RISK EVALUATION BASED ON VEHICLE OPERATOR BEHAVIOR
First Claim
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1. A computer-implemented method comprising:
- receiving data about vehicle operator behavior via a computer network,wherein the data about vehicle operator behavior is generated by a motion sensing device adapted to monitor movements of a vehicle operator, andwherein the data about vehicle operator behavior is stored on a computer-readable medium;
categorizing, with one or more processors, the data about vehicle operator behavior, wherein categorizing the data about vehicle operator behavior includes clustering the data about vehicle operator behavior into a plurality of groups of data;
determining, with the one or more processors, a level of risk corresponding to at least one of the plurality of groups of data; and
generating, with the one or more processors, a risk index corresponding to the vehicle operator, the risk index being a collective measure of risk based on levels of risk associated with the plurality of groups of data.
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Abstract
A method for ascertaining the risk associated with the driver of a vehicle utilizes three-dimensional (3D) motion sensing data. A server gathers motion sensing data from one or more motion sensing modules and clusters the motion sensing data into movement categories. The server then assigns an indication of risk to at least some of the movement categories and combines the motion sensing data from a plurality of movement categories to generate a collective measure of risk associated with the driver of the vehicle.
35 Citations
21 Claims
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1. A computer-implemented method comprising:
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receiving data about vehicle operator behavior via a computer network, wherein the data about vehicle operator behavior is generated by a motion sensing device adapted to monitor movements of a vehicle operator, and wherein the data about vehicle operator behavior is stored on a computer-readable medium; categorizing, with one or more processors, the data about vehicle operator behavior, wherein categorizing the data about vehicle operator behavior includes clustering the data about vehicle operator behavior into a plurality of groups of data; determining, with the one or more processors, a level of risk corresponding to at least one of the plurality of groups of data; and generating, with the one or more processors, a risk index corresponding to the vehicle operator, the risk index being a collective measure of risk based on levels of risk associated with the plurality of groups of data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer device comprising:
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one or more processors; and one or more memories coupled to the one or more processors; wherein the one or more memories include computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to; receive data about vehicle operator behavior via a computer network, wherein the data about vehicle operator behavior is generated by a motion sensing device adapted to monitor movements of a vehicle operator, and wherein the data about vehicle operator behavior is stored on a computer-readable medium; categorize the data about vehicle operator behavior, wherein categorizing the data about vehicle operator behavior includes clustering the data about vehicle operator behavior into a plurality of groups of data; determine a level of risk corresponding to at least one of the plurality of groups of data; and generate a risk index corresponding to the vehicle operator, the risk index being a collective measure of risk based on levels of risk associated with the plurality of groups of data. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. A computer readable storage medium comprising non-transitory computer readable instructions stored thereon, the instructions, when executed on one or more processors, cause the one or more processors to:
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receive data about vehicle operator behavior via a computer network, wherein the data about vehicle operator behavior is generated by a motion sensing device adapted to monitor movements of a vehicle operator, and wherein the data about vehicle operator behavior is stored on a computer-readable medium; categorize the data about vehicle operator behavior, wherein categorizing the data about vehicle operator behavior includes clustering the data about vehicle operator behavior into a plurality of groups of data; determine a level of risk corresponding to at least one of the plurality of groups of data; and generate a risk index corresponding to the vehicle operator, the risk index being a collective measure of risk based on levels of risk associated with the plurality of groups of data. - View Dependent Claims (21)
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Specification