KR20200080376A - Vehicle and control method for the same - Google Patents

Abstract

The present invention provides a vehicle capable of detecting the state of an infant in the vehicle to inform a guardian and providing appropriate measure, and a control method thereof. According to an embodiment of the present invention, a vehicle comprises: a plurality of sensors provided in detachable car seat and the vehicle, and detecting a plurality of signals generated from an infant seated in the car seat to obtain a plurality of detection data; a storage unit for storing correlation data between the plurality of detection data and infant state information; a control unit for applying a weight to the plurality of detection data acquired by the plurality of sensors, searching for the correlation data, and extracting the infant state information matching the plurality of detection data to which the weight is applied; and a user interface device which outputs the infant state information.

Description

Vehicle and its control method{VEHICLE AND CONTROL METHOD FOR THE SAME}

The present invention relates to a vehicle and a control method capable of identifying an infant's condition on a vehicle and informing a guardian and providing appropriate measures.

When an infant is boarded in a vehicle, an infant car seat is generally installed in the rear seat of the vehicle, and the infant is seated in the car seat. However, the driver cannot look at the back seat while driving, and the guardian who has boarded the front seat of the vehicle also has a problem to look at the back seat. Therefore, when an abnormality occurs in the infant in the rear seat while the vehicle is driving, it is difficult for the guardian of the front seat to notice a problem occurring in the infant and to take appropriate measures for the infant.

As a result, technologies are emerging to identify the condition of the infant in the back seat and inform the guardian. However, the prior art is limited in accurately grasping the condition of the infant.

Provided is a vehicle capable of accurately grasping the state of an infant and a control method thereof by applying a weight in processing the sensed data acquired by a plurality of sensors and searching for infant state information associated with the sensed data.

In addition, a vehicle capable of properly adjusting a vehicle function in response to a toddler's condition and a control method thereof are provided.

A vehicle according to an embodiment includes a detachable car seat and a plurality of sensors that are provided inside the vehicle and acquire a plurality of detection data by sensing a plurality of signals generated from an infant seated in the car seat; A storage unit for storing relational data between the plurality of sensed data and infant state information; A control unit that applies weights to the plurality of sensed data obtained by the plurality of sensors, searches the relevance data, and extracts the infant state information matching the plurality of sensed data to which the weights are applied; And a user interface device that outputs the infant status information.

The control unit may extract the sensing data associated with the first acquired sensing data among the plurality of sensing data acquired for a predetermined period of time and apply the weight to the plurality of sensing data.

The control unit may apply the largest weight to the first acquired sensing data among the plurality of sensing data.

The plurality of sensors is a pressure sensor for detecting the pressure caused by the movement of the infant, a temperature sensor for detecting a temperature change due to the bowel movement of the infant, a heart rate sensor for measuring the heart rate of the infant, and detecting the crying of the infant It may include at least one of a sound sensor and an imaging sensor for photographing the expression and gesture of the infant.

The infant state information may include at least one of a hungry state, a sleepy state, a sick state, a bored state, and a defecated state.

The vehicle according to an embodiment may further include a driving unit that executes a functional element of the vehicle, and the control unit may control the driving unit of the vehicle so that the functional element is adjusted based on the infant state information.

The functional element may include at least one of a driving assistance system, an air conditioning system, an AVN system, and a lighting system.

The controller may obtain the infant emotion information based on the plurality of sensed data, and extract the infant state information by reflecting the emotion information.

The controller may update the relevance data based on a plurality of sensed data acquired by the plurality of sensors and the matched infant state information.

The control method of the vehicle according to an embodiment uses a detachable car seat and a plurality of sensors provided inside the vehicle to detect a plurality of signals generated from an infant seated in the car seat and obtain a plurality of detection data step; Applying a weight to the plurality of sensed data obtained by the plurality of sensors; Searching for relevance data between the plurality of sensed data and the infant state information, and extracting the infant state information matching the plurality of sensed data to which the weight is applied; And outputting the infant status information through a user interface device.

The applying of the weight may include extracting detection data associated with the first acquired detection data among the plurality of detection data acquired for a predetermined period of time and applying the weight to the plurality of detection data. have.

The applying of the weight may include applying the largest weight to the first acquired sensing data among the plurality of sensing data.

The plurality of sensors is a pressure sensor for detecting the pressure caused by the movement of the infant, a temperature sensor for detecting a temperature change due to the bowel movement of the infant, a heart rate sensor for measuring the heart rate of the infant, and detecting the crying of the infant It may include at least one of a sound sensor and an imaging sensor for photographing the expression and gesture of the infant.

The infant state information may include at least one of a hungry state, a sleepy state, an uncomfortable state, a bored state, and a defecated state.

The method for controlling a vehicle according to an embodiment may further include controlling a driving unit that executes the functional element so that a functional element of the vehicle is adjusted based on the infant state information.

The functional element may include at least one of a driving assistance system, an air conditioning system, an AVN system, and a lighting system.

The step of extracting the infant state information may include obtaining the infant emotion information based on the plurality of sensed data and extracting the infant state information by reflecting the emotion information.

The method for controlling a vehicle according to an embodiment may further include updating the relevance data based on a plurality of sensed data acquired by the plurality of sensors and the matched infant state information.

According to a vehicle and a control method according to an aspect, it is possible to accurately grasp an infant's state by applying a weight in processing sensing data obtained by a plurality of sensors and searching for infant state information associated with the sensing data.

In addition, according to the vehicle and its control method according to one aspect, it is possible to appropriately adjust the function of the vehicle in response to the infant's condition.

1 shows the interior of a vehicle according to an embodiment.
2 illustrates a child car seat according to an embodiment.
3 is a control block diagram of a vehicle according to an embodiment.
4 is a view for explaining the relational data between the sensed data and the infant state information.
5 is a diagram for explaining a correlation between sensed data and emotions.
6 is a diagram for explaining an emotion model used for obtaining emotion information.
7 is a flowchart illustrating a method of controlling a vehicle according to an embodiment.

The same reference numerals refer to the same components throughout the specification. This specification does not describe all elements of the embodiments, and overlaps between general contents or embodiments in the technical field to which the present invention pertains are omitted.

Throughout the specification, when a part is "connected" to another part, this includes not only a direct connection but also an indirect connection, and an indirect connection includes connecting through a wireless communication network. do.

In addition, when a part is said to “include” a certain component, this means that other components may be further included instead of excluding other components, unless otherwise stated.

Singular expressions include plural expressions, unless the context clearly has an exception.

In addition, terms such as "~ unit", "~ group", "~ block", "~ member", and "~ module" may refer to a unit that processes at least one function or operation. For example, the terms may mean at least one process processed by at least one hardware, at least one software or processor stored in memory, such as a field-programmable gate array (FPGA) / application specific integrated circuit (ASIC). have.

The sign attached to each step is used to identify each step, and these signs do not indicate the order of each step, and each step is executed differently from the order specified unless a specific order is clearly stated in the context. Can be.

Hereinafter, exemplary embodiments of a vehicle and a control method according to an aspect will be described in detail with reference to the accompanying drawings.

1 is a view showing the interior of a vehicle 1 according to an embodiment. 2 illustrates a child car seat according to an embodiment.

Referring to FIG. 1, inside the vehicle 1, a driver seat 11 in which a driver of the vehicle 1 can sit and an auxiliary seat 12 in which a rider of the vehicle 1 can seat may be provided. In addition, a rear seat 13 in which another occupant can be seated may be provided inside the vehicle 1.

Meanwhile, an imaging sensor 250 may be provided inside the vehicle 1. The imaging sensor 250 may acquire an image of the occupant by photographing an occupant who has boarded the vehicle 1 and generate image data. The imaging sensor 250 may be a camera. In FIG. 1, the imaging sensor 250 is illustrated as being installed on the headrest of the auxiliary seat 12, but the imaging sensor 250 may be installed on a dashboard, windshield or seat, and the like, and the number and location of installation. There is no limit to.

The imaging sensor 250 may photograph facial expressions and gestures of an infant riding the vehicle 1. The imaging sensor 250 installed on the headrest of the auxiliary seat 12 may photograph facial expressions and gestures of an infant seated on the rear seat 13 of the vehicle 1. In addition, the imaging sensor 250 installed on the windshield or dashboard of the vehicle 1 may photograph the facial expressions and gestures of an infant seated in the auxiliary seat 12.

A display 141 capable of providing specific content to a passenger seated in the back seat 13 may be provided on the back of the auxiliary seat 12. In addition, a speaker 142 may be provided in the vehicle 1. Accordingly, the occupant seated in the rear seat 13 can watch the content output from the display 141 and the speaker 142. The display 141 and the speaker 142 may be provided at various positions in the vehicle 1. Meanwhile, the display 141 and the speaker 142 may be included in the user interface device 140.

A car seat 110 may be installed on the seats 12 and 13 of the vehicle 1. For example, the car seat 110 may be detachably attached to the rear seat 13 of the vehicle 1. In addition, the car seat 110 may include a plurality of sensors. The plurality of sensors installed in the car seat 110 may acquire a detection data by sensing a signal generated from an infant.

Referring to FIG. 2, the car seat 110 includes a pressure sensor 210 that senses pressure caused by the infant's movement, a temperature sensor 220 that senses temperature changes due to infant's bowel movement, and a heart rate that measures the heart rate of the infant. It may include at least one of the sensor 230, a sound sensor 240 for detecting the crying of an infant. The sound sensor 240 may be a microphone. These sensors may be installed at various locations inside the vehicle 1 in addition to being installed in the car seat 110. In addition, the sensors are not limited to those described above, and all sensors capable of measuring or collecting a human bio signal may be included.

3 is a control block diagram of a vehicle according to an embodiment.

Referring to FIG. 3, the vehicle 1 includes a communication unit 120, a storage unit 130, a user interface device 140, a driving unit 150, a sensing unit 200, and a control unit 300.

First, the communication unit 120 may communicate with an external device to transmit and receive data. Specifically, the communication unit 120 receives content, age-specific body information, correlation data between sensed data and infant state information, correlation information between sensed data and emotions, correlation information between facial expressions and emotions, and an emotion model from an external device. can do.

The communication unit 120 may communicate with an external device using various methods. The communication unit 120 includes vehicle-to-vehicle (V2V) communication, Wi-Fi, wireless local area network (WLAN), ultra-mobile broadband (UMB), GPS, and long term evolution (LTE) Data can be transmitted/received to/from an external device using a communication technology. The method is not limited thereto, and any method that can communicate with an external device may be applied.

The storage unit 130 may store content, age-specific body information, relevance data between sensed data and infant state information, correlation information between sensed data and emotions, correlation information between facial expressions and emotions, and emotion models. Various data related to the operation of 1) can be saved.

Storage unit 130, such as cache, ROM (Read Only Memory), PROM (Programmable ROM), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM) and flash memory to store various information A non-volatile memory device or a volatile memory device such as random access memory (RAM) or a hard disk drive (HDD) or a storage medium such as a CD-ROM may be implemented, but is not limited thereto.

The user interface device 140 is an input/output device for performing an audio function, a video function, a navigation function, and various functions of the vehicle 1. The user interface device 140 may include an input unit for receiving operation commands of various functions, and may include an output unit for outputting information on a function being executed and information input by the user. The user interface device 140 may be an AVN device.

The control unit 300 may control the driving unit 150 such that various functions of the vehicle 1 are executed according to a command input through the user interface device 140. 1, the user interface device 140 may be installed on a dashboard.

Meanwhile, the input unit may be provided at a center fascia installed in the center of the dashboard, and may be implemented using a physical button, a knob, a touch pad, a touch screen, a stick-type manipulation device, or a trackball. The location and implementation method of the input unit is not limited to the above example, and may be included without limitation as long as it is a location and implementation method capable of receiving user input.

The user interface device 140 may include a display. The display can be implemented with various panels. For example, the display panel may be a light emitting diode (LED) panel, an organic light emitting diode (OLED) panel, or a liquid crystal display panel, and may be implemented as a touch panel. . When the user interface device 140 is implemented as a touch panel, functions of both an input unit and an output unit may be performed by the touch panel.

In addition, the user interface device 140 may include a speaker capable of outputting infant status information as an audio signal.

The driving unit 150 executes or drives various functional elements of the vehicle 1. For example, the functional element of the vehicle 1 may include at least one of a driving assistance system (DAS), an air conditioning system, an audio video navigation (AVN) system, and a lighting system.

In other words, the control unit 300 may control the driving unit 150 to adjust functional elements such as a driving assistance system (DAS), an air conditioning system, an audio video navigation (AVN) system, and a lighting system.

Driving assistance systems include Lane Departure Warning (LDW), Lane Keeping Assist (LKA), High Beam Assist (HBA), Autonomous Emergency Braking (AEB), and traffic sign recognition (Traffic Sign Recognition, TSR), Smart Cruise Control (SCC), Blind Spot Detection (BSD), and a driving mode change system.

The driving mode changing system is a system for changing the driving mode of the vehicle 1 including a manual driving mode, an autonomous driving mode, a sports mode, a comfort mode, an eco mode, and the like. The air conditioning system of the vehicle 1 is a system for controlling the temperature inside the vehicle 1 or circulating air inside the vehicle 1. Further, the lighting system is a system for controlling the lighting inside the vehicle 1.

In addition, the functional elements of the vehicle 1 can include a safety system. The safety system of the vehicle 1 includes an airbag system for the safety of the occupant, such as a driver in the event of a vehicle collision, and a vehicle attitude control system that stably maintains the vehicle's attitude when accelerating or cornering the vehicle.

The sensing unit 200 includes a pressure sensor 210 that senses pressure caused by infant movement, a temperature sensor 220 that senses temperature change due to infant defecation, and a heart rate sensor 230 that measures infant heart rate, It may include a sound sensor 240 for detecting the crying of an infant, an imaging sensor 250 for acquiring the image of the occupant by photographing the occupant in the vehicle 1 and generating image data. In particular, the imaging sensor 250 may photograph the facial expressions and gestures of an infant boarding the vehicle 1 and generate image data.

Also, a plurality of sensors included in the sensing unit 200 may be installed at various locations in the vehicle 1. For example, a plurality of sensors may be provided on the seats 11, 12, 13 and seat belts (not shown).

The sensor that may be included in the sensing unit 200 is not limited thereto, and various sensors may be included. For example, an electrical skin response (GSR) sensor that measures the electrical conductivity of the skin, a skin temperature sensor that measures the skin temperature of a passenger, an electroencephalogram (EEG) sensor that measures the brain waves, and pupils An eye tracker or the like that can track the position of the vehicle may be provided inside the vehicle 1.

When an infant is seated in the car seat 110 installed in the vehicle 1, a plurality of sensors 210, 220, 230, 240, and 250 included in the detection unit 200 detects a signal generated from the infant and detects the detection data. Can be obtained.

Hereinafter, the control unit 300 will be described in detail with reference to FIGS. 4 to 6.

4 is a view for explaining the relational data between the sensed data and the infant state information.

First, the controller 300 may include one or more processors and memory. The memory may store algorithm data or programs for controlling the vehicle 1, and the processor may transmit control signals for controlling various devices of the vehicle 1 according to the control algorithm. Further, the processor may execute a program for the operation of the vehicle 1. The memory and the processor included in the controller 300 may be integrated on one chip, or physically separated.

Referring to FIG. 3, the control unit 300 may include a detection data processing unit 310, an infant state determination unit 320, and a driving control unit 330.

The sensing data processing unit 310 processes the sensing data acquired by the sensing unit 200. Specifically, the sensing data processing unit 310 applies weights to the plurality of sensing data obtained by the plurality of sensors 210, 220, 230, 240, 250.

The sensing data processing unit 310 may extract the sensing data associated with the sensing data first acquired from the plurality of sensing data acquired for a predetermined period of time, and apply a weight to the plurality of sensing data. Also, the sensing data processing unit 310 may apply the largest weight to the sensing data that is first acquired among the plurality of sensing data.

Applying a weight to the initial detection data may also be interpreted as performing a primary classification process based on the initial detection data. That is, the primary classification is performed in the Decision Tree based on the initial detection data, and then, after the detailed classification is additionally performed by the data, data after the initial data may depend on the initial data.

The sensing data processing unit 310 may apply a weight to the plurality of sensing data by referring to the relationship data between the plurality of sensing data stored in the storage 130 and the infant state information. In addition, the weight applied to the plurality of detection data is not limited to that shown in FIG. 4, and may be variously set.

For example, when a process of acquiring detection data for determining a state of an infant is initiated, the yawning facial expression and a gesture of rubbing the face of the infant may be first detected by the imaging sensor 250. Thereafter, the infant's low and small crying data may be detected by the sound sensor 240. In addition, a small movement of the infant may be detected by the pressure sensor 210.

In this case, the sensing data processing unit 310 may extract low and small crying data of the infant as sensing data associated with the infant's yawning facial expression that is the first acquired sensing data and gesture data rubbing the face. It can be said that the small movement data of the infant sensed by the pressure sensor 210 is relatively low in relation to the infant's yawning facial expression and face rubbing gesture data.

Therefore, as shown in FIG. 4, the sensing data processing unit 310 applies a weight of 60% to the yawn yawning facial expressions and the gesture data rubbing the face of the infant, which are the first sensed data, and the low and small cry data. A weight of 40% can be applied.

For another example, an increase in the temperature of the sheet may be detected initially by the temperature sensor 220. Subsequently, a facial expression that becomes pale or red may be detected by the imaging sensor 250, and a whirring sound (relatively low frequency and low decibel sound) may be detected by the sound sensor 240. In addition, an increase in the heart rate of the infant may be detected by the heart rate sensor 230, and a small movement of the infant may be detected by the pressure sensor 210.

In this case, the sensing data processing unit 310 extracts the facial expression data that becomes pale or red, the crying data, and the heart rate increase data that are associated with sheet temperature increase data, which is the first acquired sensing data. Can. It can be said that the small movement data of the infant sensed by the pressure sensor 210 is relatively low in relation to the sheet temperature increase data.

Therefore, as shown in FIG. 4, the sensing data processing unit 310 is 50% in the sheet temperature increase data, which is the first sensing data, 30% in the facial expression data that becomes pale or red, and cries data and A 10% weight can be applied to the heart rate increase data.

The infant state determination unit 320 may search for relevance data between the plurality of sensed data stored in the storage 130 and the infant state information to extract infant state information matching the weighted plurality of sensed data.

The driving control unit 330 may control the driving unit 150 such that a functional element of the vehicle 1 is adjusted based on the extracted infant condition information.

For example, the infant state determination unit 320 is the infant state information that matches the yawning facial expressions and face rubbing gesture data of the 60% weighted infant and the low and small crying data applied with the weight of 40%. Sleepy'. The user interface device 140 may output that the infant is in a'sleepy state'. The guardian can promptly receive status information of the infant output through the user interface device 140, and can take appropriate measures accordingly.

The driving control unit 330 may generate a control signal for the air conditioning system among the functional elements of the vehicle 1 and transmit it to the driving unit 150 to adjust the temperature inside the vehicle 1 to a temperature suitable for bedtime. In addition, the driving control unit 330 may generate a control signal for the lighting system to darken the lighting inside the vehicle 1 and transmit it to the driving unit 150. The driving unit 150 receives the control signal for the air conditioning system to operate the air conditioning system, and receives the control signal for the lighting system to operate the lighting system.

4, the infant state information is shown to include a hungry state, a sleepy state, a sick state, a bored state, and a defecated state, but the type of the infant state information is not limited thereto. That is, infant status information may include various information.

Meanwhile, the relationship data between the plurality of detection data stored in the storage unit 130 and the infant state information is data learned based on a number of data. The controller 300 may update the relevance data using a plurality of sensed data acquired by a plurality of sensors and matching infant state information.

For example, the relationship data between the plurality of detection data stored in the storage 130 and the infant state information may not include the infant state information that exactly matches the plurality of sensed data actually measured. Therefore, in order to more accurately determine the state of the infant, there is a need to update the relevance data between the plurality of sensing data and the infant state information.

Meanwhile, the user may input infant state information corresponding to a plurality of sensed data actually measured through the user interface device 140, and accordingly, the relationship data between the plurality of sensed data and the infant state information may be updated.

The infant state determination unit 320 may acquire infant emotion information based on a plurality of sensed data and extract infant state information by reflecting the acquired emotion information. In other words, the relevance data between the plurality of sensed data and the infant state information may include relevance data between the plurality of sensed data-infant emotion information-infant state information.

5 is a diagram for explaining a correlation between sensed data and emotional factors.

Referring to FIG. 5, correlation information 500 between crying sounds, EEG and facial expressions and emotion factors sensed by the sound sensor 240 is illustrated.

As for the crying sound, correlation values with disgusting emotional factors or anger emotional factors are 0.875 and 0.775, respectively, and it can be seen that it has a high relationship with disgusting emotional factors or angry emotional factors. Therefore, the crying of the infant collected by the sound sensor 240 is the basis for determining that the infant's feelings are angry or disgusting. In the case of a joyful emotional factor, since the correlation value with the crying sound is relatively low (0.353), it can be said that the joyful emotional factor has little relation to the crying sound.

EEG(Electroencephalogram) signal has correlation value with Anger emotion factor or Fear emotion factor of 0.864 and 0.878, respectively, and it has higher correlation with angry emotion factor or fearful emotion factor than other emotion factors. Able to know. Therefore, the sensing data collected by the EEG measuring device (not shown) is the basis for determining that the infant's emotions are angry or fearful emotions.

In addition, referring to FIG. 5, the expression value 1 obtained by the imaging sensor 250 shows correlation values of anger emotion factors and anxiety emotion factors of 0.87 and 0.88, respectively. That is, it can be seen that facial expression 1 has a high relationship with anger and anxiety emotion factors.

In order to obtain emotion information from facial expressions, a facial action coding system (FACS) may be used.

Specifically, the controller 300 may extract a feature point from the face of an infant and extract a plurality of face elements using the extracted feature point. The plurality of facial elements may include eyebrows, eyes, noses, and mouths. The controller 300 may combine patterns for each of the plurality of extracted facial elements, and compare the combined patterns with correlation information 500 between facial expressions and emotion factors stored in the storage 130. The correlation information 500 between the facial expression and the emotion factor corresponds to information representing the relationship between the facial expression and the emotional state.

As such, the control unit 300 may acquire the emotion information of the infant using the correlation information 500 between the plurality of sensed data and the emotion factors. Since the information shown in FIG. 5 is only a result of the experiment, it may appear variously according to the experiment environment.

In addition, although FIG. 5 shows only the correlation information between the cry, EEG and facial expressions and emotion factors, the present invention is not limited thereto. That is, the correlation information 500 between the sensed data and the emotion factor may include a relationship between the sensed data and the emotion factor obtained from a plurality of sensors provided in the vehicle 1.

6 is a diagram for explaining an emotion model used for obtaining emotion information.

Referring to FIG. 6, the emotion model classifies the emotions of the occupants according to the biosignals of the occupants (infants) on the graph. The emotion model classifies the emotion of the occupant based on a preset emotion axis. The emotion axis may be determined based on the emotion measured by the passenger's image or the passenger's biosignal. For example, the emotion axis 1 may be a positive or negative measure that can be measured by a passenger's voice or facial expression, and the emotion axis 2 may be an excitability or activity that can be measured by GSR or EEG.

When the passenger's emotion has a high degree of affirmation and high excitement, the emotion may be classified as emotion 1 or emotion 2. Conversely, when the passenger's emotion has a negative (-) positive, that is, a negative degree and a high excitability, the emotion may be classified as emotion 3 or emotion 4.

Such an emotional model may be Russell's emotional model. Russell's emotional model is displayed in two-dimensional graphs based on the x-axis and y-axis, with joy (0 degrees), excitement (45 degrees), arousal (90 degrees), pain (135 degrees), discomfort (180) Emotions are divided into eight areas of depression, 225 degrees, sleepiness (270 degrees), and relaxation (315 degrees). In addition, the eight domains are divided into a total of 28 emotions and classified into similar emotions belonging to the eight domains.

In this way, the controller 300 may obtain the emotion information of the occupant (infant) using the correlation information 500 and the emotion model between a plurality of detection data and emotion factors.

7 is a flowchart illustrating a method of controlling a vehicle according to an embodiment.

Referring to FIG. 7, when an infant is seated in the car seat 110 installed in the seats 12 and 13 of the vehicle 1, a plurality of sensors installed inside the car 1 and the car seat 110 are generated from the infant. A plurality of detected signals are sensed, and a plurality of sensed data is acquired (701). The plurality of sensors transmits the obtained plurality of detection data to the control unit 300.

The control unit 300 extracts detection data associated with the first acquired detection data from among the plurality of detection data acquired during a predetermined predetermined time (702). In addition, the control unit 300 applies weights to the plurality of sensed data (703). At this time, the controller 300 may apply the largest weight to the first acquired sensing data among the plurality of sensing data.

The controller 300 searches for relevance data between the plurality of sensed data stored in the storage 130 and the infant state information, and extracts infant state information matching the plurality of sensed data to which the weight is applied (704). The controller 300 controls the user interface device 140 to output the extracted infant status information (706). In addition, the controller 300 may control the driving unit 150 so that the functional element of the vehicle is adjusted based on the extracted infant state information (operation 707).

As described above, the vehicle 1 and the control method according to an embodiment apply a weight in processing sensing data acquired by a plurality of sensors and search for infant state information associated with the sensing data. Can accurately grasp the state of

In addition, according to the vehicle and its control method according to one aspect, it is possible to appropriately adjust the function of the vehicle in response to the infant's condition.

Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium that stores instructions executable by a computer. Instructions may be stored in the form of program code, and when executed by a processor, may generate program modules to perform operations of the disclosed embodiments. The recording medium may be embodied as a computer-readable recording medium.

The computer-readable recording medium includes all kinds of recording media storing instructions that can be read by a computer. For example, there may be a read only memory (ROM), a random access memory (RAM), a magnetic tape, a magnetic disk, a flash memory, and an optical data storage device.

As described above, the disclosed embodiments have been described with reference to the accompanying drawings. Those of ordinary skill in the art to which the present invention pertains will understand that the present invention may be practiced in different forms from the disclosed embodiments without changing the technical spirit or essential features of the present invention. The disclosed embodiments are illustrative and should not be construed as limiting.

1: Vehicle
110: car seat
120: communication unit
130: storage unit
140: user interface device
150: driving unit
200: detection unit
300: control unit

Claims (18)

A detachable car seat and a plurality of sensors provided inside the vehicle and acquiring a plurality of detection data by sensing a plurality of signals generated from an infant seated in the car seat;
A storage unit for storing relational data between the plurality of sensed data and infant state information;
A control unit that applies weights to the plurality of sensed data obtained by the plurality of sensors, searches the relevance data, and extracts the infant state information matching the plurality of sensed data to which the weights are applied; And
A vehicle comprising; a user interface device for outputting the infant status information. According to claim 1,
The control unit
A vehicle that extracts detection data associated with detection data first acquired from the plurality of detection data acquired for a predetermined period of time and applies the weight to the plurality of detection data. According to claim 1,
The control unit
A vehicle that applies the largest weight to the first acquired sensing data among the plurality of sensing data. According to claim 1,
The plurality of sensors
The pressure sensor for sensing the pressure caused by the movement of the infant, the temperature sensor for detecting the temperature change due to the bowel movement of the infant, the heart rate sensor for measuring the heart rate of the infant, the sound sensor for detecting the crying of the infant, and the A vehicle comprising at least one of an imaging sensor that photographs an infant's facial expressions and gestures. According to claim 1,
The infant status information
Vehicles comprising at least one of hungry, sleepy, sick, bored and defecated. According to claim 1,
Further comprising a drive unit for performing the functional elements of the vehicle,
The control unit
A vehicle that controls the driving unit of the vehicle so that the functional element is adjusted based on the infant condition information. The method of claim 6,
The functional elements are
A vehicle comprising at least one of a driving assistance system, an air conditioning system, an AVN system, and a lighting system. According to claim 1,
The control unit
A vehicle that acquires the emotion information of the infant based on the plurality of sensed data, and extracts the infant state information by reflecting the emotion information. According to claim 1,
The control unit,
A vehicle that updates the relevance data based on a plurality of sensed data acquired by the plurality of sensors and the matched infant condition information. Detecting a plurality of signals generated from an infant seated in the car seat using a detachable car seat and a plurality of sensors provided inside the vehicle, and acquiring a plurality of detection data;
Applying a weight to the plurality of sensed data obtained by the plurality of sensors;
Searching for relevance data between the plurality of sensed data and the infant state information, and extracting the infant state information matching the plurality of sensed data to which the weight is applied; And
And outputting the infant state information through a user interface device. The method of claim 10,
Applying the weight is
And extracting detection data associated with the first acquired detection data among the plurality of detection data acquired for a predetermined period of time, and applying the weight to the plurality of detection data. The method of claim 10,
Applying the weight is
And applying the largest weight to the first acquired sensing data among the plurality of sensing data. The method of claim 10,
The plurality of sensors
The pressure sensor for sensing the pressure caused by the movement of the infant, the temperature sensor for detecting the temperature change due to the bowel movement of the infant, the heart rate sensor for measuring the heart rate of the infant, the sound sensor for detecting the crying of the infant, and the A vehicle control method comprising at least one of an imaging sensor that photographs an infant's facial expression and gesture. The method of claim 10,
The infant status information
A control method of a vehicle including at least one of a hungry state, a sleepy state, an uncomfortable state, a bored state, and a defecated state. The method of claim 10,
And controlling a driving unit that executes the functional element so that a functional element of the vehicle is adjusted based on the infant condition information. The method of claim 15,
The functional elements are
A control method of a vehicle including at least one of a driving assistance system, an air conditioning system, an AVN system, and a lighting system. The method of claim 10,
The step of extracting the infant status information is
And acquiring emotion information of the infant based on the plurality of sensed data, and extracting the infant state information by reflecting the emotion information. The method of claim 10,
And updating the relevance data based on the plurality of sensed data obtained by the plurality of sensors and the matched infant condition information.

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