Apparatuses, systems and methods for generation and transmission of vehicle operation mode data

1. A device comprising one or more processors, and a memory storing computer-readable instructions that, when executed by the one or more processors, cause the one or more processors to:

extract image features from vehicle interior data from at least one vehicle interior sensor, wherein at least a portion of the extracted image features include three-dimensional coordinate locations of at least one joint of the vehicle operator; and

generate data representative of a pattern of behaviors of the vehicle operator based on comparing the extracted image features with previously classified vehicle interior data, wherein the previously classified vehicle interior data is representative of known three-dimensional locations of joints of vehicle operators during known patterns of behavior of vehicle operators, including by comparing the three-dimensional coordinate locations of the at least one joint to the known three-dimensional locations.

2. The device as in claim 1 , wherein the at least one vehicle interior sensor is selected from: at least one digital image sensor, at least one ultra-sonic sensor, or at least one infrared light sensor.

3. The device as in claim 1 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to:

to extract image features from the previously classified vehicle interior data, wherein the extracted image features from the previously classified vehicle interior data are representative of known patterns of behavior of vehicle operators; and

determine a pattern of behaviors of the vehicle operator based on a comparison of the vehicle interior data with the image features extracted from the previously classified vehicle interior data.

4. The device as in claim 1 , wherein the vehicle interior data is representative of a three-dimensional representation of at least one occupant within the vehicle interior.

5. The device as in claim 1 , wherein the image features extracted from the vehicle interior data are representative of a pattern of behaviors of the vehicle operator, wherein the instructions, when executed by the one or more processors, further cause the one or more processors to determine the pattern of behaviors of the vehicle operator based on a comparison of the image features extracted from the vehicle interior data with the previously classified vehicle interior data.

6. The device as in claim 1 , wherein the current image data includes images and/or extracted image features that are representative of a vehicle occupant using a cellular telephone, a vehicle occupant looking out a vehicle side window, a vehicle occupant adjusting a vehicle radio, a vehicle occupant adjusting a vehicle heating, ventilation and air conditioning system, two vehicle occupants talking with one-another, a vehicle occupant reading a book or magazine, a vehicle occupant putting on makeup, or a vehicle occupant looking at themselves in a mirror.

7. The device as in claim 1 , wherein the previously classified image data includes images and/or extracted image features that have previously been classified as being representative of a vehicle occupant using a cellular telephone, a vehicle occupant looking out a vehicle side window, a vehicle occupant adjusting a vehicle radio, a vehicle occupant adjusting a vehicle heating, ventilation and air conditioning system, two vehicle occupants talking with one-another, a vehicle occupant reading a book or magazine, a vehicle occupant putting on makeup, or a vehicle occupant looking at themselves in a mirror.

8. A computer-implemented method, comprising:

extracting, by one or more processors, image features from vehicle interior data from at least one vehicle interior sensor, wherein at least a portion of the extracted image features include three-dimensional coordinate locations of at least one joint of the vehicle operator;

generating, by one or more processors, data representative of a pattern of behaviors based on comparing the extracted features with previously classified vehicle interior data wherein the previously classified vehicle interior data is further representative of known three-dimensional locations of joints of vehicle operators during known patterns of behavior of vehicle operators, including by comparing the three-dimensional coordinate locations of the at least one joint to the known three-dimensional locations.

9. The method as in claim 8 , wherein the at least one vehicle interior sensor is selected from: at least one digital image sensor, at least one ultra-sonic sensor, or least one infrared light sensor.

10. The method as in claim 8 , further comprising:

extracting, by one or more processors, image features from previously classified vehicle interior data, wherein the extracted image features from the previously classified vehicle interior data are representative of known patterns of behavior of vehicle operators; and

determining, by one or more processors, a pattern of behaviors of the vehicle operator based on a comparison of the vehicle interior data with the image features extracted from the previously classified vehicle interior data.

11. The method as in claim 8 , wherein the vehicle interior data is representative of a three-dimensional representation of at least one occupant within the vehicle interior.

12. The method as in claim 8 , wherein the image features extracted from the vehicle interior data are representative of a vehicle operation mode, the method further comprising determining, by one or more processors, a pattern of behaviors of a vehicle operator based on a comparison of the image features extracted from the vehicle interior data with the previously classified vehicle interior data.

13. The method as in claim 8 , wherein the vehicle interior data includes images and/or extracted image features that are representative of vehicle occupant locations/orientations, cellular telephone locations/orientations, vehicle occupant eye locations/orientations, vehicle occupant head location/orientation, vehicle occupant hand location/orientation, a vehicle occupant torso location/orientation, a seat belt location, or a vehicle seat location/orientation.

14. The method as in claim 8 , wherein the previously classified image data includes images and/or extracted image features that have previously been classified as being representative of known vehicle occupant locations/orientations, known cellular telephone locations/orientations, known vehicle occupant eye locations/orientations, known vehicle occupant head location/orientation, known vehicle occupant hand location/orientation, a known vehicle occupant torso location/orientation, a known seat belt location, or a known vehicle seat location/orientation.

15. A non-transitory computer-readable medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to:

extract image features from the vehicle interior data from at least one vehicle interior sensor, wherein at least a portion of the extracted image features include three-dimensional coordinate locations of at least one joint of the vehicle operator; and

generate data representative of a pattern of behaviors based on comparing the extracted image features with previously classified vehicle interior data, wherein the previously classified vehicle interior data is representative of known three-dimensional locations of joints of vehicle operators during known patterns of behavior of vehicle operators, including by comparing the three-dimensional coordinate locations of the at least one joint to the known three-dimensional locations.

16. The non-transitory computer-readable medium as in claim 15 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to:

extract image features from the previously classified vehicle interior data, wherein the extracted image features from the previously classified vehicle interior data are representative of known patterns of behavior of vehicle operators; and

determine at least one vehicle occupant posture based on a comparison of the vehicle interior data with the image features extracted from the previously classified vehicle interior data.

17. The non-transitory computer-readable medium as in claim 15 , wherein the image features extracted from the vehicle interior data are representative of a pattern of behaviors of the vehicle operator, and wherein the instructions, when executed by the one or more processors, further cause the one or more processors to: to determine a pattern of behaviors of the vehicle operator based on a comparison of the image features extracted from the vehicle interior data with the previously classified vehicle interior data.

18. The non-transitory computer-readable medium as in claim 15 , wherein the vehicle interior data includes images and/or extracted image features that are representative of a vehicle occupant using a cellular telephone, a vehicle occupant looking out a vehicle side window, a vehicle occupant adjusting a vehicle radio, a vehicle occupant adjusting a vehicle heating, ventilation and air conditioning system, two vehicle occupants talking with one-another, a vehicle occupant reading a book or magazine, a vehicle occupant putting on makeup, or a vehicle occupant looking at themselves in a mirror, vehicle occupant locations/orientations, cellular telephone locations/orientations, vehicle occupant eye locations/orientations, vehicle occupant head location/orientation, vehicle occupant hand location/orientation, a vehicle occupant torso location/orientation, a seat belt location, or a vehicle seat location/orientation.

19. The non-transitory computer-readable medium as in claim 15 , wherein the previously classified image data includes images and/or extracted image features that have previously been classified as being representative of a vehicle occupant using a cellular telephone, a vehicle occupant looking out a vehicle side window, a vehicle occupant adjusting a vehicle radio, a vehicle occupant adjusting a vehicle heating, ventilation and air conditioning system, two vehicle occupants talking with one-another, a vehicle occupant reading a book or magazine, a vehicle occupant putting on makeup, a vehicle occupant looking at themselves in a mirror, known vehicle occupant locations/orientations, known cellular telephone locations/orientations, known vehicle occupant eye locations/orientations, known vehicle occupant head location/orientation, known vehicle occupant hand location/orientation, a known vehicle occupant torso location/orientation, a known seat belt location, or a known vehicle seat location/orientation.

20. The non-transitory computer-readable medium as in claim 15 , wherein the previously classified image data is representative of a three-dimensional representation of at least one occupant within the vehicle interior.