecutive events.

Abstract: An emotion estimation device includes: an emotion estimation unit estimating a user emotion as an emotion associated with an index value of a facial expression of a user between (i.e., involving/during a period having) a plurality of consecutive events, based on a correspondence between (A) the index value which is at least one of (i) a facial expression score of (i.e., representing) the facial expression of the user and (ii) a feature amount about a change of such facial expression score and (B) the facial expression of the user correlated with the plurality of consecutive events.

Abstract: A driver condition detection device for a vehicle includes: a physical information acquisition unit that acquires physical information of a driver; a standard setting unit that sets, as a standard range, the physical information in a case where the driver is in an operable state for driving the vehicle; a correspondence relationship accumulation unit that accumulates a correspondence relationship between a deviation of the physical information from the standard range and a time interval to return to the standard range; a recovery time estimation unit that estimates a recovery time to return to the standard range from the physical information acquired by the physical information acquisition unit, based on the correspondence relationship; and a determination unit that determines that the driver is in an inoperable state for driving the vehicle when the recovery time is more than a predetermined allowance time.

Abstract: An apparatus detecting driving incapability state of a driver includes: a head detection portion that detects a head of the driver based on an image of a driver's seat captured by an imaging device mounted on a vehicle; and a shake detection portion that detects the driver is incapable of driving when an amplitude of a shake of the head detected by the head detection portion is smaller than a first amplitude or larger than a second amplitude, which is larger than the first amplitude, before a shake determination time elapses after external force has been applied to the vehicle during travel of the vehicle.

Abstract: An apparatus detecting driving incapability state of a driver includes: a head detection portion that detects a head of the driver based on an image of a driver's seat captured by an imaging device mounted on a vehicle; and a shake detection portion that detects the driver is incapable of driving when an amplitude of a shake of the head detected by the head detection portion is smaller than a first amplitude or larger than a second amplitude, which is larger than the first amplitude, before a shake determination time elapses after external force has been applied to the vehicle during travel of the vehicle.

Abstract: Provided is at least two of a direction determination unit which determines that the state is abnormal when a gaze direction of a driver of a vehicle is not within a first predetermined range based on a captured image of a head of the driver, a height determination unit which determines that the state is abnormal when a height of an eye of the driver is not within a second predetermined range based on the captured image, and a position determination unit which determines that the state is abnormal when a position of the head in a lateral direction is not within a third predetermined range based on the captured image; and an abnormal state determination unit which determines whether the state of the driver is abnormal based on the determination results of the determination units.

Abstract: A driver condition detection device for a vehicle includes: a physical information acquisition unit that acquires physical information of a driver; a standard setting unit that sets, as a standard range, the physical information in a case where the driver is in an operable state for driving the vehicle; a correspondence relationship accumulation unit that accumulates a correspondence relationship between a deviation of the physical information from the standard range and a time interval to return to the standard range; a recovery time estimation unit that estimates a recovery time to return to the standard range from the physical information acquired by the physical information acquisition unit, based on the correspondence relationship; and a determination unit that determines that the driver is in an inoperable state for driving the vehicle when the recovery time is more than a predetermined allowance time.

Abstract: An apparatus detecting driving incapability state of a driver includes: a head detection portion that detects a head of the driver based on an image of a driver's seat captured by an imaging device mounted on a vehicle; and a shake detection portion that detects the driver is incapable of driving when an amplitude of a shake of the head detected by the head detection portion is smaller than a first amplitude or larger than a second amplitude, which is larger than the first amplitude, before a shake determination time elapses after external force has been applied to the vehicle during travel of the vehicle.

Abstract: Provided is at least two of a direction determination unit which determines that the state is abnormal when a gaze direction of a driver of a vehicle is not within a first predetermined range based on a captured image of a head of the driver, a height determination unit which determines that the state is abnormal when a height of an eye of the driver is not within a second predetermined range based on the captured image, and a position determination unit which determines that the state is abnormal when a position of the head in a lateral direction is not within a third predetermined range based on the captured image; and an abnormal state determination unit which determines whether the state of the driver is abnormal based on the determination results of the determination units.

Abstract: An apparatus detecting driving incapability state of a driver includes: a head detection portion that detects a head of the driver based on an image of a driver's seat captured by an imaging device mounted on a vehicle; and a shake detection portion that detects the driver is incapable of driving when an amplitude of a shake of the head detected by the head detection portion is smaller than a first amplitude or larger than a second amplitude, which is larger than the first amplitude, before a shake determination time elapses after external force has been applied to the vehicle during travel of the vehicle.

Abstract: According to the present disclosure, a state estimation device estimating a state of a monitoring target based on an involuntary eye movement of an eyeball of the monitoring target is provided. The state estimation device in the present disclosure includes a microsaccade information acquisition portion obtaining microsaccade information that includes a state of variation of a gaze angle when a microsaccade of the involuntary eye movement occurs, and a state estimation portion estimating the state of the monitoring target based on the microsaccade information.

Abstract: A control method for a vehicle includes: predicting a position of an eye point of an occupant after a state of a vehicle seat is changed based on amount of adjustment of an adjusting mechanism due to change in state of the vehicle seat; determining whether or not the predicted position of the eye point is located within a measurement range of a camera member installed to a steering member; and if it is determined that the predicted position of the eye point is not located within the measurement range of the camera member, moving the measurement range of the camera member toward the predicted position of the eye point synchronously with the steering member.

Abstract: A control method for a vehicle includes: predicting a position of an eye point of an occupant after a state of a vehicle seat is changed, based on amount of adjustment of an adjusting mechanism due to change in state of the vehicle seat; determining whether or not a display light reflected on a wind shield is passing through a predicted position of the eye point; and if it is determined that the display light reflected on the wind shield is not passing through the predicted position of the eye point, automatically operating a head-up display system or the adjusting mechanism so as to move one of a traveling path of the display light reflected on the wind shield and the eye point of the occupant toward the other.

Abstract: A control method for a vehicle includes: predicting a position of an eye point of an occupant after a state of a vehicle seat is changed based on amount of adjustment of an adjusting mechanism due to change in state of the vehicle seat; determining whether or not the predicted position of the eye point is located within a measurement range of a camera member installed to a steering member; and if it is determined that the predicted position of the eye point is not located within the measurement range of the camera member, moving the measurement range of the camera member toward the predicted position of the eye point synchronously with the steering member.

Abstract: According to the present disclosure, a state estimation device estimating a state of a monitoring target based on an involuntary eye movement of an eyeball of the monitoring target is provided. The state estimation device in the present disclosure includes a microsaccade information acquisition portion obtaining microsaccade information that includes a state of variation of a gaze angle when a microsaccade of the involuntary eye movement occurs, and a state estimation portion estimating the state of the monitoring target based on the microsaccade information.