A vehicle having one or more cameras, configured to record one or more images of a driver of the vehicle. The camera(s) can be configured to send biometric image data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the driver based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to transmit the risk score of the driver to the customer so that the customer can decide whether to book the vehicle for a ride.

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.

A method, computer system, and a computer program product for implementing a plurality of actions associated with an impaired driver to prevent vehicle accidents is provided. The present invention may include collecting, from a plurality of existing vehicle sensors and a plurality of existing portable user device sensors, a plurality of data. The present invention may also include analyzing the collected plurality of data. The present invention may then include determining an impairment state associated with the driver. The present invention may further include implementing the plurality of actions to prohibit the driver from operating the vehicle. The present invention may then include storing the implemented plurality of actions, the analyzed plurality of data, and the determined impairment state associated with the driver in a historical database.

A feeling estimation device includes: a first acquirer configured to acquire sound data of an utterance of a user; a second acquirer configured to acquire text data obtained by converting the sound data acquired by the first acquirer into text; a first estimator configured to merge an index value based on the sound data acquired by the first acquirer and an index value based on the text data acquired by the second acquirer via first fusion and estimate a feeling of the user on the basis of the merged index value; and a second estimator configured to merge an index value indicating a result of the estimation performed by the first estimator and the index value based on the text data acquired by the second acquirer via second fusion and estimate a feeling of the user on the basis of the merged index value.

A vehicle control device is provided in a vehicle and includes a microphone, a first voice recognition engine, a second voice recognition engine different from the first voice recognition engine, and a processor for executing the first voice recognition engine or the second voice recognition engine on the basis of the vehicle traveling mode when a command is received through the microphone.

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 sensor fusion system associated with a vehicle includes a sensor interface communicatively coupled to a plurality of sensors in the vehicle and a vehicle experience system. The sensor interface comprises an input receiving data from each of the plurality of sensors and an output configured to output fused vehicle data based on the data received from the plurality of sensors. The vehicle experience system is coupled to the output of the sensors interface to receive the fused vehicle data. The vehicle experience system includes one or more processors and a non-transitory computer readable storage medium storing instructions that when executed by one or more processors cause the one or more processors to control at least one parameter of the vehicle based on the fused vehicle data.

Information about a device may be emotively conveyed to a user of the device. Input indicative of an operating state of the device may be received. The input may be transformed into data representing a simulated emotional state. Data representing an avatar that expresses the simulated emotional state may be generated and displayed. A query from the user regarding the simulated emotional state expressed by the avatar may be received. The query may be responded to.

A movable carrier auxiliary system includes a driver state detecting device and a control device. The driver state detecting device includes a biometric feature detecting module, a storage module, and an operation module. The biometric feature detecting module detects a biometric feature of a driver. The storage module stores a first biometric feature parameter, a second biometric feature parameter, a first operating mode corresponding to the first biometric feature parameter, and a second operating mode corresponding to the second biometric feature parameter. The operation module detects whether the biometric feature of the driver matches with the first biometric feature parameter or the second biometric feature parameter or not via the biometric feature detecting module, and to correspondingly generate a detection signal. The control device retrieve the first operating mode or the second biometric feature parameter from the storage module to control the movable carrier based on the detection signal.

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.