This disclosure is generally directed to systems and methods for protecting the health of occupants of a vehicle. In an example method, a sensor in a vehicle sends sensor data to a computer, based on detecting a symptomatic feature that indicates a health status of a first occupant of the vehicle. In one case, the symptomatic feature may be an elevated body temperature that may be symptomatic of a fever. In another case, the detected symptomatic feature may be a sound emitted by the first occupant such as, for example, a cough, a sneeze, or a wheeze. The computer evaluates the sensor data and identifies a health risk posed by the first occupant to a second occupant of the vehicle. The computer may address the health risk, for example, by modifying an air quality inside the vehicle or by instructing the occupants of the vehicle to don masks.

A processing system deployed in a carrier transport vehicle may establish a wireless communication session with a mobile device of a user, assign a zone of the carrier transport vehicle to the user, the zone including a plurality of network-connected devices, obtain a user profile from the mobile device of the user, determine at least one biometric sensor accessible via the mobile device of the user, obtain biometric data of the user from the at least one biometric sensor accessible via the mobile device of the user, determine a condition of the user based upon the biometric data, identify at least one adjustment to at least one of the plurality of network-connected devices in response to the condition of the user that is determined and the user profile, and apply the at least one adjustment to the at least one of the plurality of network-connected devices.

Content on a display of a vehicle is controlled based on a degree of automation of a driving state of the vehicle and at least one further state variable of the vehicle or of a passenger.

A defibrillation system may include a cardiac arrest detector detecting whether cardiac arrest of a passenger has occurred in a state of taking a seat of a self-driving vehicle and fastening a seatbelt of the vehicle; a passenger posture detection device detecting a posture of the passenger; a seat driving device changing the posture of the passenger into another posture in which the passenger lies down based on a detection signal of the passenger posture detection device when the cardiac arrest of the passenger occurs; a heart position detector configured to search for a position of a heart of the passenger; a defibrillation robot to perform a CPR method or a method using an AED on the heart of the passenger; and a controller controlling operation of the seat driving device, the heart position detector, and the defibrillation robot based on detection signals of the cardiac arrest detector and the passenger posture detection device.

The present teachings relate to a device, system, and method for facial recognition and monitoring. The present teachings may relate to a method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising: a) receiving incoming video data; b) preprocessing the video data; c) extracting facial data to identify one or more users; d) recognizing the presence, probability, and/or absence of the health event; e) generating one or more notifications or not generating based on the presence, probability, and/or absence of the health event; and f) optionally, enabling one or more safety protocols of a vehicle.

A drive mode switch control device controls switching of driving between a driver and an autonomous driving function. The drive mode switch control device includes an operation information acquisition unit, a drive state switch unit, an attitude determination unit, and an approved target setting unit. The operation information acquisition unit acquires an operation information item associated with the driving operation input to at least one of a plurality of operation targets. The drive state switch unit executes an override that switches from an autonomous driving state to another driving state. The attitude determination unit acquires a plurality of detection information items related to driving attitudes of the driver, and determine whether each of the plurality of detection information items is appropriate for the driving operation. The approved target setting unit sets an approved operation target or a disapproved operation target to each of the plurality of operation targets.

A vehicular occupant health monitoring system includes a heartbeat sensor disposed at a vehicle and operable to capture sensor data measuring an aspect associated with the heart of an occupant of the vehicle. A control includes a processor operable to process sensor data captured by the heartbeat sensor and provided to the control. The vehicular occupant health monitoring system, responsive to processing by the processor of sensor data captured by the heartbeat sensor, determines whether the measured aspect associated with the heart of the occupant is abnormal. The vehicular occupant health monitoring system, responsive to determining the measured aspect associated with the heart of the occupant is abnormal, controls a function of the vehicle.

A movable carrier auxiliary system includes a driver state detecting device and a warning device. The driver state detecting device includes a physiological state detecting module, a storage module, and an operation module. The physiological state detecting module is adapted to detect a physiological state of a driver. The storage module is disposed in a movable carrier and stores an allowable parameter corresponding to the at least one physiological state. The operation module is disposed in the movable carrier and is electrically connected to the physiological state detecting module and the storage module to detect whether the at least one physiological state of the driver exceeds the allowable parameter or not, and to correspondingly generate a detection signal. The warning device generate a warning message when the detection signal that the at least one physiological state of the driver exceeds the allowable parameter is received.

A first imaging section 201 captures an image of the vehicle exterior, and a second imaging section 202 captures an image of a driver. An image processing section 203 detects the driver's line of sight. An information acquisition section 205 acquires status information indicative of the surrounding environment. A driving parameter information generation section 206 generates driving parameter information by use of, as parameter information, the current position detected by a self-position detection section 204, travel control information generated by a travel control section, information indicative of the driver's line of sight, information indicative of the surrounding environment, and the like. A determination section 209 determines whether there is a danger on the basis of a difference between the driving parameter information indicative of the state of the vehicle or of its driver on one hand, and optimum parameter information indicative of an optimum state of the vehicle or of its driver in the current position and in the current surrounding environment on the other hand. An information presentation section 214 presents driving assistance information on the basis of a result of the determination. On the basis of the determination result, a travel control section 210 provides traveling assistance such as to reduce the difference in parameter information. The present technology enables appropriate driving assistance.

Sentiment-based navigation is provided herein. A method can include extracting features of sensor data captured by a sensor associated with a vehicle, wherein the sensor data is representative of a subject selected from a group of subjects comprising an occupant of the vehicle and an environment in which the vehicle is located, resulting in extracted features. The method can further include determining sentiment data representative of an emotional condition of the occupant of the vehicle based on an analysis of the extracted features, and generating a navigation route for the vehicle from an origin point to a destination point based on the sentiment data.