Direct observation event triggering of drowsiness
AssigneeLytx, Inc.
InventorSyrus C. Nemat-Nasser
Life of this patent
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Abstract
A system for event triggering comprises an interface and a processor. An interface configured to receive a face tracking data and receive a sensor data. The processor configured to determine a degree of drowsiness based at least in part on the face tracking data and the sensor data; in the event that the degree of drowsiness is greater than a first threshold, capture data; and in the event that the degree of drowsiness is greater than a second threshold, provide a warning.
Claims20
A system for indicating an event, comprising:
- an interface configured to:
- receive a face tracking data for a driver of a vehicle;
- receive a sensor data for the vehicle;
- and
- a processor configured to:
- determine a degree of drowsiness using a first threshold and a second threshold for the driver of the vehicle based at least in part on the face tracking data and the sensor data;
- and
- in the event that the degree of drowsiness is greater than a first threshold, indicate an event pertaining to the driver of the vehicle.
A method for indicating an event, comprising:
- receiving a face tracking data for a driver of a vehicle;
- receiving a sensor data for the vehicle;
- and
- determining, using a processor, a degree of drowsiness using a first threshold and a second threshold for the driver of the vehicle based at least in part on the face tracking data and the sensor data;
- and
- in the event that the degree of drowsiness is greater than a first threshold, indicating an event pertaining to the driver of the vehicle.
A computer program product for indicating an event, the computer program product being embodied in a tangible computer readable storage medium and comprising computer instructions for:
- receiving a face tracking data for a driver of a vehicle;
- receiving a sensor data for the vehicle;
- and
- determining a degree of drowsiness using a first threshold and a second threshold for the driver of the vehicle based at least in part on the face tracking data and the sensor data;
- and
- in the event that the degree of drowsiness is greater than a first threshold, indicating an event pertaining to the driver of the vehicle.
Dependencies are inferred from the claim text.