KR20250100372A - Method and apparatus for automatically setting driver profile of vehicle based on driver's behavior patterns - Google Patents

Abstract

A method for automatically setting a profile based on a driver behavior pattern according to one embodiment of the present invention receives a user input corresponding to a behavior pattern from a driver of a vehicle, identifies driver information based on the received user input by referring to a pre-stored driver behavior pattern model, sets a driver profile based on the identified driver information, and controls the vehicle according to the set driver profile.

Description

Method and apparatus for automatically setting driver profile of vehicle based on driver's behavior patterns

Embodiments relate to a method and device for automatically setting a driver profile of a vehicle based on driver behavior patterns.

Newer vehicles can store settings defined in the vehicle in a driver profile, and the profile can also be linked to one of the vehicle's keys. Using a key linked to a driver profile provides functions that allow the seats, mirrors, and air conditioning to be adjusted according to the settings linked to the profile.

However, there is a problem that in order to set up these driver profiles, the driver profiles can only be entered after going through several input steps in the vehicle's control interface, multimedia device, or IVI device.

[Prior art document number]

Patent Document 1: Korean Patent No. 10-1534866

Patent Document 2: Korean Publication Patent No. 2011-0076520

The embodiments provide a method and device for automatically setting a driver profile of a vehicle based on driver behavior patterns. In addition, a computer-readable recording medium having recorded thereon a program for executing the method on a computer is provided. The technical problems to be solved are not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above-described technical task, a method for automatically setting a driver profile of a vehicle based on a driver behavior pattern according to one embodiment includes the steps of: receiving a user input corresponding to a behavior pattern from a driver of the vehicle; identifying driver information based on the received user input with reference to a pre-stored driver behavior pattern model; setting a driver profile based on the identified driver information; and controlling the vehicle according to the set driver profile.

The above-mentioned pre-stored driver behavior pattern model may be an artificial intelligence model that machine-learns the behavior pattern of the driver of the vehicle.

The method for automatically setting a driver profile of the vehicle further includes a step of communicating with a user terminal via a short-range communication network including Bluetooth or NFC, and can confirm the identified driver information based on the user information transmitted from the user terminal.

The method for automatically setting a driver profile of the vehicle further includes a step of displaying the set driver profile on a display of the vehicle, and at least one of driver setting control, vehicle control, and convenience function control can be controlled according to a selection of the displayed driver profile.

The above driver profile may include at least one of user information, seat setting information, driving information, address book information, phone function information, and multimedia information.

As another technical means for achieving the other technical task described above, a device for automatically setting a driver profile of a vehicle based on a driver behavior pattern according to another embodiment includes a storage unit storing a driver behavior pattern model; and a processor,

The above processor can receive a user input corresponding to a behavior pattern from a driver of a vehicle, identify driver information based on the received user input by referring to the stored driver behavior pattern model, set a driver profile based on the identified driver information, and control the vehicle according to the set driver profile.

The above-mentioned pre-stored driver behavior pattern model may be an artificial intelligence model that machine-learns the behavior pattern of the driver of the vehicle.

The driver profile automatic setting device of the above vehicle further includes a short-range communication unit that communicates with a user terminal via a short-range communication network including Bluetooth or NFC,

The above processor can verify the identified driver information based on the user information transmitted from the user terminal.

The driver profile automatic setting device of the above vehicle further includes a display unit that displays the set driver profile on the display of the vehicle,

The above processor can control at least one of driver setting control, vehicle control and convenience function control depending on the selection for the driver profile displayed above.

The above driver profile may include at least one of user information, seat setting information, driving information, address book information, phone function information, and multimedia information.

As a technical means for achieving another technical task described above, a vehicle infotainment system including a device for automatically setting a driver profile of a vehicle according to another embodiment is provided.

As a technical means for achieving another technical task described above, a recording medium is provided which records a program for executing a method for automatically setting a driver profile of a vehicle according to another embodiment on a computer.

Figure 1 is an internal block diagram of the vehicle.
Figure 2 is a block diagram of the vehicle driving assistance system (ADAS) illustrated in Figure 1.
FIG. 3 is a schematic diagram of an automatic profile setting device according to one embodiment.
FIG. 4 is a schematic diagram of the IVI device (300) illustrated in FIG. 3.
Figure 5 is a drawing for explaining setting a profile.
Figure 6 is a flow chart for explaining a method for automatically setting a profile based on driver behavior patterns.
Figure 7 is a schematic diagram of the user terminal (350) illustrated in Figure 3.
FIG. 8 is an example diagram illustrating various user inputs within a vehicle according to one embodiment.
Figure 9 is an example diagram illustrating machine learning for generating another driver behavior pattern model in one embodiment.

The appearances of the phrases “in some embodiments” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment.

Some embodiments of the present disclosure may be represented by functional block configurations and various processing steps. Some or all of these functional blocks may be implemented by various numbers of hardware and/or software configurations that perform specific functions. For example, the functional blocks of the present disclosure may be implemented by one or more microprocessors, or may be implemented by circuit configurations for a given function. Also, for example, the functional blocks of the present disclosure may be implemented by various programming or scripting languages. The functional blocks may be implemented by algorithms that are executed on one or more processors. In addition, the present disclosure may employ conventional techniques for electronic environment settings, signal processing, and/or data processing, etc. Terms such as “mechanism,” “element,” “means,” and “configuration” may be used broadly and are not limited to mechanical and physical configurations.

In addition, the connecting lines or connecting members between components depicted in the drawings are only illustrative of functional connections and/or physical or circuit connections. In an actual device, connections between components may be represented by various functional connections, physical connections, or circuit connections that may be replaced or added.

In an embodiment, the driver behavior pattern may be a driver's driving pattern based on various sensors placed in the vehicle. The driving pattern can be recognized by comparing and analyzing the correlation of driving data obtained through the sensors, and the driver's driving pattern can be analyzed based on this. In addition, each driving pattern can be analyzed using the gravity value acting on the acceleration sensor and the direction data of the geomagnetic sensor. In addition, the driver behavior pattern can monitor the driver's behavior for controlling various vehicle control devices placed in the vehicle, such as a black box device, a multimedia device, an air conditioner, a door device, and various convenience devices, and analyze the driver behavior pattern based on the monitored results.

In an embodiment, the driver behavior pattern model may include machine learning results of the various driver behavior patterns described above. Referring to FIG. 9, learning data corresponding to various driver behavior patterns are input into an artificial intelligence neural network, and driver information may be output as a result value through machine learning.

The present disclosure will be described in detail with reference to the attached drawings below.

Figure 1 is an internal block diagram of a vehicle according to one embodiment.

Referring to FIG. 1, a vehicle (100) may include a communication unit (110), an input unit (120), a sensing unit (125), a memory (130), an output unit (140), a vehicle driving unit (150), an advanced driver assistance system (ADAS, 160), a control unit (170), an interface unit (180), and a power supply unit (190).

The communication unit (110) may include a short-range communication module, a location information module, an optical communication module, and a V2X communication module.

The input unit (120) may include a driving operation means, a camera, a microphone, and a user input unit.

The driving operation means receives user input for driving the vehicle (100). The driving operation means may include a steering input means, a shift input means, an acceleration input means, and a brake input means.

The acceleration input means receives an input from the user for acceleration of the vehicle (100). The brake input means receives an input from the user for deceleration of the vehicle (100).

The camera may include an image sensor and an image processing module. The camera may process still images or moving images obtained by the image sensor (e.g., CMOS or CCD). The image processing module may process still images or moving images obtained by the image sensor, extract necessary information, and transmit the extracted information to the control unit (170).

Meanwhile, the vehicle (100) may include a front camera for capturing a front view image of the vehicle, an around view camera for capturing an image surrounding the vehicle, and a rear camera for capturing an image behind the vehicle. Each camera may include a lens, an image sensor, and a processor. The processor may perform computer processing on the captured image to generate data or information, and transmit the generated data or information to the control unit (170). The processor included in the camera may be controlled by the control unit (170). In an embodiment, the camera captures a QR code attached to a parking area of an apartment building or around a parking area, for example, a floor or pillar of a parking area.

The camera may include a stereo camera. In this case, the camera's processor may use the disparity difference detected in the stereo images to detect the distance to an object, the relative velocity with respect to an object detected in the images, and the distance between multiple objects.

The camera may include a Time of Flight (TOF) camera. In this case, the camera may include a light source (e.g., infrared or laser) and a receiver. In this case, the processor of the camera may detect the distance to the object, the relative speed to the object, and the distance between multiple objects based on the time (TOF) until the infrared or laser transmitted from the light source is reflected by the object and received.

Meanwhile, the rear camera may be placed near the rear license plate or the trunk or tailgate switch, but the location where the rear camera is placed is not limited thereto.

Each image captured from multiple cameras is transmitted to the camera's processor, and the processor can synthesize each image to create an image of the vehicle's surroundings. At this time, the image of the vehicle's surroundings can be displayed as a top-view image or a bird's-eye image through the display unit.

The sensing unit (125) senses various situations of the vehicle (100). To this end, the sensing unit (125) may include a collision sensor, a wheel sensor, a speed sensor, an inclination sensor, a weight detection sensor, a heading sensor, a yaw sensor, a gyro sensor, a position module, a vehicle forward/backward sensor, a battery sensor, a fuel sensor, a tire sensor, a steering sensor by steering wheel rotation, a vehicle internal temperature sensor, a vehicle internal humidity sensor, an ultrasonic sensor, an illuminance sensor, a radar, a lidar, and the like.

Accordingly, the sensing unit (125) can obtain sensing signals for vehicle collision information, vehicle direction information, vehicle location information (GPS information), vehicle angle information, vehicle speed information, vehicle acceleration information, vehicle inclination information, vehicle forward/backward information, battery information, fuel information, tire information, vehicle lamp information, vehicle internal temperature information, vehicle internal humidity information, steering wheel rotation angle, vehicle external illumination, etc.

The memory (130) is electrically connected to the control unit (170). The memory (130) can store basic data for the unit, control data for controlling the operation of the unit, and input/output data. The memory (130) can be various storage devices such as ROM, RAM, EPROM, flash drive, hard drive, etc. in terms of hardware. The memory (130) can store various data for the operation of the entire vehicle (100), such as programs for processing or controlling the control unit (170).

The output unit (140) is for outputting information processed in the control unit (170) and may include a display unit, an audio output unit, and a haptic output unit.

The display unit can display information processed by the control unit (170). For example, the display unit can display vehicle-related information. Here, the vehicle-related information can include vehicle status information indicating the current vehicle status or vehicle operation information related to the operation of the vehicle. For example, the display unit can display the current vehicle speed (or velocity), the speed (or velocity) of surrounding vehicles, and the distance information between the current vehicle and surrounding vehicles.

Meanwhile, the display section may include a cluster so that the driver can check vehicle status information or vehicle operation information while driving. The cluster may be located on the dashboard. In this case, the driver can check the information displayed on the cluster while keeping his/her eyes on the front of the vehicle.

The audio output unit converts an electric signal from the control unit (170) into an audio signal and outputs it. For this purpose, the audio output unit may be equipped with a speaker, etc.

The vehicle drive unit (150) can control the operation of various vehicle devices. The vehicle drive unit (150) can include a power source drive unit, a steering drive unit, a brake drive unit, a lamp drive unit, an air conditioning drive unit, a window drive unit, an airbag drive unit, a sunroof drive unit, and a suspension drive unit.

The power source drive unit can perform electronic control of the power source within the vehicle (100). For example, if a fossil fuel-based engine (not shown) is the power source, the power source drive unit can perform electronic control of the engine. Accordingly, the output torque of the engine, etc. can be controlled. If the power source drive unit is an engine, the engine output torque can be limited according to the control of the control unit (170), thereby limiting the speed of the vehicle.

The brake drive unit can perform electronic control of a brake apparatus (not shown) within the vehicle (100). For example, the speed of the vehicle (100) can be reduced by controlling the operation of the brakes arranged on the wheels. As another example, the direction of travel of the vehicle (100) can be adjusted to the left or right by differently operating the brakes arranged on the left and right wheels, respectively.

The lamp driving unit can control the turning on/off of lamps placed inside and outside the vehicle. In addition, it can control the light intensity and direction of the lamp. For example, it can control turn signal lamps, brake lamps, etc.

The control unit (170) can control the overall operation of each unit in the vehicle (100). The control unit (170) can be called an ECU (Electronic Control Unit). The above-described accident presence/absence judgment device can be driven by the control unit (170).

The control unit (170) may be implemented in hardware using at least one of ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), processors, controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

In one embodiment, the control unit (170) may receive a user input corresponding to a behavioral pattern from a driver of a vehicle, and identify driver information based on the received user input by referring to a stored driver behavioral pattern model. In addition, the control unit (170) may set a driver profile based on the identified driver information, and control the vehicle according to the set driver profile.

The interface unit (180) can serve as a passageway for various types of external devices connected to the vehicle (100). For example, the interface unit (180) can be equipped with a port that can be connected to a mobile terminal (not shown), and can be connected to a mobile terminal (not shown) through the port. In this case, the interface unit (180) can exchange data with the mobile terminal.

The power supply unit (190) can supply power required for the operation of each component under the control of the control unit (170). In particular, the power supply unit (190) can receive power from a battery (not shown) inside the vehicle.

Figure 2 is a block diagram of the vehicle driving assistance system (ADAS) illustrated in Figure 1.

ADAS (200) is a vehicle driving assistance system that assists drivers to provide convenience and safety.

ADAS (200) includes an automatic emergency braking module (hereinafter, AEB: Autonomous Emergency Braking) (210), a forward collision avoidance module (hereinafter, FCW: Foward Collision Warning) (211), a lane departure warning module (hereinafter, LDW: Lane Departure Warning) (212), a lane keeping assistance module (hereinafter, LKA: Lane Keeping Assist) (213), a speed support system module (hereinafter, SAS: Speed Assist System) (214), a traffic sign detection module (TSR: Traffic Sign Recognition) (215), an adaptive high beam control module (hereinafter, HBA: High Beam Assist) (216), a blind spot monitoring module (hereinafter, BSD: Blind Spot Detection) (217), an automatic emergency steering module (hereinafter, AES: Autonomous Emergency Steering) (218), a curve speed warning system module (hereinafter, CSWS: Curve Speed Warning System) (219), and an adaptive cruise control module (hereinafter, ACC: Adaptive Cruise Control)(220), a smart parking system module (hereinafter, SPAS: Smart Parking Assist System)(221), a traffic jam assistance module (hereinafter, TJA: Traffic Jam Assist)(222), and an around view monitor module (hereinafter, AVM: Around View Monitor)(223).

Each of the above ADAS modules (210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223) may include a processor for controlling vehicle driving assistance functions.

The processor included in each of the above ADAS modules (210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223) can be controlled by the control unit (270).

Each of the above ADAS modules (210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223) processors can be implemented in hardware using at least one of ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), processors, controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

AEB (210) is a module that controls automatic braking to prevent collision with a detected object. FCW (211) is a module that controls to output a warning to prevent collision with an object in front of the vehicle. LDW (212) is a module that controls to output a warning to prevent lane departure during driving. LKA (213) is a module that controls to maintain a driving lane during driving. SAS (214) is a module that controls to drive at a set speed or lower. TSR (215) is a module that detects traffic signals during driving and provides information based on the detected traffic signals. HBA (216) is a module that controls the irradiation range or irradiation amount of high beams depending on the driving situation. BSD (217) is a module that detects objects outside the driver's field of vision during driving and provides detection information. AES (218) is a module that automatically performs steering in an emergency. CSWS (219) is a module that controls to output a path when driving at a speed higher than the preset speed during curve driving. ACC (220) is a module that controls to drive by following a preceding vehicle. SPAS (221) is a module that detects a parking space and controls to park in the parking space. TJA (222) is a module that controls to drive automatically in traffic congestion. AVM (223) is a module that provides a video of the vehicle's surroundings and controls to monitor the vehicle's surroundings.

The ADAS (200) can provide a control signal for performing each vehicle driving assistance function to the output unit (250) or the vehicle driving unit (260) based on data acquired from the input unit (230) or the sensing unit (235). The ADAS (200) can directly output the control signal to the output unit (250) or the vehicle driving unit (260) through the vehicle internal network communication (e.g., CAN). Alternatively, the ADAS (200) can output the control signal to the output unit (250) or the vehicle driving unit (260) through the control unit (270).

FIG. 3 is a schematic diagram of a device for automatically setting a driver profile of a vehicle according to one embodiment.

Referring to FIG. 3, an IVI device (300), a user terminal (310), a network (320), and a driver behavior pattern model (330) are illustrated. The IVI device (300) and the user terminal (310) are connected via a network (320). Here, the network (320) may be a network that supports short-range communication, and may be, but is not limited to, Bluetooth or NFC. The IVI device (300) is a multimedia device mounted on a vehicle, and may be a black box, a navigation system, etc. The IVI device (300) may be equipped with a driver behavior pattern model (330), and the IVI device (300) may identify driver information for user input by referring to the driver behavior pattern model (330). The driver behavior pattern model (330) may be an artificial intelligence model that machine-learns the behavior pattern of a driver of a vehicle. For example, it can include the results of learning the driver's driving habits, driving habits, vehicle control, multimedia control, and driving patterns by modeling the driver's behavior patterns in the vehicle.

In an embodiment, the IVI device (300) may receive a user input corresponding to a behavioral pattern from a driver of a vehicle, and identify driver information based on the received user input by referring to a stored driver behavior pattern model. Here, the user input may include all of information and control inputs of various users in the vehicle, as illustrated in FIG. 8. Then, a driver profile may be set based on the identified driver information, and the vehicle may be controlled according to the set driver profile. Here, controlling the vehicle may include driver setting control, vehicle control, convenience function control, etc. In addition, the driver profile may include, but is not limited to, user information, seat setting information, driving information, address book information, phone function information, multimedia information, etc.

In an embodiment, the IVI device (300) can automatically set a driver profile of a vehicle using short-range communication. The IVI device (300) forms a network with a user terminal (310) of a driver riding in a vehicle through short-range communication, receives driver profile information from the user terminal (310), and sets a driver profile of the vehicle according to the received driver profile information. Here, when a network is formed between the IVI device (300) and the user terminal (310), a vehicle application can be executed in the user terminal (310). At this time, user information previously input through the vehicle application can be automatically extracted and transmitted to the IVI device (300).

In an embodiment, the IVI device (300) may also identify driver information by referencing driver behavior patterns based on user information transmitted from a user terminal.

In an embodiment, the IVI device (300) may display a driver profile received from a user terminal (310) on the display, as illustrated in FIG. 5. When a driver or user checks or selects a driver profile displayed on the display, driver setting control, vehicle control, convenience function control, etc. of the vehicle may be changed according to the checked or selected driver profile. Here, the driver profile may include user information, seat position setting information, driving information, address book information, phone function information, multimedia information, etc.

In an embodiment, the IVI device (300) may form a network with a user terminal to which priority is given when multiple user terminals (310) exist in the vehicle. For example, a network may be formed with a user terminal in the driver's seat with priority given to the user terminal.

An IVI device (300) according to an embodiment can display a set driver profile on a display of a vehicle and control at least one of driver setting control, vehicle control, and convenience function control according to a selection for the displayed driver profile.

FIG. 4 is a schematic diagram of the IVI device (300) or vehicle infotainment device (300) illustrated in FIG. 3.

As illustrated in FIG. 4, the vehicle infotainment device (400) may include a sensing unit (410), a control unit (420), an output unit (430), an A/V input unit (440), and a memory (450). However, not all of the illustrated components are essential components. The vehicle infotainment device (400) may be implemented with more components than the illustrated components, or may be implemented with fewer components.

The sensing unit (410) may include at least one of a magnetic sensor (411), an acceleration sensor (412), a temperature/humidity sensor (613), an infrared sensor (414), a gyroscope sensor (415), a position sensor (e.g., GPS) (416), a pressure sensor (417), a proximity sensor (418), and an RGB sensor (illuminance sensor) (419), but is not limited thereto. Since the function of each sensor can be intuitively inferred from its name by those skilled in the art, a detailed description thereof will be omitted.

The control unit (420) typically controls the overall operation of the vehicle infotainment device (400). For example, the control unit (420) can control the sensing unit (410), the output unit (430), the A/V input unit (440), and the memory (450) by executing programs stored in the memory (450).

The control unit (420) can receive user input corresponding to a behavioral pattern from the driver of the vehicle as described with reference to FIG. 3, and identify driver information based on the received user input by referring to the stored driver behavior pattern model. Then, a driver profile can be set based on the identified driver information, and the vehicle can be controlled according to the set driver profile.

The output unit (430) is for performing an operation determined by the control unit (420), and may include a display unit (431) and an audio output unit (432).

The audio output unit (432) outputs audio data. In addition, the audio output unit (432) outputs an audio signal related to a function (e.g., a notification sound) performed in the device (400). The audio output unit (332) may include a speaker, a buzzer, etc.

The A/V (Audio/Video) input unit (440) is for inputting audio signals or video signals, and may include a camera (441) and a microphone (442), etc. The camera (441) can obtain image frames, such as still images or moving images, through an image sensor in a video call mode or a shooting mode. An image captured through the image sensor can be processed through a control unit (420) or a separate image processing unit (not shown).

The image frame processed by the camera (441) may be stored in the memory (450) or transmitted externally through a communication unit (not shown). The microphone (442) receives an external sound signal and processes it into electrical voice data. For example, the microphone (442) may receive a user's voice input. The microphone (442) may utilize various noise removal algorithms to remove noise generated in the process of receiving an external sound signal.

The memory (450) may store a program for processing and controlling the control unit (420), and may store input/output data. In addition, the memory (450) may store vehicle information received from the vehicle control device, such as vehicle speed, engine RPM, etc. In an embodiment, the memory (450) may store a driver behavior pattern model. Here, the driver behavior pattern model may be an artificial intelligence model that machine-learns the behavior pattern of the driver of the vehicle.

The memory (450) according to one embodiment can store multiple operating systems. In addition, the memory (450) can store applications that are executed in each of the multiple operating systems. In addition, the memory (450) can store a graphical user interface program to be displayed on the display of the cluster.

Programs stored in memory (450) can be classified into multiple modules according to their functions, for example, a UI module (451) and a touch screen module (452).

Various sensors may be provided inside or near the touchscreen to detect touch or proximity touch of the touchscreen. An example of a sensor for detecting touch of the touchscreen is a tactile sensor. A tactile sensor is a sensor that detects contact of a specific object to a degree or greater than that felt by a human. A tactile sensor can detect various information such as the roughness of a contact surface, the hardness of a contact object, and the temperature of a contact point. In addition, a proximity sensor is an example of a sensor for detecting touch of the touchscreen.

Figure 6 is a flow chart for explaining a method for automatically setting a driver profile of a vehicle.

Referring to FIG. 6, in step 600, a user input corresponding to a behavior pattern is received from a driver of a vehicle. Here, the user input may be input once or multiple times, and may include all user inputs including vehicle control, driving control, multimedia device control, air conditioning control, seat control, etc.

In step 602, driver information is identified based on user input by referring to a driver behavior pattern model. Here, the driver behavior pattern model may be an artificial intelligence model that has been learned and stored in advance.

In step 604, a driver profile is set up based on the identified driver information.

At step 604, the vehicle is controlled according to the set driver profile.

Figure 7 is a schematic diagram of the user terminal (310) illustrated in Figure 3.

Referring to FIG. 7, the user terminal may include a control unit (700), a communication unit (710), and an output unit (740). However, not all of the illustrated components are essential components. The user terminal may be implemented with more components than the illustrated components, or may be implemented with fewer components.

For example, a user terminal according to one embodiment may further include a user input unit (740), a sensing unit (750), an A/V input unit (760), and a memory (770) in addition to a control unit (700), a communication unit (710), and an output unit (730).

Below we will look at the above components in turn.

The control unit (700) typically controls the overall operation of the user terminal. For example, the control unit (700) can control the communication unit (710), the output unit (730), the user input unit (740), the sensing unit (750), the A/V input unit (760), and the memory (770) by executing programs stored in the memory (770).

The communication unit (710) may include one or more components that enable communication between a user terminal and a server (not shown). For example, the communication unit (710) may include a short-range communication unit (711), a mobile communication unit (712), and a broadcast receiving unit (713).

The short-range wireless communication unit (721) may include, but is not limited to, a Bluetooth communication unit, a BLE (Bluetooth Low Energy) communication unit, a Near Field Communication unit, a WLAN (Wi-Fi) communication unit, a Zigbee communication unit, an IrDA (infrared Data Association) communication unit, a WFD (Wi-Fi Direct) communication unit, a UWB (ultra wideband) communication unit, an Ant+ communication unit, etc. The mobile communication unit (712) transmits and receives a wireless signal with at least one of a base station, an external terminal, and a server on a mobile communication network. Here, the wireless signal may include various forms of data according to a voice call signal, a video call call signal, or a text/multimedia message transmission and reception. The broadcast receiving unit (713) receives a broadcast signal and/or broadcast-related information from the outside through a broadcast channel. The broadcast channel may include a satellite channel and a terrestrial channel. Depending on the implementation example, the user terminal may not include a broadcast receiving unit (713).

The output section (730) displays information related to the stress index.

The output unit (730) is for outputting an audio signal, a video signal, or a vibration signal, and may include a display unit (731), an audio output unit (732), and a vibration motor (733), etc. The display unit (731) may include, but is not limited to, a key pad, a dome switch, a touch pad (contact electrostatic capacitance type, pressure resistive film type, infrared detection type, surface ultrasonic conduction type, integral tension measurement type, piezo effect type, etc.), a jog wheel, a jog switch, etc.

Meanwhile, the display unit (731) may be configured as a touch screen with a touchpad having a layered structure. The display unit (731) may include at least one of a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, a 3D display, and an electrophoretic display. In addition, depending on the implementation form of the user terminal, the user terminal may include two or more display units (731).

The audio output unit (732) outputs audio data received from the communication unit (710) or stored in the memory (770). In addition, the audio output unit (731) outputs audio signals related to functions performed in the user terminal (e.g., call signal reception sound, message reception sound, notification sound). The audio output unit (732) may include a speaker, a buzzer, etc.

The vibration motor (733) can output a vibration signal. For example, the vibration motor (733) can output a vibration signal corresponding to the output of audio data or video data (e.g., a call signal reception sound, a message reception sound, etc.). In addition, the vibration motor (733) can also output a vibration signal when a touch is input to the touch screen.

The user input unit (740) refers to a means for a user to input data for controlling the user terminal (110). For example, the user input unit (740) may include, but is not limited to, a key pad, a dome switch, a touch pad (contact electrostatic capacitance type, pressure resistive film type, infrared detection type, surface ultrasonic conduction type, integral tension measurement type, piezo effect type, etc.), a jog wheel, a jog switch, etc.

The sensing unit (750) can detect the status of the user terminal or the status around the user terminal and transmit the detected information to the control unit (700).

Meanwhile, the sensing unit (750) may include at least one of a magnetic sensor (751), an acceleration sensor (752), a temperature/humidity sensor (753), an infrared sensor (754), a gyroscope sensor (755), a position sensor (e.g., GPS) (756), a pressure sensor (757), a proximity sensor (758), and an RGB sensor (illuminance sensor) (759), but is not limited thereto. Since the function of each sensor can be intuitively inferred from its name by those skilled in the art, a detailed description thereof will be omitted.

The A/V (Audio/Video) input unit (760) is for inputting audio signals or video signals, and may include a camera (761) and a microphone (762), etc. The camera (761) can obtain image frames, such as still images or moving images, through an image sensor in a video call mode or a shooting mode. An image captured through the image sensor can be processed through a control unit (700) or a separate image processing unit (not shown).

The image frame processed by the camera (761) may be stored in the memory (770) or transmitted externally through the communication unit (710). Two or more cameras (761) may be provided depending on the configuration of the user terminal.

The microphone (762) receives an external sound signal and processes it into electrical voice data. For example, the microphone (762) can receive an sound signal from an external device or a speaker. The microphone (762) can use various noise removal algorithms to remove noise generated in the process of receiving an external sound signal.

The memory (770) may store a program for processing and controlling the control unit (700) and may also store input/output data.

The memory (770) may include at least one type of storage medium among a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, an SD or XD memory, etc.), a RAM (Random Access Memory), a SRAM (Static Random Access Memory), a ROM (Read-Only Memory), an EEPROM (Electrically Erasable Programmable Read-Only Memory), a PROM (Programmable Read-Only Memory), a magnetic memory, a magnetic disk, and an optical disk. In addition, the device (100) may operate a web storage or cloud server that performs the storage function of the memory (170) on the internet.

Programs stored in memory (770) can be classified into multiple modules according to their functions, for example, a UI module (771), a touch screen module (772), a notification module (773), etc.

The UI module (771) can provide a specialized UI, GUI, etc. that are linked with the user terminal for each application. The touch screen module (772) can detect a touch gesture on the user's touch screen and transmit information about the touch gesture to the control unit (700). The touch screen module (772) according to one embodiment of the present invention can recognize and analyze a touch code. The touch screen module (772) can also be configured as separate hardware including a controller.

Various sensors may be provided inside or near the touchscreen to detect touch or proximity touch of the touchscreen. An example of a sensor for detecting touch of the touchscreen is a tactile sensor. A tactile sensor is a sensor that detects contact with a specific object to a degree or greater than that felt by a human. A tactile sensor can detect various information such as the roughness of the contact surface, the hardness of the contact object, and the temperature of the contact point.

Also, there is a proximity sensor as an example of a sensor for detecting touch on a touchscreen.

A proximity sensor is a sensor that detects the presence or absence of an object approaching a predetermined detection surface or an object existing nearby without mechanical contact by using the force of an electromagnetic field or infrared rays. Examples of proximity sensors include a transmission-type photoelectric sensor, a direct reflection-type photoelectric sensor, a mirror reflection-type photoelectric sensor, a high-frequency oscillation-type proximity sensor, a capacitive proximity sensor, a magnetic proximity sensor, and an infrared proximity sensor. User touch gestures may include tap, touch and hold, double tap, drag, pan, flick, drag and drop, and swipe.

The notification module (773) can generate a signal to notify of an event occurrence in the user terminal. Examples of events occurring in the user terminal include reception of a call signal, reception of a message, input of a key signal, and schedule notification. In addition, as an example of an event occurring in the user terminal, a signal can be generated to notify that a user input has been received based on a haptic signal generated based on a user input received in the display unit (731).

The notification module (773) may output a notification signal in the form of a video signal through the display unit (731), may output a notification signal in the form of an audio signal through the audio output unit (732), or may output a notification signal in the form of a vibration signal through the vibration motor (733).

The present embodiments may also be implemented in the form of a recording medium containing computer-executable instructions, such as program modules, executed by a computer. Computer-readable media can be any available media that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. Additionally, computer-readable media can include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. Communication media typically includes computer-readable instructions, data structures, other data in a modulated data signal, such as program modules, or other transport mechanisms, and includes any information delivery media.

Additionally, in this specification, a “part” may be a hardware component such as a processor or a circuit, and/or a software component executed by a hardware component such as a processor.

The description of the present specification above is for illustrative purposes, and those skilled in the art will understand that the contents of the present specification can be easily modified into other specific forms without changing the technical idea or essential features of the present invention. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive. For example, each component described as a single component may be implemented in a distributed manner, and likewise, components described as distributed may be implemented in a combined form.

The scope of the present embodiment is indicated by the claims described below rather than the detailed description, and should be interpreted to include all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts.

Claims (12)

A method for automatically setting a driver profile of a vehicle based on driver behavior patterns,
A step of receiving user input corresponding to a behavioral pattern from a driver of a vehicle;
A step of identifying driver information based on the received user input by referring to a pre-stored driver behavior pattern model;
A step of setting a driver profile based on the above identified driver information; and
A method for automatically setting a driver profile of a vehicle, comprising a step of controlling the vehicle according to the set driver profile. In paragraph 1,
The above pre-stored driver behavior pattern model is,
A method for automatically setting a driver profile of a vehicle, characterized in that the artificial intelligence model machine-learns the behavioral pattern of the driver of the vehicle. In paragraph 1,
Further comprising a step of communicating with a user terminal via a short-range communication network including Bluetooth or NFC,
A method for automatically setting a driver profile of a vehicle, characterized in that the identified driver information is verified based on the user information transmitted from the user terminal. In paragraph 1,
Further comprising the step of displaying the above-set driver profile on the display of the vehicle;
A method for automatically setting a driver profile of a vehicle, characterized in that at least one of driver setting control, vehicle control and convenience function control is controlled according to a selection for the driver profile displayed above. In paragraph 1,
The above driver profile is,
A method for automatically setting a driver profile of a vehicle, characterized in that it includes at least one of user information, seat setting information, driving information, address book information, phone function information, and multimedia information. A recording medium recording a program for executing a method for automatically setting a driver profile of a vehicle according to any one of claims 1 to 5 on a computer. In a device for automatically setting a driver profile of a vehicle based on driver behavior patterns,
A storage unit storing a driver behavior pattern model; and
Contains a processor,
The above processor,
Receive user input corresponding to a behavioral pattern from the driver of the vehicle,
By referring to the above stored driver behavior pattern model, driver information is identified based on the received user input,
Set up a driver profile based on the above identified driver information,
A device for automatically setting a driver profile of a vehicle, which controls the vehicle according to the above-described set driver profile. In paragraph 7,
The above pre-stored driver behavior pattern model is,
A device for automatically setting a driver profile of a vehicle, characterized in that it is an artificial intelligence model that machine-learns the behavioral pattern of the driver of the vehicle. In paragraph 7,
Further comprising a short-range communication unit that communicates with the user terminal via a short-range communication network including Bluetooth or NFC,
The above processor,
A device for automatically setting a driver profile of a vehicle, characterized in that it verifies the identified driver information based on the user information transmitted from the user terminal. In paragraph 7,
Further comprising a display unit for displaying the above-set driver profile on the display of the vehicle;
The above processor,
A device for automatically setting a driver profile of a vehicle, characterized in that it controls at least one of driver setting control, vehicle control, and convenience function control according to a selection for the driver profile displayed above. In paragraph 7,
The above driver profile is,
A device for automatically setting a driver profile of a vehicle, characterized in that it includes at least one of user information, seat setting information, driving information, address book information, phone function information, and multimedia information. A vehicle infotainment system comprising a device for automatically setting a driver profile of a vehicle according to any one of claims 7 to 11.

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