TECHNICAL FIELD

The present disclosure is directed to apparatuses, systems and methods for detecting vehicle operator gestures and transmission of related gesture data. More particularly, the present disclosure is directed to apparatuses, systems and methods for integrating vehicle operator gesture recognition data within geographic maps.

BACKGROUND

Vehicles are being provided with more complex systems. For example, vehicles commonly include a plethora of entertainment systems, such as stereos, USB interfaces for mobile telephones, video players, etc. Vehicles often have a host of other operator interfaces, such as emergency calling systems, vehicle navigation systems, heating and air conditioning systems, interior and exterior lighting controls, air bags, seatbelts, etc.

Vehicle operating environments are becoming more complex as well. For example, some roadways include U-turn lanes, round-a-bouts, no-left turn, multiple lanes one way in the morning and the other way in the afternoon, etc. Increases in traffic are also contributing to increased complexity.

These additional complexities contribute to increases in driver risk. What is needed are methods and systems for generating data representative of vehicle in-cabin insurance risk evaluations based on data representative of skeletal diagrams of a driver that are indicative of degrees of driver risk.

SUMMARY

A device for determining vehicle operator gestures and incorporating the vehicle operator gestures within geographic maps may include a previously classified image data receiving module stored on a memory that, when executed by a processor, causes the processor to receive previously classified image data from at least one previously classified image database. The previously classified image data may be representative of previously classified vehicle occupant gestures. The device may also include a current image data receiving module stored on a memory that, when executed by a processor, causes the processor to receive current image data from at least one vehicle interior sensor. The current image data may be representative of current vehicle occupant gestures. The device may further include a current image data classification module stored on a memory that, when executed by a processor, causes the processor to classify the current image data by comparing the current image data to the previously classified image data. The currently classified image data may be representative of at least one current vehicle occupant gesture. The device may yet further include a currently classified image data transmission module stored on a memory that, when executed by a processor, causes the processor to transmit the currently classified image data to at least one geographic map application programming interface.

In another embodiment, a computer-implemented method for determining vehicle occupant gestures and for incorporating the vehicle occupant gestures within geographic maps may include receiving, at a processor of a computing device, previously classified image data from at least one previously classified image database in response to the processor executing a previously classified image data receiving module. The previously classified image data is representative of previously classified vehicle occupant gestures. The method may also include receiving, at a processor of a computing device, current image data from at least one vehicle interior sensor a current image data receiving module, in response to the processor executing a current image data receiving module. The current image data may be representative of at least one current vehicle occupant gesture. The method may further include classifying, using a processor of a computing device, at least one gesture associated with a vehicle occupant, based on a comparison of the current image data with the previously classified image data, in response to the processor executing a current image data classification module. The method may yet further include transmitting, using a processor of a computing device, the currently classified image data to at least one geographic map application programming interface, in response to the processor executing a currently classified image data transmission module.

In a further embodiment, a non-transitory computer-readable medium storing computer-readable instructions that, when executed by a processor, may cause the processor to determine vehicle occupant gestures and incorporate the vehicle occupant gestures within geographic maps. The non-transitory computer-readable medium may include a previously classified image data receiving module that, when executed by a processor, may cause the processor to receive previously classified image data from at least one previously classified image database. The previously classified image data may be representative of previously classified vehicle occupant gestures. The non-transitory computer-readable medium may also include a current image data receiving module that, when executed by a processor, may cause the processor to receive current image data from at least one vehicle interior sensor. The current image data may be representative of current vehicle occupant gestures. The non-transitory computer-readable medium may further include a current image data classification module that, when executed by a processor, may cause the processor to classify the current image data by comparing the current image data to the previously classified image data. The currently classified image data may be representative of at least one current vehicle occupant gesture. The non-transitory computer-readable medium may yet further include a currently classified image data transmission module that, when executed by a processor, may cause the processor to transmit the currently classified image data to at least geographic map application programming interface.

