Systems, methods, and apparatus for identifying an occupant of a vehicle
First Claim
1. A method comprising executing computer-executable instructions by one or more processors for identifying an occupant of a vehicle, the method further comprising:
- receiving a primary identification (ID) input and one or more secondary ID inputs, wherein the primary ID input comprises identification token information;
retrieving cluster information based at least on the primary ID input;
comparing the one or more secondary ID inputs with the cluster information;
determining one or more average values associated with the one or more secondary ID inputs;
identifying the occupant based at least in part on the one or more average values falling within one or more predetermined ranges associated with the one or more secondary ID inputs;
determining a confidence value associated with the identification of the occupant based at least in part on the comparison of the one or more secondary ID inputs with the cluster information;
determining one or more vehicle settings based at least in part on the identification of the occupant; and
outputting information based at least in part on the determined confidence value.
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Accused Products
Abstract
Certain embodiments of the invention may include systems, methods, and apparatus for identifying an occupant of a vehicle. According to an example embodiment of the invention, a method is provided for identifying an occupant of a vehicle. The method includes receiving a primary identification (ID) input and one or more secondary ID inputs, wherein the primary ID input comprises identification token information; retrieving cluster information based at least on the primary ID input; comparing the one or more secondary ID inputs with the cluster information; determining a confidence value associated with the identification of the occupant based at least in part on the comparison of the one or more secondary ID inputs with the cluster information; and outputting information based at least in part on the determined confidence value.
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Citations
30 Claims
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1. A method comprising executing computer-executable instructions by one or more processors for identifying an occupant of a vehicle, the method further comprising:
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receiving a primary identification (ID) input and one or more secondary ID inputs, wherein the primary ID input comprises identification token information; retrieving cluster information based at least on the primary ID input; comparing the one or more secondary ID inputs with the cluster information; determining one or more average values associated with the one or more secondary ID inputs; identifying the occupant based at least in part on the one or more average values falling within one or more predetermined ranges associated with the one or more secondary ID inputs; determining a confidence value associated with the identification of the occupant based at least in part on the comparison of the one or more secondary ID inputs with the cluster information; determining one or more vehicle settings based at least in part on the identification of the occupant; and outputting information based at least in part on the determined confidence value. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A vehicle comprising:
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a primary reader for receiving input from a primary identification (ID) device; one or more secondary ID input devices; at least one memory for storing data and computer-executable instructions; and one or more processors configured to access the at least one memory and further configured to execute computer-executable instructions for; receiving a primary identification (ID) input from the primary reader and one or more secondary ID inputs; retrieving cluster information from the at least one memory based at least in part on the primary ID input; comparing the one or more secondary ID inputs with the cluster information; determining one or more average values associated with the one or more secondary ID inputs; identifying an occupant based at least in part on the one or more average values falling within one or more predetermined ranges associated with the one or more secondary ID inputs; determining a confidence value associated with the identification of the occupant of the vehicle based at least in part on the cluster information or on the comparison of the one or more secondary ID inputs with the cluster information; determining one or more vehicle settings based at least in part on the identification of the occupant; and outputting information based at least in part on the determined confidence value. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16)
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17. An apparatus comprising:
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at least one memory for storing data and computer-executable instructions; and one or more processors configured to access the at least one memory and further configured to execute computer-executable instructions for; receiving a primary identification (ID) input and one or more secondary ID inputs; retrieving cluster information from the at least one memory based at least in part on the primary ID input; comparing the one or more secondary ID inputs with the cluster information; determining one or more average values associated with the one or more secondary ID inputs; identifying an occupant based at least in part on the one or more average values falling within one or more predetermined ranges associated with the one or more secondary ID inputs; determining a confidence value associated with the identification of the occupant of a vehicle based at least in part on the cluster information or on the comparison of the one or more secondary ID inputs with the cluster information; determining one or more vehicle settings based at least in part on the identification of the occupant; and outputting information based at least in part on the determined confidence value. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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25. A non-transitory computer program product, comprising a computer-usable medium having a computer-readable program code embodied therein, said computer-readable program code adapted to be executed to implement a method for learning an identity of an occupant of a vehicle, the method further comprising:
- receiving a primary identification (ID) input and one or more secondary ID inputs;
retrieving cluster information based at least on the primary ID input;comparing the one or more secondary ID inputs with the cluster information; determining one or more average values associated with the one or more secondary ID inputs; identifying the occupant based at least in part on the one or more average values falling within one or more predetermined ranges associated with the one or more secondary ID inputs; determining a confidence value associated with the identification of the occupant of a vehicle based at least in part on the cluster information or on the comparison of the one or more secondary ID inputs with the cluster information;
determining one or more vehicle settings based at least in part on the identification of the occupant; and
outputting information based at least in part on the determined confidence value. - View Dependent Claims (26, 27, 28, 29, 30)
- receiving a primary identification (ID) input and one or more secondary ID inputs;
Specification