System and method for controlling vehicle operation based on a user's facial expressions and physical state

• US 20060011399A1
• Filed: 07/15/2004
• Published: 01/19/2006
• Est. Priority Date: 07/15/2004
• Status: Abandoned Application

• Current Assignee: Herman Rodriguez, International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Brockway, Brandon J., Malatras, Cheryl Louise, Durham, Tiffany Brooke, Roberts, Gregory Wayne
• Application Number:
  US10/891,774
• Publication Number:
  US 20060011399A1
• Time in Patent Office: Days
• US Class Current: 180/272
• CPC Class Codes: A61B 5/18 for vehicle drivers or machine operators
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: B60K 28/066 actuating a signalling device B60K28/063 takes precedence
• CPC Class Codes: B60T 17/18 Safety devices; Monitoring

Abstract

A system and method for controlling vehicle operation based on a driver'"'"'s facial expressions and physical state are provided. In particular, a system and method for differentiating between different types of emergency situations and applying an appropriate set of safety operations to ensure the safety of the driver, any other passengers, and others outside the vehicle are provided. With the system and method, facial expression recognition is used to distinguish between different types of emergency situations. For each of these emergency situations, a predetermined set of safety operations may be established. Once a particular emergency situation is detected based on the facial expression recognition, the corresponding set of safety operations are applied by sending appropriate control signals to vehicle control systems to cause the operation of the vehicle to be modified.

Claims

1. A method of automatically controlling an operation of a vehicle, comprising:

receiving facial expression input from an image pickup device, wherein the facial expression input includes images of an operator of the vehicle;

performing facial expression recognition on the facial expression input to identify a particular type of emergency situation from a plurality of possible emergency situations; and

automatically applying a subset of safety operations, from a plurality of safety operations, to a vehicle control module, corresponding to the particular type of emergency situation identified by the facial expression recognition, to thereby control the operation of the vehicle.

2. The method of claim 1, wherein performing facial expression recognition on the facial expression input includes:

obtaining at least one baseline image of the operator;

comparing the facial expression input to the at least one baseline image of the operator;

determining differences between the facial expression input and the at least one baseline image of the operator; and

comparing the differences to operator state profiles to determine a state of the operator and an emergency situation of the vehicle.

3. The method of claim 2, wherein the baseline image is obtained in response to detection of ignition of the vehicle.

4. The method of claim 1, wherein performing facial expression recognition on the facial expression input to identify a particular type of emergency situation from a plurality of possible emergency situations, includes:

determining if the operator is in an incoherent state; and

determining a particular incoherent state of the operator based on differences between the operator'"'"'s facial features in the facial expression input and at least one baseline image of the operator, if the operator is determined to be in an incoherent state.

5. The method of claim 1, wherein the plurality of safety operations include at least one operation for automatically notifying persons exterior to the vehicle, yet in the vicinity of the vehicle, of the emergency situation.

6. The method of claim 1, wherein the plurality of safety operations include at least one operation for automatically attempting to bring the operator out of an incoherent state.

7. The method of claim 1, wherein the plurality of safety operations include at least one operation for automatically notifying remotely located emergency response personnel of the emergency situation.

8. The method of claim 7, wherein the at least one operation for automatically notifying remotely located emergency response personnel of the emergency situation further includes at least one operation for automatically notifying the remotely located emergency response personnel of a location of the vehicle.

9. The method of claim 1, wherein the plurality of safety operations include at least one of automatically steering the vehicle, automatically braking the vehicle, reducing a speed of the vehicle, turning on emergency warning lights on the vehicle, honking a horn on the vehicle, turning on a radio in the vehicle, increasing a volume of the radio in the vehicle, initiating a call to an emergency response service, moving an operator'"'"'s seat in the vehicle,

10. The method of claim 1, wherein the plurality of emergency situations includes at least one of an operator having a stroke, an operator having a seizure, and operator having a heart attack, and an operator having fallen asleep.

11. The method of claim 1, wherein the subset of safety operations for the particular emergency situation identifies an order in which the safety operations within the subset of safety operations are to be performed, and wherein the safety operations, in the subset of safety operations, are applied to the vehicle control module in the order specified by the subset of safety operations.

12. The method of claim 1, wherein the subset of safety operations for the particular emergency situation identifies timing information for timing when the safety operations within the subset of safety operations are to be performed, and wherein the safety operations within the subset of safety operations are applied to the vehicle control module in accordance with the timing information.

13. The method of claim 1, wherein the receiving, performing and automatically applying steps are performed in response to at least one of a measurement of a vehicle operational parameter and a measured operator parameter indicating a need to determine if an emergency situation is present or imminent.

26. The method of claim 1, wherein the means for receiving, means for performing and means for automatically applying operate in response to at least one of a measurement of a vehicle operational parameter and a measured operator parameter indicating a need to determine if an emergency situation is present or imminent.

14. A system for automatically controlling an operation of a vehicle, comprising:

means for receiving facial expression input from an image pickup device, wherein the facial expression input includes images of an operator of the vehicle;

means for performing facial expression recognition on the facial expression input to identify a particular type of emergency situation from a plurality of possible emergency situations; and

means for automatically applying a subset of safety operations, from a plurality of safety operations, to a vehicle control module, corresponding to the particular type of emergency situation identified by the facial expression recognition, to thereby control the operation of the vehicle.

15. The system of claim 14, wherein the means for performing facial expression recognition on the facial expression input includes:

means for obtaining at least one baseline image of the operator;

means for comparing the facial expression input to the at least one baseline image of the operator;

means for determining differences between the facial expression input and the at least one baseline image of the operator; and

means for comparing the differences to operator state profiles to determine a state of the operator and an emergency situation of the vehicle.

16. The system of claim 15, wherein the baseline image is obtained in response to detection of ignition of the vehicle.

17. The system of claim 14, wherein the means for performing facial expression recognition on the facial expression input to identify a particular type of emergency situation from a plurality of possible emergency situations, includes:

means for determining if the operator is in an incoherent state; and

means for determining a particular incoherent state of the operator based on differences between the operator'"'"'s facial features in the facial expression input and at least one baseline image of the operator, if the operator is determined to be in an incoherent state.

18. The system of claim 14, wherein the plurality of safety operations include at least one operation for automatically notifying persons exterior to the vehicle, yet in the vicinity of the vehicle, of the emergency situation.

19. The system of claim 14, wherein the plurality of safety operations include at least one operation for automatically attempting to bring the operator out of an incoherent state.

20. The system of claim 14, wherein the plurality of safety operations include at least one operation for automatically notifying remotely located emergency response personnel of the emergency situation.

21. The system of claim 20, wherein the at least one operation for automatically notifying remotely located emergency response personnel of the emergency situation further includes at least one operation for automatically notifying the remotely located emergency response personnel of a location of the vehicle.

22. The system of claim 14, wherein the plurality of safety operations include at least one of automatically steering the vehicle, automatically braking the vehicle, reducing a speed of the vehicle, turning on emergency warning lights on the vehicle, honking a horn on the vehicle, turning on a radio in the vehicle, increasing a volume of the radio in the vehicle, initiating a call to an emergency response service, moving an operator'"'"'s seat in the vehicle,

23. The system of claim 14, wherein the plurality of emergency situations includes at least one of an operator having a stroke, an operator having a seizure, and operator having a heart attack, and an operator having fallen asleep.

24. The system of claim 14, wherein the subset of safety operations for the particular emergency situation identifies an order in which the safety operations within the subset of safety operations are to be performed, and wherein the means for applying the subset of safety operations applies the safety operations to the vehicle control module in the order specified by the subset of safety operations.

25. The system of claim 14, wherein the subset of safety operations for the particular emergency situation identifies timing information for timing when the safety operations within the subset of safety operations are to be performed, and wherein the means for applying the subset of safety operations applies safety operations within the subset of safety operations to the vehicle control module in accordance with the timing information.

27. A computer program product in a computer readable medium for automatically controlling an operation of a vehicle, comprising:

first instructions for receiving facial expression input from an image pickup device, wherein the facial expression input includes images of an operator of the vehicle;

second instructions for performing facial expression recognition on the facial expression input to identify a particular type of emergency situation from a plurality of possible emergency situations; and

third instructions for automatically applying a subset of safety operations, from a plurality of safety operations, to a vehicle control module, corresponding to the particular type of emergency situation identified by the facial expression recognition, to thereby control the operation of the vehicle.