Abstract: An apparatus and method for determining drowsiness of a driver are provided. The apparatus includes an imaging device that obtains an image of the driver and a controller that determines (e.g., based on the image of the driver) when the driver is in a fatigue state, when the driver is in an eyelid closure state, and when the driver is in a wake-up state. The controller further determines that the driver is in a drowsiness state when after the fatigue state of the driver continues over a predetermined first time interval, the eyelid closure state and the wake-up state of the driver alternately and repetitively occur within a predetermined second time interval.

Abstract: A system for determining a drowsy state of a driver includes: a heartbeat measurement module configured to detect a heartbeat rate of the driver and output a heartbeat signal corresponding to the detected heartbeat rate; a vehicle signal measurement module configured to measure a driving state of a vehicle being driven by the driver and output a vehicle signal corresponding to the measured driving state; a drowsy pattern detection module configured to determine whether a driver has fallen asleep while driving based on the heartbeat signal and the vehicle signal and output a warning signal as a drowsy warning in response to determining that the driver has fallen asleep while driving; and a warning module configured to output a warning to the driver based on the warning signal.

Abstract: An apparatus for manipulating in-vehicle devices using a steering wheel includes a reference signal input unit for inputting a reference signal to a driver through a charged plate, a touch sensor for receiving the reference signal through human body communication and for detecting a touch of the driver, and a controller for generating a control signal on the basis of the results detected by the touch sensor.

Abstract: A method of classifying an input pattern and a pattern classification apparatus are provided. The method includes enabling an artificial neural network to learn based on learning input data received by an input layer of the artificial neural network, determining classification of an input pattern received by the input layer of the enabled artificial neural network according to an output value obtained from an output layer of the artificial neural network, the obtained output value being based on the input pattern, updating connection intensities of a plurality of connection lines of the enabled artificial neural network to output a result value indicating the determined classification from the output layer when the input pattern, and determining updated classification of the input pattern according to an updated output value obtained from an output layer of the updated artificial neural network, the obtained updated output value being based on the input pattern.

Abstract: A driver customizable blind spot display method and apparatus are provided. The method of displaying blind spots of a vehicle via a screen mounted within a vehicle includes receiving information regarding positions of the driver's eyes from a driver state monitoring system and receiving current mirror setting information on a per in-vehicle mirror basis from a mirror drive unit. Blind spots and viewable spots are then calculated using the information regarding positions of the driver's eyes and the current mirror setting information. Particularly, the position of the driver's eyes is used to determine optimum mirror setting information. A mirror plane angle is then adjusted based on the optimum mirror setting information. A current blind spot coverage screen is then output to display the calculated blind spots and viewable spots.

Abstract: A system for determining a drowsy state of a driver includes: a heartbeat measurement module configured to detect a heartbeat rate of the driver and output a heartbeat signal corresponding to the detected heartbeat rate; a vehicle signal measurement module configured to measure a driving state of a vehicle being driven by the driver and output a vehicle signal corresponding to the measured driving state; a drowsy pattern detection module configured to determine whether a driver has fallen asleep while driving based on the heartbeat signal and the vehicle signal and output a warning signal as a drowsy warning in response to determining that the driver has fallen asleep while driving; and a warning module configured to output a warning to the driver based on the warning signal.

Abstract: A driver customizable blind spot display method and apparatus are provided. The method of displaying blind spots of a vehicle via a screen mounted within a vehicle includes receiving information regarding positions of the driver's eyes from a driver state monitoring system and receiving current mirror setting information on a per in-vehicle mirror basis from a mirror drive unit. Blind spots and viewable spots are then calculated using the information regarding positions of the driver's eyes and the current mirror setting information. Further, a current blind spot coverage screen is output that displays the calculated blind spots and viewable spots.

Abstract: A system and method for alerting drowsy driving are provided. The system includes a d controller configured to analyze a driving pattern of a vehicle to detect a dangerous driving pattern. In addition, the controller is configured to analyze a face image of a driver to detect an eye pattern maintained for a predetermined period of time or longer. Further, the controller is configured to determine that the driver is driving while drowsy when the eye closing for the predetermined period of time or longer and the dangerous driving pattern are simultaneously detected.

Abstract: The present inventive concept relates to a method and apparatus for detecting quickly and consistently a poor driving pattern for the change status of a lateral position of a vehicle and effectively warning a poor driving situation by applying a lane departure warning system assisting a driver of a vehicle by recognizing and tracking a lane.

Abstract: An apparatus and a method for determining a drowsy state include an information acquirer acquiring physiological information of a user, a mode determiner setting an operation mode among modes categorized according to variable applied to determine a drowsy state of the user. A threshold determiner sets a threshold for an application variable of the set mode based on data in a reference table stored in database (DB). A physiological index calculator calculates a measurement value for each of the application variables based on state information of the user acquired in real time from the information acquirer. A state determiner determines the drowsy state of the user by comparing a user table generated from the measurement value calculated for each of the application variables with the reference table.

Abstract: An apparatus and a method for a safe drive inducing game that includes a controller configured to execute the safe drive inducing game when a driver attention dispersion state is detected when a vehicle is driven. In addition, the controller recognizes a target driving path from vehicle driving information when executing the safe drive inducing game and generates a path guidance display according to the recognized target driving path to display on a game screen. The controller determines whether the vehicle follows the path guidance display by comparing a driving state of the vehicle with a position of the path guidance display displayed on the game screen and calculates a score of the safe drive inducing game according to whether the vehicle follows the path guidance display.

Abstract: A method of classifying an input pattern and a pattern classification apparatus are provided. The method includes enabling an artificial neural network to learn based on learning input data received by an input layer of the artificial neural network, determining classification of an input pattern received by the input layer of the enabled artificial neural network according to an output value obtained from an output layer of the artificial neural network, the obtained output value being based on the input pattern, updating connection intensities of a plurality of connection lines of the enabled artificial neural network to output a result value indicating the determined classification from the output layer when the input pattern, and determining updated classification of the input pattern according to an updated output value obtained from an output layer of the updated artificial neural network, the obtained updated output value being based on the input pattern.