METHOD AND SYSTEM FOR RECOGNIZING DRIVER IMPAIRMENT
First Claim
1. Method for recognizing and/or detecting impairment and/or inattention of a person by detecting and evaluating head movements of the person on the basis of at least one component, the at least one component being at least one of three head rotation components, pitch, yaw, roll, and three head translation components, each in one of three orthogonal directions, the method comprising the following steps:
- calculating within at least one predetermined time interval an actual density pattern of the at least one component in a form of an actual distribution of numbers of samples of the at least one component between at least one of a normal region and a normal region center point, which includes a peak of the density pattern, and a plurality of pre-set outer normal regions surrounding the at least one of the normal region and normal region center point;
comparing the actual density pattern with a reference density pattern of the at least one component in a form of a reference distribution of samples of the at least one component in the at least one of the normal region and normal region center point; and
evaluating a difference between at least one one of actual and reference patterns and actual and reference distributions and outputting a signal if the difference exceeds a predetermined value.
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Accused Products
Abstract
A method and system for recognizing and/or detecting impairment and/or inattention of a person, especially a driver of a vehicle, and especially caused by drowsiness, distraction and/or workload, is disclosed by detecting and evaluating head movements of the person and/or head movement reactions of the person upon a disturbance exerted onto the vehicle.
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Citations
27 Claims
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1. Method for recognizing and/or detecting impairment and/or inattention of a person by detecting and evaluating head movements of the person on the basis of at least one component, the at least one component being at least one of three head rotation components, pitch, yaw, roll, and three head translation components, each in one of three orthogonal directions, the method comprising the following steps:
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calculating within at least one predetermined time interval an actual density pattern of the at least one component in a form of an actual distribution of numbers of samples of the at least one component between at least one of a normal region and a normal region center point, which includes a peak of the density pattern, and a plurality of pre-set outer normal regions surrounding the at least one of the normal region and normal region center point;
comparing the actual density pattern with a reference density pattern of the at least one component in a form of a reference distribution of samples of the at least one component in the at least one of the normal region and normal region center point; and
evaluating a difference between at least one one of actual and reference patterns and actual and reference distributions and outputting a signal if the difference exceeds a predetermined value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 22, 25, 26, 27)
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10. Method for recognizing and/or detecting impairment and/or inattention of a person who is at least one of actively and reactively connected with an object, wherein the object is at least one of influenced and affected by an external disturbance which causes a head movement reaction of the person, comprising the following steps:
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detecting the disturbance exerted onto the object by external forces;
detecting head movement reaction of the person upon the disturbance based on at least one component, the at least one component being at least one of three head rotation components and three head translation components;
evaluating a difference between the head movement reaction and at least one of a predefined reference head movement reaction and a stored previous head movement reaction upon a previous disturbance; and
outputting a disturbance signal if the difference exceeds a predefined value. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 23)
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21. Method for recognizing and/or detecting impairment and/or inattention of a person based on a workload of the person by detecting and evaluating head movements of the person based on at least one of an amount and the time-dependent derivative of at least one component, the at least one component being at least one of three head rotation components and three head translation components, comprising the following steps:
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calculating a standard deviation and at least one of a root mean square value of the at least one component and a root mean square value of a time dependent derivative of the at least one component over a sliding time interval for producing a continuous quantification of workload, and comparing the quantified workload with at least one threshold and outputting a signal if the difference exceeds the at least one of the threshold. - View Dependent Claims (24)
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Specification