OCCUPANT RECOGNITION AND VERIFICATION SYSTEM

• US 20120053793A1
• Filed: 08/25/2010
• Published: 03/01/2012
• Est. Priority Date: 08/25/2010
• Status: Active Grant

• Current Assignee: General Motors LLC (General Motors Company), GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: General Motors LLC (General Motors Company), GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Inventors: Sala, Dorel M., Wang, Jenne-Tai, Neal, Mark O., Tengler, Steven C., Swanson, Steven
• Granted Patent: US 9,511,683 B2
• Time in Patent Office: Days
• US Class Current: 701/45
• CPC Class Codes: B60N 2/002 Seats provided with an occupancy detection means mounted therein or thereon detection means responsive to presence or absence of children B60N2/266
• CPC Class Codes: B60N 2/0244 with logic circuits

Abstract

A method and system for recognizing and verifying the identity of a driver and front seat passenger of a vehicle. A vehicle owner uploads profile data for several individuals who may be a driver or passenger to a database in the vehicle. When a driver or passenger enters the vehicle, the system uses the profile data—which can include height, weight, and gender information about the individual—along with vehicle data such as seat position, to identify the driver or passenger from the database. The profile data for the known individual is then used to adjust the position of the seat and other components in the cockpit. The profile data is also used by various safety and convenience systems onboard the vehicle.

Claims

1. A method for recognizing and verifying an identity of one or more occupants of a vehicle, said method comprising:

providing profile data for a plurality of individuals;

loading the profile data for the plurality of individuals into a database onboard the vehicle;

entering the vehicle by the one or more occupants of the vehicle;

recognizing an identity of the one or more occupants of the vehicle;

starting a timer and retrieving the profile data from the database for the one or more occupants of the vehicle who were recognized;

calculating theoretical cockpit configuration parameters based on the profile data for each of the recognized occupants;

adjusting cockpit configuration by each of the recognized occupants;

determining actual cockpit configuration parameters after a certain time has elapsed since the timer was started for each of the recognized occupants;

comparing the actual cockpit configuration parameters with expected cockpit configuration parameters for each of the recognized occupants using a mathematical similarity function; and

verifying the identity of each of the recognized occupants by computing the difference between the value of the mathematical similarity function and a predefined threshold, and enabling personalization features if the value of the difference meets a predefined criteria.

2. The method of claim 1 wherein providing profile data for a plurality of individuals includes providing one or more attributes about each of the individuals, where the attributes include standing height, sitting height, weight, age, gender, and preferred settings.

3. The method of claim 1 wherein loading the profile data for the plurality of individuals into a database onboard the vehicle includes wirelessly downloading the profile data from a telematics service to which the profile data had previously been uploaded.

4. The method of claim 1 wherein recognizing an identity of the one or more occupants of the vehicle includes one or more of;

pushing a memory recall button, selecting a name of a specific individual from a display device, detecting a remote keyless entry device or personal mobile phone associated with a specific individual, measuring occupant height and weight data, and sensing occupant biometric features including fingerprints, voice characteristics, and facial characteristics.

5. The method of claim 1 wherein calculating theoretical cockpit configuration parameters based on the profile data for each of the recognized occupants includes using an anthropometric model and inverse kinematic calculations.

6. The method of claim 1 wherein comparing the actual cockpit configuration parameters with expected cockpit configuration parameters includes using a mathematical similarity function which includes a term for each configuration parameter being compared, and each of the terms is a function of the difference between the configuration parameters being compared.

7. The method of claim 6 wherein each of the terms of the mathematical similarity function includes a weighting factor, where the weighting factors are larger for parameters with higher discriminating power between the individuals.

8. The method of claim 1 wherein enabling personalization features includes adjusting features of the cockpit for optimum comfort and convenience of each of the recognized occupants.

9. The method of claim 1 wherein enabling personalization features includes adjusting safety systems onboard the vehicle for optimum safety of each of the recognized occupants.

10. The method of claim 1 wherein the one or more occupants of the vehicle includes a driver and a front seat passenger.

11. A method for recognizing and verifying an identity of a driver of a vehicle, said method comprising:

providing profile data for a plurality of individuals including the driver of the vehicle;

loading the profile data for the plurality of individuals into a database onboard the vehicle;

activating a remote keyless entry device by the driver to gain entry to the vehicle;

starting a timer and retrieving the profile data from the database for the driver who is associated with the remote keyless entry device which was activated;

calculating theoretical cockpit configuration parameters based on the profile data for the driver using an anthropometric model and inverse kinematic calculations;

automatically pre-adjusting cockpit configuration by the vehicle using a set of expected cockpit configuration parameters;

entering the vehicle and adjusting the cockpit configuration by the driver;

determining actual cockpit configuration parameters after a certain time has elapsed since the timer was started;

comparing the actual cockpit configuration parameters with the expected cockpit configuration parameters using a mathematical similarity function; and

verifying the identity of the driver by computing the difference between the value of the mathematical similarity function and a predefined threshold, and enabling personalization features if the difference is positive, or disabling personalization features if the difference is negative.

12. The method of claim 11 wherein automatically pre-adjusting cockpit configuration by the vehicle using a set of expected cockpit configuration parameters includes defining the expected cockpit configuration parameters based on preferred settings if available for the driver, or defining the expected cockpit configuration parameters based on the theoretical cockpit configuration parameters which were calculated for the driver.

13. The method of claim 11 wherein comparing the actual cockpit configuration parameters with the expected cockpit configuration parameters using a mathematical similarity function includes using a mathematical similarity function which includes a term for each configuration parameter being compared, and each of the terms is a function of the difference between the configuration parameters being compared.

14. The method of claim 11 wherein enabling personalization features includes adjusting the cockpit configuration for optimum comfort and convenience of the driver, and adjusting safety systems onboard the vehicle for optimum safety of the driver.

15. A system for recognizing and verifying an identity of one or more occupants of a vehicle, said system comprising:

a plurality of convenience control modules for controlling positions of cockpit components and sub-systems;

a plurality of safety control modules for controlling configurations of safety systems;

a master safety system controller in communication with the plurality of safety control modules, said master safety system controller configured to adjust settings of the plurality of safety control modules to optimize safety based on the identity of the occupants of the vehicle;

a wireless module in communication with the master safety system controller and the plurality of convenience control modules, said wireless module wirelessly communicating with a telematics service provider; and

an identification and adjustment software sub-system responsive to one or more inputs from the plurality of convenience control modules, said identification and adjustment software sub-system being configured with and operating an algorithm that recognizes and verifies the identity of the one or more occupants of the vehicle, adjusts the positions of the cockpit components and sub-systems to optimize comfort of the occupants, and communicates the identity of the occupants of the vehicle to the master safety system controller.

16. The system of claim 15 wherein the plurality of convenience control modules includes a driver seat module, a driver door module, a passenger seat module, and a passenger door module.

17. The system of claim 16 wherein the identification and adjustment software sub-system resides in the driver seat module and the passenger seat module.

18. The system of claim 15 wherein the plurality of safety control modules includes one or more airbag modules and one or more seat belt modules.

19. The system of claim 15 wherein the identification and adjustment software sub-system resides in the wireless module.

20. The system of claim 15 wherein the one or more inputs include a remote keyless entry device identifier, a seat cushion load value, a fore-aft seat position, a vertical seat position, a seat back recline angle, and voice pattern data.