An in-vehicle violence detection system includes a speech and non-speech audio recognition module capturing occupant threat words and non-speech audio events. In-vehicle accelerometers generate data analyzed in a shaking movement recognition module. A heart rate and breathing rate detection module measures physiological changes in occupant heart rates and breathing rhythms. An in-vehicle semantic scene recognition module analyzes occupant non-verbal interactions. Occupant threat indicators including an audible threat indicator are generated by the speech and non-speech audio event recognition module. Visual threat indicators are generated by the in-vehicle semantic scene recognition module. Physiological threat indicators are generated by the heart rate and breathing rate detection module. Vibration-based threat indicators are generated by the shaking movement recognition module. The four threat indicators are fused to estimate a threat level, consolidated by incorporating contextual information including a vehicle location and time. Different actions are taken based on the consolidated threat level.

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.

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.

Techniques are disclosed for utilizing passenger attention data captured in vehicles for vehicle localization and location-based services. In an embodiment, a method includes receiving sensor data from one or more sensors of an autonomous vehicle operating in an environment, and generating passenger attention data for a passenger of the autonomous vehicle using the sensor data. A processing circuit determines one or more physical features in the environment based on the passenger attention data. The processing circuit obtains physical feature data associated with the physical feature(s) and initiates one or more actions on the AV based at least in part on the physical feature data. The actions include but are not limited to requesting content for physical features(s) and assisting in localization of the autonomous vehicle.

Disclosed is a vehicular electronic device including a processor configured to receive information on a user gaze direction, to determine whether a user looks forward based on the information, to perform control to make a call using voice only upon determining that the user looks forward, and to perform control to make a call using voice and an image upon determining that the user does not look forward.

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 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.

A vehicle conversation information output device is included in a vehicle conversation information output system configured to output conversation information to a driver driving a vehicle, the conversation information being created according to a predefined personality, the device including: a receiving part that obtains usage information related to how the vehicle has been used by the driver; a modifying part that modifies the predefined personality based on the usage information obtained by the receiving part; a creating part that creates conversation information to be output to the driver based on the personality modified by the modifying part; and an outputting part that outputs the conversation information created by the creating part to the driver.

In one example a system for emotional adaptive driving policies for automated driving vehicles, comprising a first plurality of sensors to detect environmental information relating to at least one passenger in a vehicle and a controller communicatively coupled to the plurality of sensors and comprising processing circuitry, to receive the environmental information from the first plurality of sensors, determine, from the environmental information, an emotional state of the at least one passenger, and implement a driving policy based at least in part on the emotional state of the at least one passenger. Other examples may be described.

An in-vehicle apparatus 100 collects a user's voice at predetermined time intervals by using, for example, microphones, and transmits the voice to an analysis server 200 as audio data. The analysis server 200 extracts features of the user's voice, such as tone, pitch and speech intervals, from the received audio data, and analyzes and determines the user's feeling based on the extracted features of the voice so as to generate feeling state information and to send it back to the in-vehicle apparatus 100. The in-vehicle apparatus 100 refers to the feeling state information and thereby gives a content modification to content that has been automatically generated.