Abstract: A home control system and a method of home control from a vehicle includes determining a distance between the vehicle and a home, and controlling a home system of the home in response to the distance or the estimated amount of time for the vehicle to reach home.

Abstract: A computing device and methods for restricting driver interactions with vehicle functions based on a challenging driving environment are disclosed. One example method for restricting driver interactions with vehicle functions based on a challenging driving environment includes identifying a challenging driving environment based at least in part on information regarding a driving condition; and preventing a driver from accessing one or more vehicle functions based on the challenging driving environment exists. Example implementations include identifying a challenging driving environment based on information received from on-vehicle sensors and/or external communication links; identifying a driver's skill level; and selectively blocking vehicle functionality, selectively presenting information to a driver, and selecting available driver interactions based on the driving environment.

Abstract: A method, system, device and computer readable medium for adaptively warning a driver includes detecting a behavior of the driver, the behavior including engagement in a secondary activity, which is an activity other than driving a vehicle. Based on the detected behavior, a level of engagement in the secondary activity is estimated, and, based on the estimated level of engagement in the secondary activity, the driver's level of perception of an external hazard is determined. A warning alert for the driver, when the level of perception is below a threshold is actuated. A reaction of the driver to the actuated warning alert is determined. Based on the reaction of the driver to the actuated warning alert, the warning alert is adjusted, and the warning alert is terminated when the level of perception becomes above the threshold because of the reaction of the driver to the actuated warning alert.

Abstract: A system for a vehicle that provides personal convenience reminders to a user of a vehicle. The system accesses an off board system such as a personal electronic device of the user to display the personal convenience reminders. The system can also access various off board applications in response to the personal electronic device of the user to further refine the personal convenience reminders in response to a user selection.

Abstract: A method and apparatus for determining an inattentive state of an operator of a vehicle and for providing information to the operator of the vehicle by obtaining face images of the operator of the vehicle, obtaining images of an environment of the vehicle, determining one or more areas of interest in the environment of the vehicle based on the images of the environment, obtaining, from a relevance and priority database, relevance and priority values corresponding to the one or more areas of interest, determining a probability of attention of the operator of the vehicle to the one or more areas of interest based on the images of the environment and the relevance and priority values, determining an attention deficiency based on the determined probability of attention and the face images, and providing the information to the operator of the vehicle based on the determined attention deficiency.

Abstract: A method and system for risk prediction for a support actuation system. The system includes a support actuation system for an automobile having a support actuation module and/or a risk prediction system. The risk prediction system includes a sensor, a processor, and/or a memory. The sensor detects images corresponding to identity data, environment data, event data, and/or behavior data, which are stored in the memory. The memory also stores a database including identities of users, environment risk values, event risk values, and/or behavior risk values. Using the identity data, the environment data, the event data, and/or the behavior data, the processor determines the environment risk value, the event risk value, the behavior risk value, and/or the total risk value for a user. When the total risk value is above a predetermined risk threshold, the support actuation module performs support actuation.

Abstract: A method and apparatus for determining an inattentive state of an operator of a vehicle and for providing information to the operator of the vehicle by obtaining face images of the operator of the vehicle, obtaining images of an environment of the vehicle, determining one or more areas of interest in the environment of the vehicle based on the images of the environment, obtaining, from a relevance and priority database, relevance and priority values corresponding to the one or more areas of interest, determining a probability of attention of the operator of the vehicle to the one or more areas of interest based on the images of the environment and the relevance and priority values, determining an attention deficiency based on the determined probability of attention and the face images, and providing the information to the operator of the vehicle based on the determined attention deficiency.

Abstract: A method and apparatus for determining an inattentive state of an operator of a vehicle and for providing information to the operator of the vehicle by obtaining face images of the operator of the vehicle, obtaining images of an environment of the vehicle, determining one or more areas of interest in the environment of the vehicle based on the images of the environment, obtaining, from a relevance and priority database, relevance and priority values corresponding to the one or more areas of interest, determining a probability of attention of the operator of the vehicle to the one or more areas of interest based on the images of the environment and the relevance and priority values, determining an attention deficiency based on the determined probability of attention and the face images, and providing the information to the operator of the vehicle based on the determined attention deficiency.

Abstract: A method, system, device and computer readable medium for adaptively warning a driver includes detecting a behavior of the driver, the behavior including engagement in a secondary activity, which is an activity other than driving a vehicle. Based on the detected behavior, a level of engagement in the secondary activity is estimated, and, based on the estimated level of engagement in the secondary activity, the driver's level of perception of an external hazard is determined. A warning alert for the driver, when the level of perception is below a threshold is actuated. A reaction of the driver to the actuated warning alert is determined. Based on the reaction of the driver to the actuated warning alert, the warning alert is adjusted, and the warning alert is terminated when the level of perception becomes above the threshold because of the reaction of the driver to the actuated warning alert.

Abstract: The present invention includes a method of detecting drowsy facial expressions of vehicle drivers under changing illumination conditions. The method includes capturing an image of a person's face using an image sensor, detecting a face region of the image using a pattern classification algorithm, and performing, using an active appearance model algorithm, local pattern matching to identify a plurality of landmark points on the face region of the image. The method also includes generating a 3D face model with facial muscles of the face region, determining photometric flows from the 3D face model using an extract photometric flow module, determining geometric flows from the 3D face model using a compute geometric flow module, determining a noise component generated by varying illuminations by comparing the geometric flows to the photometric flows, and removing the noise component by subtracting two photometric flows.

Abstract: The present invention relates to a method and system for risk prediction for a support actuation system. The present invention includes a support actuation system for an automobile having a support actuation module and/or a risk prediction system. The risk prediction system includes a sensor, a processor, and/or a memory. The sensor detects images corresponding to identity data, environment data, event data, and/or behavior data, which are stored in the memory. The memory also stores a database including identities of users, environment risk values, event risk values, and/or behavior risk values. Using the identity data, the environment data, the event data, and/or the behavior data, the processor determines the environment risk value, the event risk value, the behavior risk value, and/or the total risk value for a user. When the total risk value is above a predetermined risk threshold, the support actuation module performs support actuation.

Abstract: The present invention discloses a system and a process for rapidly detecting drowsiness in a individual operating a machine. The system can capture a plurality of facial images of the individual and compare one or more facial parameters from the images to a plurality of stored high priority sleepiness facial actions that are in a prioritized action database. Based on the comparison, a current level of sleepiness can be determined for the individual and an actuator can be actuated in order to alert the individual and possibly any other individuals that may be in the vicinity.

Abstract: The present invention includes a method of detecting drowsy facial expressions of vehicle drivers under changing illumination conditions. The method includes capturing an image of a person's face using an image sensor, detecting a face region of the image using a pattern classification algorithm, and performing, using an active appearance model algorithm, local pattern matching to identify a plurality of landmark points on the face region of the image. The method also includes generating a 3D face model with facial muscles of the face region, determining photometric flows from the 3D face model using an extract photometric flow module, determining geometric flows from the 3D face model using a compute geometric flow module, determining a noise component generated by varying illuminations by comparing the geometric flows to the photometric flows, and removing the noise component by subtracting two photometric flows.

Abstract: The present invention discloses a system and a process for rapidly detecting drowsiness in a individual operating a machine. The system can capture a plurality of facial images of the individual and compare one or more facial parameters from the images to a plurality of stored high priority sleepiness facial actions that are in a prioritized action database. Based on the comparison, a current level of sleepiness can be determined for the individual and an actuator can be actuated in order to alert the individual and possibly any other individuals that may be in the vicinity.