Adaptive driver workload estimator
First Claim
Patent Images
1. A method for adaptive driver workload estimation, the method comprising:
- receiving a subjective assessment of a driver workload from a vehicle driver;
collecting a stream of sensor input data from one or more sensors in response to receiving the subjective assessment; and
applying a machine learning algorithm to a driver workload estimate model based on the stream of sensor input data and the subjective assessment, the applying resulting in an updated driver workload estimate model.
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Abstract
A method for adaptive driver workload estimation. A subjective assessment of a driver workload is received from a vehicle driver. A stream of sensor input data is collected from one or more sensors in response to receiving the subjective assessment. A machine learning algorithm is applied to a driver workload estimate model based on the stream of sensor input data and the subjective assessment. The result of the applying is an updated driver workload estimate model.
28 Citations
19 Claims
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1. A method for adaptive driver workload estimation, the method comprising:
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receiving a subjective assessment of a driver workload from a vehicle driver;
collecting a stream of sensor input data from one or more sensors in response to receiving the subjective assessment; and
applying a machine learning algorithm to a driver workload estimate model based on the stream of sensor input data and the subjective assessment, the applying resulting in an updated driver workload estimate model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for adaptive driver workload estimation, the system comprising:
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an input device; and
a microprocessor in communication with the input device, the microprocessor including instructions to facilitate;
receiving a subjective assessment of a driver workload from a vehicle driver via the input device;
collecting a stream of sensor input data from one or more sensors in response to receiving the subjective assessment; and
applying a machine learning algorithm to a driver workload estimate model based on the stream of sensor input data and the subjective assessment, the applying resulting in an updated driver workload estimate model. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A computer program product for adaptive driver workload estimation, the computer program product comprising:
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a storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising;
receiving a subjective assessment of a driver workload from a vehicle driver;
collecting a stream of sensor input data from one or more sensors in response to receiving the subjective assessment; and
applying a machine learning algorithm to a driver workload estimate model based on the stream of sensor input data and the subjective assessment, the applying resulting in an updated driver workload estimate model. - View Dependent Claims (18, 19)
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Specification