Abstract: An apparatus and method for monitoring a driver using a brain wave signal of the driver are disclosed. The monitoring method includes collecting a brain wave signal for a driver in a vehicle for a predetermined time, determining the driver's state by analyzing the brain wave signal collected for the predetermined time, and controlling an operation of the vehicle on the basis of the determined driver's state.

Abstract: Disclosed herein is an apparatus and method for generating a driving model. The driving model generation method includes sensing to collect a brain wave signal for a driver in a mobility for a predetermined time, determining the driver's state by analyzing the brain wave signal collected for the predetermined time, detecting at least one of operational information and driving information of the mobility on the basis of the determined state of the driver, and storing the detected information. Herein, the brain wave signal includes an event-related potential (ERP), and the determining includes determining, by analyzing the ERP, whether or not the driver is in an unstable state.

Abstract: A mobility user authentication apparatus using a brain wave signal includes a receiver configured to receive a predetermined user input from a passenger of a mobility, a display configured to display a preset image list to the passenger on a predetermined area in the mobility based on the received user input, as a response to the displayed image list, a sensor configured to collect a brain wave signal for the passenger for a predetermined time, and a controller configured to perform authentication for the passenger by analyzing the collected brain wave signal.

Abstract: An apparatus and method for monitoring a driver using a brain wave signal of the driver are disclosed. The monitoring method includes collecting a brain wave signal for a driver in a vehicle for a predetermined time, determining the driver's state by analyzing the brain wave signal collected for the predetermined time, and controlling an operation of the vehicle on the basis of the determined driver's state.

Abstract: An apparatus and method for monitoring a driver with epilepsy using a brain wave signal are disclosed. The monitoring method includes collecting a brain wave signal for a driver with epilepsy in a mobility for a predetermined time, determining the driver's state by analyzing the brain wave signal collected for the predetermined time, and controlling an operation of the mobility on the basis of the determined driver's state.

Abstract: A mobility controlling method and apparatus based on error monitoring are provided. The mobility controlling method includes: collecting an Event-Related Potential (ERP) for at least one passenger in a mobility for a predetermined time, determining an error factor by analyzing the ERP that is collected for the predetermined time, and performing mobility feedback based on the error factor.

Abstract: An apparatus for providing a customized mobility driving path using a brain wave signal includes a sensor configured to collect a brain wave signal for a driver of a mobility in a predetermined channel region, an analyzer configured to determine information to be provided regarding a planned path by analyzing the brain wave signal collected in the predetermined channel region, and a controller configured to control an operation of the mobility based on the information to be provided.

Abstract: An error monitoring apparatus and method are provided. The error monitoring method includes collecting an Event-Related Potential (ERP) for at least one passenger in a first mobility for a predetermined amount of time, analyzing the ERP collected for the predetermined amount of time, and transmitting error information of the first mobility to a traffic control server based on a result of analysis. The error information of the first mobility includes at least one of information on a time when the ERP is generated, a waveform of the ERP, position information of the first mobility or operation information of a second mobility, and the second mobility is different from the first mobility and has caused the ERP.

Abstract: An apparatus for determining ride comfort of a passenger using brain wave signals includes an analyzer configured to determine first ride comfort information of a passenger based on information on a seating posture of the passenger in a mobility, a sensor configured to collect brain wave signals of the passenger in the mobility for a predetermined time, and a controller configured to control the mobility, wherein the analyzer is configured to determine second ride comfort information obtained by correcting the first ride comfort information, by analyzing the collected brain wave signals based on the first ride comfort information, and wherein the controller is configured to control the mobility based on the determined second ride comfort information.

Abstract: An apparatus for generating an image using brain wave signals includes a sensor configured to collect brain wave signals of at least one passenger in a mobility from a plurality of channels for a predetermined time, and a controller configured to generate a first image from the brain wave signals collected from the plurality of channels using an artificial intelligence model, to select at least one second image included in a predetermined list based on the generated first image, and to control the mobility as a response to the selected second image.

Abstract: An apparatus and a method for selecting an item using a brain wave signal are disclosed. The method for selecting an item includes: receiving, by a receiver, information on at least one item from a service point; displaying, by a display, the received information on a predetermined area in a mobility; in response to the displayed information, collecting, by a sensor, a brain wave signal for at least one passenger in the mobility for a predetermined time; and determining, by a controller, the passenger's choice by analyzing the collected brain wave signal.

Abstract: The present invention relates to a stress analysis method including: acquiring bio-signals from a test subject; calculating a probability of each of a plurality of stress level values by processing the bio-signals using a deep neural network algorithm; estimating a stress level value with the maximum probability of the plurality of stress level values as a stress level value of the test subject; determining usefulness of the estimated stress level value; and outputting the estimated stress level value determined to be useful through the determination of usefulness, as the final stress level.

Abstract: Disclosed herein are an apparatus and method for generating an image using a brain wave signal. The method of generating an image using brain wave signals includes collecting brain wave signals of at least one passenger in a mobility from a plurality of channels for a predetermined time, generating a first image of a service point from the brain wave signals collected from the plurality of channels using an artificial intelligence model, determining whether the generated first image is similar to a preset second image, and controlling the mobility based on a result of the determination.

Abstract: An error monitoring apparatus and method are provided. The error monitoring method includes determining whether or not a predetermined event has occurred to a first mobility; sensing to collect an event-related potential (ERP) for at least one passenger of the first mobility for a predetermined amount of time, analyzing the collected ERP based on the determination, and transmitting error information of the first mobility to a traffic control server based on an analysis result. Herein, the predetermined event includes a traffic accident related at least to the first mobility, and the error information of the first mobility includes at least one of time information regarding when the ERP occurs, a waveform of the ERP, location information of the first mobility, or operational information of the first mobility.

Abstract: An emergency driving situation control apparatus using a brain wave signal includes a sensor configured to collect a brain wave signal for at least one passenger of a mobility in a predetermined channel region, an analyzer configured to determine, by analyzing the brain wave signal collected in the predetermined region, whether or not an emergency situation has occurred to the mobility, and a controller configured to control an operation of the mobility based on a result of the determination.

Abstract: An apparatus and method for monitoring a driver with epilepsy using a brain wave signal are disclosed. The monitoring method includes collecting a brain wave signal for a driver with epilepsy in a mobility for a predetermined time, determining the driver's state by analyzing the brain wave signal collected for the predetermined time, and controlling an operation of the mobility on the basis of the determined driver's state.

Abstract: An apparatus for providing a customized mobility driving path using a brain wave signal includes a sensor configured to collect a brain wave signal for a driver of a mobility in a predetermined channel region, an analyzer configured to determine information to be provided regarding a planned path by analyzing the brain wave signal collected in the predetermined channel region, and a controller configured to control an operation of the mobility based on the information to be provided.

Abstract: A mobility user authentication apparatus using a brain wave signal includes a receiver configured to receive a predetermined user input from a passenger of a mobility, a display configured to display a preset image list to the passenger on a predetermined area in the mobility based on the received user input, as a response to the displayed image list, a sensor configured to collect a brain wave signal for the passenger for a predetermined time, and a controller configured to perform authentication for the passenger by analyzing the collected brain wave signal.

Abstract: An apparatus for determining ride comfort of a passenger using brain wave signals includes an analyzer configured to determine first ride comfort information of a passenger based on information on a seating posture of the passenger in a mobility, a sensor configured to collect brain wave signals of the passenger in the mobility for a predetermined time, and a controller configured to control the mobility, wherein the analyzer is configured to determine second ride comfort information obtained by correcting the first ride comfort information, by analyzing the collected brain wave signals based on the first ride comfort information, and wherein the controller is configured to control the mobility based on the determined second ride comfort information.

Abstract: An apparatus for generating an image using brain wave signals includes a sensor configured to collect brain wave signals of at least one passenger in a mobility from a plurality of channels for a predetermined time, and a controller configured to generate a first image from the brain wave signals collected from the plurality of channels using an artificial intelligence model, to select at least one second image included in a predetermined list based on the generated first image, and to control the mobility as a response to the selected second image.