Aspects of the subject disclosure may include, for example, determining, by a system comprising a processor, a driver profile according to a driver identity for a driver of a vehicle, selecting a driver-specific enforcement scenario for the vehicle according to the driver profile and traffic enforcement information that is associated with a vehicle location, and presenting an in-vehicle alert to convey the driver-specific enforcement scenario to the driver. Other embodiments are disclosed.

A vehicle outputs a driving sound generated based on the driver's preference rather than outputting a uniform driving sound. The vehicle includes a sensor that acquires at least one of a facial image, an audio signal, and a biometric signal. A database stores a plurality of sound sources classified according to driver information. A controller calculates the driver information based on at least one of the facial image, the audio signal, and the biometric signal, selects any one of the plurality of sound sources stored in the database based on the calculated driver information, generates a driving sound based on the selected sound source, and operates a speaker to output the generated driving sound.

An emotion determination device includes a memory and a processor connected to the memory. The processor is configured to acquire a facial image of a user, set an evaluation value for each of plural emotion classifications including a neutral state based on the acquired facial image, compute a correction value using an evaluation value set based on a neutral facial image acquired at a timing corresponding to a neutral state, and determine an emotion of the user by applying the computed correction value to the set evaluation values.

A sound control apparatus for a vehicle is capable of implementing a separated sound zone in response to a change in position of a passenger's head. A separated sound zone control method for a vehicle includes determining a current position of the passenger's head, and when the determined current head position corresponds to a predicted head position, outputting an output sound datum corresponding to the predicted head position through a plurality of speakers, where the output sound datum is selected by applying a sound data sample to a control filter set configured to form a separated sound zone corresponding to the predicted head position.

An approach is provided for generating a passenger-based driving profile. The approach involves collecting vehicle sensor data of a vehicle carrying a user as a passenger. The vehicle sensor data indicates at least one driving behavior of the vehicle. The approach also involves collecting user sensor data, user input data, or a combination thereof indicating a reaction of the user to the at least one driving behavior. The approach further involves including or excluding the at least one driving behavior in a passenger profile for the user based on the reaction of the user.

An in-vehicle complex biometric authentication system includes: a sensor to sense a driver's boarding of a vehicle; a controller to perform driver authentication based on biometric information sensed by multiple biometric sensors when driver's boarding in a vehicle is detected by the sensor, and to collect driver's identification information and driving habit information during operation of a vehicle when the driver authentication is succeeded; and a memory to store the identification information and driving habit information as implicit authentication information, wherein the controller further detects situation recognition information related to the implicit authentication information, after the driver authentication is succeeded, and determines whether to perform additional authentications based on the matching result of the detected situation recognition information with the implicit authentication information. According the present invention, the system can provide a biometric authentication system to which the IOT is applied.

A drive data-recording apparatus includes: an outside situation information acquisition part that acquires outside situation information indicating a situation of an outside of a movable body during traveling of the movable body; a capability information acquisition part that acquires capability information indicating an outside recognition capability of a driver of the movable body; and an information-processing part that processes the outside situation information based on the capability information.

A driver abnormality detection device detects an abnormality in a driver of a vehicle. A first notification is performed in response to detecting the abnormality. It is determined whether a first input by the driver has been detected in a first input period set after a start of the first notification. A second notification is performed in response to determining that the first input has been detected in the first input period. It is determined whether a second input by the driver has been detected in a second input period set after a start of the second notification. A first abnormality condition process is executed in response to determining that the first input has not been detected in the first input period. A second abnormality condition process is executed in response to determining that the second input has not been detected in the second input period.

A virtual private assistant (VPA) is configured to analyze various types of input that indicate one or more behaviors associated with a user and to determine the emotional state of the user based on the input. The VPA also determines one or more operations to perform on behalf of the user based on the input and the determined emotional state. The VPA then executes the one or more operations and synthesizes an output based on the emotional state of the user and the one or more operations. The synthesized output includes one or more semantic components and one or more emotional components derived from the emotional state of the user. The VPA observes the behavior of the user in response to the synthesized output and then implements various modifications, based on the observed behavior, to improve the effectiveness of future interactions with the user.

The present embodiments relate to selection and execution of one or more output actions relating to a modification of at least one feature of a vehicle. A series of sensors on a vehicle can acquire data that can be used to identify vehicle environment characteristics indicative of a status of a vehicle environment and an emotional state of the user. The vehicle environment characteristics and the emotional state can be processed using a user model that corresponds to a user to generate one or more selected output actions. The output actions can be executed on the vehicle to increase user experience. The output actions can relate to any of entertainment features, safety features, and/or comfort features of the vehicle.