Method for classification of eye closures
First Claim
1. A method for improving the reliability of a portion of physiological data from an image sensor monitoring an operator positioned in an operator compartment of a vehicle, the method comprising:
- receiving, from the image sensor, physiological data comprising information relating to at least one of eye, face, head, arms and body motion of the operator;
identifying an indication of at least one of an eyelid closure, eye movement and head movement of the operator based on the physiological data;
comparing at least one of the physiological data and a lighting condition within the operator compartment with a set of rules for a current operator status; and
classifying a type of at least one of eyelid closure, eye movement and head movement by correlating the identified indication of the at least one of eyelid closure, eye movement and head movement and a result of the comparison.
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Accused Products
Abstract
The present invention generally relates to a method for improving the reliability of a portion of physiological data from an image sensor monitoring an operator positioned in an operator compartment of a vehicle. An embodiment of the method includes receiving, from the image sensor, physiological data including information relating to at least one of eye, face, head, arms and body motion of the operator, identifying an indication of at least an eyelid closure, eye movement or head movement of the operator based on the physiological data; comparing at least one of the physiological data and a lighting condition within the operator compartment with a set of rules for a current operator status; and classifying the type of eyelid closure, eye movement and/or head movement by correlating the identified eyelid closure, eye movement and/or head movement and a result of the comparison.
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Citations
12 Claims
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1. A method for improving the reliability of a portion of physiological data from an image sensor monitoring an operator positioned in an operator compartment of a vehicle, the method comprising:
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receiving, from the image sensor, physiological data comprising information relating to at least one of eye, face, head, arms and body motion of the operator; identifying an indication of at least one of an eyelid closure, eye movement and head movement of the operator based on the physiological data; comparing at least one of the physiological data and a lighting condition within the operator compartment with a set of rules for a current operator status; and classifying a type of at least one of eyelid closure, eye movement and head movement by correlating the identified indication of the at least one of eyelid closure, eye movement and head movement and a result of the comparison. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A control system for improving the reliability of a portion of physiological data from an image sensor monitoring an operator positioned in an operator compartment of a vehicle, the control device comprising a control unit configured to:
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receive, from the image sensor, physiological data comprising information relating to at least one of eye, face, head, arms and body motion of the operator; identify an indication of at least one of an eyelid closure, eye movement, and head movement of the operator based on the physiological data; compare at least one of the physiological data and a lighting condition within the operator compartment with a set of rules for a current operator status; and classify the type of at least one of eyelid closure, eye movement and head movement by correlating the identified at least one of eyelid closure, eye movement and head movement and a result of the comparison. - View Dependent Claims (9, 10, 11)
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12. A non-transitory computer readable medium embodying a computer program product for improving the reliability of a portion of physiological data from an image sensor monitoring an operator positioned in an operator compartment of a vehicle, the computer program product comprising code configured to, when executed by a processor:
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receive, from the image sensor, physiological data comprising information relating to at least one of eye, face, head, arms and body motion of the operator; identify an indication of at least one of an eyelid closure, eye movement and head movement of the operator based on the physiological data; compare at least one of the physiological data and a lighting condition within the operator compartment with a set of rules for a current operator status; and classify the type of at least one of eyelid closure, eye movement and head movement by correlating the identified at least one of eyelid closure, eye movement and head movement and a result of the comparison.
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Specification