A method for deriving a fatigue score (100) indicative of a current drowsiness state of an operator (1) measures a plurality of signals (10, 20, 30, 40, 50, 60, 70, 80, 90) and derives a personalized fatigue score (100) for the operator using these signals (10, 20, 30, 40, 50, 60, 70, 80, 90) in a weighted and operator-personalized way.

Provided is a wearable device including a main body that is configured to be worn on a specific portion of a user's body, a sensing unit, provided in the main body, that senses a biological signal of a user, a storage unit that collects log information relating to the biological signal, and in which an index pattern relating to a state of the user included in the collected log information is stored, and a controller that sets a reference driving index, using the stored index pattern, in which when it is sensed that the user gets in a vehicle, the controller determines a current driving index corresponding to the biological signal that is sensed before and after the user gets in the vehicle, based on the reference driving index being set, and outputs feedback that notifies the state of the user that corresponds to a result of the determination.

A system may receive head pose indications determined according to movement data from a motion sensor of an optical head-mounted display worn by a vehicle driver, determine, according to the head pose indications, driver activity characteristics indicative of a history of movement of the head of the driver, and send the driver activity characteristics to a driver-aware vehicle system configured to adjust driver notification based on the driver activity characteristics. The system may also receive raw movement data from a motion sensor of an optical head-mounted display worn on a head of a vehicle driver, compute head velocity data based on the raw movement data, compute head displacement data based on the head velocity data, and update head pose indications indicative of head positioning upon determining that the head displacement data exceeds a predetermined threshold displacement.

An autonomous driving control system for a vehicle which is able to switch between manual driving and autonomous driving is provided with a driver condition sensor, acting part, and electronic control unit. The electronic control unit is provided with an autonomous driving control part, reliance calculating part for calculating an autonomous driving output reliance, vigilance calculating part for calculating a driver vigilance, and an action control part for controlling a strength of an action against a driver. In a region in which an operating point determined by the autonomous driving output reliance and driver vigilance can fall, a plurality of sub regions are defined by boundary lines extending so that the driver vigilance becomes higher as the autonomous driving output reliance becomes lower. The action control part controls the strength of the action against the driver to differ in accordance with the sub region in which the operating point falls.

In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator with a first sensor, monitoring the environment ahead of the vehicle with a second sensor, and monitoring force in one or more directions with a third sensor. A plurality of scores is assigned. Each of the plurality of scores corresponds to a respective impairment indicator, and wherein each of the plurality of scores is based on the data about potential operator impairment. An impairment score is generated by performing a mathematical operation on the plurality of scores. It is determined whether the vehicle operator is impaired by comparing the impairment score to a threshold value. Recommendations to reduce operator impairment of the vehicle operator are identified by analyzing the data about potential vehicle operator impairment.

A monitoring system includes an arithmetic processor. The arithmetic processor receives captured image information representing a captured image obtained by capturing an image of a subject and generates notification information representing a particular notification content depending on a condition of the subject. The arithmetic processor includes a first arithmetic processor and a second arithmetic processor. The first arithmetic processor obtains a condition quantity by quantifying the condition of the subject by reference to the captured image information and based on a parameter about a human activity status. The second arithmetic processor selects, according to the condition quantity, the particular notification content from contents of notification classified into N stages, where N is an integer equal to or greater than three.

A vehicle control method is disclosed. A vehicle control method according to an embodiment of the present disclosure can determine a drowsy state of a driver through AI processing of state information of the driver acquired from a sensor included in a vehicle. A processor can control a carbon dioxide concentration, a carbon monoxide concentration, a fine dust concentration and cooling efficiency inside the vehicle by causing the outside air to enter the vehicle or circulating the air inside the vehicle upon determining that the driver is in a drowsy state. The processor outputs a second warning and controls driving of the vehicle according to the second warning upon determining that the driver is continuously in the drowsy state. Accordingly, occurrence of accidents due to drowsiness of the driver can be reduced. One or more of an (autonomous vehicle, a user terminal and a server) of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

Disclosed are a method for controlling a vehicle and an intelligent computing apparatus for controlling a vehicle. The method for controlling a vehicle includes obtaining state information related to a driver in the vehicle, generating information related to concentration on the basis of the state information related to the driver, and outputting information related to drowsiness prevention on the basis of the information related to concentration, whereby it is possible to prevent driver's concentration from being decreased and it is possible to prevent occurrence of an accident due to carelessness such as decreased concentration of the driver during driving in advance by recognizing a state in which the driver's concentration is significantly decreased and providing information related to drowsiness prevention to increase concentration again. One or more of the vehicle, user terminal, and server of the present invention may be associated with an Artificial Intelligence Intelligenfce module, a robot, an Augmented Reality (AR) device, a Virtual Reality (VR) device, a device associated with a 5G service, or the like. Can be.

A method for providing rest information based on a rest pattern of a driver and an apparatus therefor are disclosed. A rest information providing method according to an embodiment of the present disclosure determines a fatigue degree and provides rest information to a driver. Here, the rest information is previously analyzed rest information preferred by the driver, and thus vehicle use satisfaction of the driver can be improved. An autonomous vehicle of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

A vehicle control method is disclosed. A vehicle control method according to an embodiment of the present disclosure can determine a drowsy state of a driver through AI processing of state information of the driver acquired from a sensor included in a vehicle. A processor can control a carbon dioxide concentration, a carbon monoxide concentration, a fine dust concentration and cooling efficiency inside the vehicle by causing the outside air to enter the vehicle or circulating the air inside the vehicle upon determining that the driver is in a drowsy state. The processor outputs a second warning and controls driving of the vehicle according to the second warning upon determining that the driver is continuously in the drowsy state. Accordingly, occurrence of accidents due to drowsiness of the driver can be reduced. One or more of an (autonomous vehicle, a user terminal and a server) of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.