KR20180106731A - Mobile terminal having artificial intelligence agent - Google Patents

Abstract

The present invention relates to a mobile terminal including an artificial intelligence agent. The present invention includes: a touch screen; a camera formed to receive image information; a control part activating the camera based on a camera activation event while an execution screen of the artificial intelligence agent is being displayed on the touch screen; and an artificial intelligence part performing control regarding the image information received through the camera after the activation of the camera. The control part outputs a result of the control regarding the image information through at least one part of the execution screen of the artificial intelligence agent. According to the present invention, a user is able to apply the image received through the camera by giving a control command to the artificial intelligence agent. Thus, when a voice recognition function is not working, the present invention is able to be useful, and also, time for applying a control command is able to be reduced in comparison to text.

Description

[0001] MOBILE TERMINAL HAVING ARTIFICIAL INTELLIGENCE AGENT [0002]

The present invention relates to a mobile terminal equipped with an artificial intelligence agent.

Artificial intelligence is a field of computer engineering and information technology that researches how computers can do thinking, learning, and self-development that can be done by human intelligence. To be imitable.

In addition, artificial intelligence does not exist in its own right, but has many direct and indirect links with other areas of computer science. Especially, in the field of information technology, the artificial intelligence has been introduced in many fields and it has been actively attempted to utilize it to solve problems in the field.

Especially, as natural language processing technology using artificial intelligence is developed, it becomes possible to have natural conversation with artificial intelligence software.

In the past, the type of information that can be applied to artificial intelligence software is limited to voice or text, and the demand for applying various types of information is increasing.

An object of the present invention is to provide a mobile terminal having an artificial intelligence agent capable of receiving various kinds of control commands and performing control related to the received control commands.

Specifically, the present invention provides a mobile terminal having an artificial intelligence agent that receives image information through a camera and performs control related to image information, and a control method thereof.

It is another object of the present invention to provide a mobile terminal and a control method thereof that provide various input means when a user applies a control command to an artificial intelligence agent.

In order to achieve the above object, the present invention activates a camera when the predetermined condition is satisfied, and controls the artificial intelligent agent to perform control related to image information received through the camera.

A controller configured to activate the camera based on a camera activation event in a state in which an execution screen of the artificial intelligence agent is displayed on the touch screen; And an artificial intelligence unit for performing control related to image information received through the camera after the camera is activated, wherein the control unit is operable to perform a control execution result associated with the image information on at least a part of an execution screen of the artificial intelligence agent And outputs the output signal.

In one embodiment, when the product list including at least one product is recognized in the image information, the artificial intelligence unit uses the product list to search for a recommended product list including at least a part of the at least one product And the control unit may output the recommended goods list to at least a part of the execution screen of the artificial intelligence agent when the recommended goods list is generated.

In one embodiment, the artificial intelligence unit may extract a user's product order record related to the recognized product list, and generate the recommended product list based on the product order record.

In one embodiment, when the touch input is applied to the recommendation product list, the artificial intelligence unit may perform control related to purchase of a product corresponding to a position where the touch input is applied.

In one embodiment, the controller may output image information received through the camera to at least a part of the execution screen when the camera is activated, and the artificial intelligence unit may be configured to, when the artificial intelligence agent is in operation Control information related to at least one of the received command information and the image information output to the execution screen.

In one embodiment, the artificial intelligence unit may activate the camera when a predetermined touch input is applied while the execution screen is displayed.

In one embodiment, when the specific object is recognized in the image information output on the execution screen, the artificial intelligence unit may perform settlement of a product corresponding to the specific object.

In one embodiment, the artificial intelligent unit gradually displays image information received through the camera for a predetermined period of time after the preset touch input is applied, and displays the progressively displayed image information And can perform control related to image information received through the camera.

In one embodiment, when the predetermined touch input is held for the predetermined time, the controller may output a control execution result related to the image information.

In one embodiment, when the predetermined touch input is released within the predetermined time from when the preset touch input is applied, the artificial intelligence unit stops displaying the image information received through the camera, The control relating to the image information received through the camera can be stopped.

In one embodiment, the apparatus further includes a microphone configured to receive voice information, and the command information may include voice information that is received through the microphone during operation of the AI agent.

In one embodiment, the artificial intelligence unit receives voice information through the microphone when a voice recognition activation event is generated while video information received through the camera is displayed on at least a part of the execution screen, And control related to the received voice information and the video information displayed on the execution screen.

In one embodiment, when the speech recognition activation event is generated while the execution screen is displayed, the artificial intelligence unit may receive voice information through the microphone and perform control related to the received voice information.

In one embodiment, the artificial intelligence unit recognizes the context of the voice information received after the voice recognition activation event is generated, and may drive the camera according to the context recognition result.

In one embodiment, when the camera is driven according to the context recognition result, the artificial intelligence unit may perform control related to the audio information using the image information received through the camera.

In one embodiment, the artificial intelligence unit recognizes a specific object in the image information received through the camera, and performs control related to the audio information using the object recognition result.

In one embodiment, the artificial intelligence unit may select the type of object to be recognized from the image information based on the context recognition result.

According to the present invention, since the image information received through the camera is applied to the artificial intelligence agent during execution of the artificial intelligence agent, and the artificial intelligence agent performs control using the applied image information, The kinds of control that can be performed are various.

Also, according to the present invention, when the camera is activated during execution of the artificial intelligence agent, the execution image of the artificial intelligence agent and the image information received through the camera are overlapped and displayed. Therefore, even if the camera is activated during execution of the artificial intelligence agent, the execution screen of the artificial intelligence agent does not need to be switched to the camera execution screen. As a result, user convenience is increased.

In addition, according to the present invention, since the artificial intelligent agent can perform a specific function only with the applied image information, the user does not need to apply voice information or text in order to execute a specific function of the artificial intelligent agent. Accordingly, the user can execute a specific function of the artificial intelligence agent using the image information in a situation where ambient noise is excessive and it is difficult to apply voice information, and a situation where there is not enough time to input a text message.

Further, according to the present invention, the user does not need to languageize the control command applied to the artificial intelligence agent. Accordingly, the user can use the artificial intelligence agent more intuitively.

1A is a block diagram illustrating a mobile terminal according to the present invention.
FIGS. 1B and 1C are conceptual diagrams illustrating an example of a mobile terminal according to the present invention in different directions.
2 and 3 are conceptual diagrams illustrating an embodiment of executing a voice recognition based agent provided in a mobile terminal.
4 and 5 are conceptual diagrams illustrating an embodiment in which a user activates speech recognition during speech recognition based agent execution.
6 is a conceptual diagram illustrating an embodiment for performing control related to voice information applied to a voice recognition-based agent.
7 is a conceptual diagram illustrating an embodiment of a text-based agent.
8 is a flowchart showing a control method of a mobile terminal according to the present invention.
Figs. 9 to 11 are conceptual diagrams showing an embodiment for displaying image information received through a camera in at least a part of an execution screen of an artificial intelligence agent. Fig.
12A to 12C are conceptual diagrams illustrating an embodiment for performing control related to an object recognized in the image information displayed on the execution screen of the artificial intelligence agent.
13A and 13B are conceptual diagrams illustrating an embodiment of performing control related to an object recognized in an image selected by the user.
14 is a conceptual diagram illustrating an embodiment in which an artificial intelligent agent determines a method of controlling image information received through a camera using audio information received via a microphone.
15 is a conceptual diagram illustrating an embodiment in which an artificial intelligent agent performs control based only on voice information.
16 is a conceptual diagram showing an embodiment in which an artificial intelligent agent recognizes the context of voice information and activates the camera.
17 is a conceptual diagram showing an embodiment in which the artificial intelligent agent activates the camera as needed in performing control related to voice information.
18A and 18B are conceptual diagrams showing an embodiment in which an artificial intelligent agent performs control using an application installed in a mobile terminal.
19 is a conceptual diagram showing an embodiment in which an artificial intelligence agent determines an application to be executed by utilizing other information collectable in a mobile terminal.
20 is a conceptual diagram illustrating an embodiment in which an artificial intelligent agent defines an object to be recognized in an image using information that can be collected from a mobile terminal.
21 is a conceptual diagram illustrating an embodiment in which the artificial intelligence agent changes the description of the mobile terminal using image information.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like or similar components are denoted by the same reference numerals, and redundant explanations thereof will be omitted. The suffix "module" and " part "for the components used in the following description are given or mixed in consideration of ease of specification, and do not have their own meaning or role. In the following description of the embodiments of the present invention, a detailed description of related arts will be omitted when it is determined that the gist of the embodiments disclosed herein may be blurred. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. , ≪ / RTI > equivalents, and alternatives.

Terms including ordinals, such as first, second, etc., may be used to describe various elements, but the elements are not limited to these terms. The terms are used only for the purpose of distinguishing one component from another.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The singular expressions include plural expressions unless the context clearly dictates otherwise.

In the present application, the terms "comprises", "having", and the like are used to specify that a feature, a number, a step, an operation, an element, a component, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

The mobile terminal described in this specification includes a mobile phone, a smart phone, a laptop computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), a navigation device, a slate PC A tablet PC, an ultrabook, a wearable device such as a smartwatch, a smart glass, and a head mounted display (HMD). have.

However, it will be appreciated by those skilled in the art that the configuration according to the embodiments described herein may be applied to fixed terminals such as a digital TV, a desktop computer, a digital signage, and the like, will be.

1A to 1C are block diagrams for explaining a mobile terminal according to the present invention, and FIGS. 1B and 1C are conceptual diagrams showing an example of a mobile terminal according to the present invention in different directions.

The mobile terminal 100 includes a wireless communication unit 110, an input unit 120, an artificial intelligence unit 130, a sensing unit 140, an output unit 150, an interface unit 160, a memory 170, 180, a power supply 190, and the like. The components shown in FIG. 1A are not essential for implementing a mobile terminal, so that the mobile terminal described herein may have more or fewer components than the components listed above.

The wireless communication unit 110 may be connected between the mobile terminal 100 and the wireless communication system or between the mobile terminal 100 and another mobile terminal 100 or between the mobile terminal 100 and the external server 100. [ Lt; RTI ID = 0.0 > wireless < / RTI > In addition, the wireless communication unit 110 may include one or more modules for connecting the mobile terminal 100 to one or more networks.

The wireless communication unit 110 may include at least one of a broadcast receiving module 111, a mobile communication module 112, a wireless Internet module 113, a short distance communication module 114, and a location information module 115 .

The input unit 120 includes a camera 121 or an image input unit for inputting a video signal, a microphone 122 for inputting an audio signal, an audio input unit, a user input unit 123 for receiving information from a user A touch key, a mechanical key, and the like). The voice data or image data collected by the input unit 120 may be analyzed and processed by a user's control command.

The artificial intelligence unit 130 plays a role of processing information based on artificial intelligence technology and includes at least one module for performing at least one of learning of information, inference of information, perception of information, and processing of natural language .

The artificial intelligence unit 130 By using machine running technology, information stored in the mobile terminal, environment information around the mobile terminal, information stored in a communicable external storage, etc. It is possible to perform at least one of learning, reasoning, and processing of a large amount of information (big data, big data). The artificial intelligence unit 130 predicts (or inferences) the operation of at least one mobile terminal that can be executed using the learned information using the machine learning technique, It is possible to control the mobile terminal so that the highly feasible operation is performed.

Machine learning technology is a technology that collects and learns a large amount of information based on at least one algorithm, and judges and predicts information based on the learned information. The learning of information is an operation that grasps the characteristics, rules, and judgment criteria of information, quantifies the relationship between information and information, and predicts new data using a quantified pattern.

The algorithms used by such machine learning techniques may be statistical based algorithms, for example, a decision tree that uses the tree structure type as a prediction model, an artificial tree that mimics the neural network structure and function of the organism Neural networks, genetic programming based on biological evolutionary algorithms, clustering to distribute observed examples to a subset of clusters, Monte Carlo computation of probability values through randomly extracted random numbers, Method (Monter carlo method) or the like.

As an area of machine learning technology, deep learning technology is a technique of performing at least one of learning, judging, and processing information using an artificial neural network algorithm. An artificial neural network can have a structure that links layers and layers, and conveys data between layers and layers. This deep learning technique can learn vast amount of information through artificial neural network using GPU (graphic processing unit) optimized for parallel computing.

Meanwhile, the artificial intelligence unit 130 collects (detects, monitors, extracts, etc.) signals, data, and information input or output from the components of the mobile terminal in order to collect vast amounts of information for applying the machine learning technology. , Detection, reception). The artificial intelligence unit 130 may collect (detect, monitor, extract, detect, and receive) data, information, and the like stored in an external storage (for example, a cloud server) More specifically, the collection of information can be understood as including the operation of sensing information through a sensor, extracting information stored in the memory 170, or receiving information from an external storage through communication.

The artificial intelligence unit 130 can sense information in the mobile terminal, surrounding environment information surrounding the mobile terminal, and user information through the sensing unit 140. [ In addition, the artificial intelligence unit 130 can receive broadcast signals and / or broadcast-related information, wireless signals, wireless data, and the like through the wireless communication unit 110. The artificial intelligence unit 130 may receive image information (or signal), audio information (or signal), data, or information input from a user from an input unit.

The artificial intelligence unit 130 collects a large amount of information in real time in the background, learns it, and stores information (for example, knowledge graph, command policy, personalization database, Lt; RTI ID = 0.0 > 170 < / RTI >

When the operation of the mobile terminal is predicted based on the learned information using the machine learning technology, the artificial intelligence unit 130 controls the components of the mobile terminal, The control unit 180 may transmit a control command for executing the operation. The control unit 180 can execute the predicted operation by controlling the mobile terminal based on the control command.

Meanwhile, when the specific operation is performed, the artificial intelligence unit 130 analyzes the history information indicating the performance of the specific operation through the machine learning technique, and updates the existing learned information based on the analysis information . Therefore, the artificial intelligence unit 130 can improve the accuracy of information prediction.

Meanwhile, in this specification, the AI 130 and the controller 180 can be understood as the same components. In this case, the function performed in the control unit 180 described herein may be expressed as being performed in the artificial intelligence unit 130, and the control unit 180 may be named as the artificial intelligence unit 130, or conversely, The intelligent unit 130 may be referred to as the control unit 180.

Alternatively, in the present specification, the AI 130 and the control unit 180 may be understood as separate components. In this case, the artificial intelligence unit 130 and the control unit 180 can perform various controls on the mobile terminal through data exchange with each other. The control unit 180 may perform at least one function on the mobile terminal or may control at least one of the components of the mobile terminal based on the result derived from the artificial intelligence unit 130. [ Furthermore, the artificial intelligence unit 130 may also be operated under the control of the control unit 180.

The sensing unit 140 may include at least one sensor for sensing at least one of information in the mobile terminal, surrounding environment information surrounding the mobile terminal, and user information. For example, the sensing unit 140 may include a proximity sensor 141, an illumination sensor 142, a touch sensor, an acceleration sensor, a magnetic sensor, A G-sensor, a gyroscope sensor, a motion sensor, an RGB sensor, an infrared sensor, a finger scan sensor, an ultrasonic sensor, A microphone 226, a battery gauge, an environmental sensor (for example, a barometer, a hygrometer, a thermometer, a radiation detection sensor, A thermal sensor, a gas sensor, etc.), a chemical sensor (e.g., an electronic nose, a healthcare sensor, a biometric sensor, etc.). Meanwhile, the mobile terminal disclosed in the present specification can combine and utilize information sensed by at least two of the sensors.

The output unit 150 includes at least one of a display unit 151, an acoustic output unit 152, a haptic tip module 153, and a light output unit 154 to generate an output related to visual, auditory, can do. The display unit 151 may have a mutual layer structure with the touch sensor or may be integrally formed to realize a touch screen. The touch screen may function as a user input unit 123 that provides an input interface between the mobile terminal 100 and a user and may provide an output interface between the mobile terminal 100 and a user.

The interface unit 160 serves as a path to various types of external devices connected to the mobile terminal 100. The interface unit 160 is connected to a device having a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, And may include at least one of a port, an audio I / O port, a video I / O port, and an earphone port. In the mobile terminal 100, corresponding to the connection of the external device to the interface unit 160, it is possible to perform appropriate control related to the connected external device.

In addition, the memory 170 stores data supporting various functions of the mobile terminal 100. The memory 170 stores a plurality of application programs or applications driven by the mobile terminal 100, data for operation of the mobile terminal 100, instructions, operations of the artificial intelligence unit 130 (E. G., At least one algorithm information for machine learning). ≪ / RTI > At least some of these applications may be downloaded from an external server via wireless communication. Also, at least a part of these application programs may exist on the mobile terminal 100 from the time of shipment for the basic functions (e.g., telephone call receiving function, message receiving function, and calling function) of the mobile terminal 100. Meanwhile, the application program may be stored in the memory 170, installed on the mobile terminal 100, and may be operated by the control unit 180 to perform the operation (or function) of the mobile terminal.

In addition to the operations related to the application program, the control unit 180 typically controls the overall operation of the mobile terminal 100. The control unit 180 may process or process signals, data, information, and the like input or output through the above-mentioned components, or may drive an application program stored in the memory 170 to provide or process appropriate information or functions to the user.

In addition, the controller 180 may control at least some of the components illustrated in FIG. 1A in order to drive an application program stored in the memory 170. FIG. In addition, the controller 180 may operate at least two of the components included in the mobile terminal 100 in combination with each other for driving the application program.

The power supply unit 190 receives external power and internal power under the control of the controller 180 and supplies power to the components included in the mobile terminal 100. The power supply unit 190 includes a battery, which may be an internal battery or a replaceable battery.

At least some of the components may operate in cooperation with one another to implement a method of operation, control, or control of a mobile terminal according to various embodiments described below. In addition, the operation, control, or control method of the mobile terminal may be implemented on the mobile terminal by driving at least one application program stored in the memory 170. [

Hereinafter, the various components of the mobile terminal 100 will be described in detail with reference to FIG. 1A.

First, referring to the wireless communication unit 110, the broadcast receiving module 111 of the wireless communication unit 110 receives broadcast signals and / or broadcast-related information from an external broadcast management server through a broadcast channel. The broadcast channel may include a satellite channel and a terrestrial channel. Two or more broadcast receiving modules may be provided to the mobile terminal 100 for simultaneous broadcast reception or broadcast channel switching for at least two broadcast channels.

The mobile communication module 112 may be a mobile communication module or a mobile communication module such as a mobile communication module or a mobile communication module that uses technology standards or a communication method (e.g., Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), Wideband CDMA (WCDMA), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution And an external terminal, or a server on a mobile communication network established according to a long term evolution (AR), a long term evolution (AR), or the like.

The wireless signal may include various types of data depending on a voice call signal, a video call signal or a text / multimedia message transmission / reception.

The wireless Internet module 113 is a module for wireless Internet access, and may be built in or externally attached to the mobile terminal 100. The wireless Internet module 113 is configured to transmit and receive a wireless signal in a communication network according to wireless Internet technologies.

Wireless Internet technologies include, for example, wireless LAN (WLAN), wireless fidelity (Wi-Fi), wireless fidelity (Wi-Fi) Direct, DLNA (Digital Living Network Alliance), WiBro Interoperability for Microwave Access, High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution (LTE) and Long Term Evolution-Advanced (LTE-A) 113 transmit and receive data according to at least one wireless Internet technology, including Internet technologies not listed above.

The wireless Internet module 113 for performing a wireless Internet connection through the mobile communication network can be used for wireless Internet access by WiBro, HSDPA, HSUPA, GSM, CDMA, WCDMA, LTE or LTE- May be understood as a kind of the mobile communication module 112.

The short-range communication module 114 is for short-range communication, and includes Bluetooth ™, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB) (Near Field Communication), Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, and Wireless USB (Wireless Universal Serial Bus) technology. The short-range communication module 114 is connected to the mobile terminal 100 and the wireless communication system through the wireless area networks, between the mobile terminal 100 and another mobile terminal 100, or between the mobile terminal 100 ) And the other mobile terminal 100 (or the external server). The short-range wireless communication network may be a short-range wireless personal area network.

Here, the other mobile terminal 100 may be a wearable device (e.g., a smartwatch, a smart glass, etc.) capable of interchanging data with the mobile terminal 100 according to the present invention (smart glass), HMD (head mounted display)). The short range communication module 114 may detect (or recognize) a wearable device capable of communicating with the mobile terminal 100 around the mobile terminal 100. [ If the detected wearable device is a device authenticated to communicate with the mobile terminal 100 according to the present invention, the control unit 180 may transmit at least a part of the data processed by the mobile terminal 100 to the short- 114 to the wearable device. Therefore, the user of the wearable device can use the data processed by the mobile terminal 100 through the wearable device. For example, according to this, when a telephone is received in the mobile terminal 100, the user performs a telephone conversation via the wearable device, or when a message is received in the mobile terminal 100, It is possible to check the message.

The position information module 115 is a module for obtaining the position (or current position) of the mobile terminal, and a representative example thereof is a Global Positioning System (GPS) module or a Wireless Fidelity (WiFi) module. For example, when the mobile terminal utilizes the GPS module, it can acquire the position of the mobile terminal by using a signal transmitted from the GPS satellite. As another example, when the mobile terminal utilizes the Wi-Fi module, it can acquire the position of the mobile terminal based on information of a wireless access point (AP) that transmits or receives the wireless signal with the Wi-Fi module. Optionally, the location information module 115 may perform any of the other functions of the wireless communication unit 110 to obtain data relating to the location of the mobile terminal, in addition or alternatively. The location information module 115 is a module used to obtain the location (or current location) of the mobile terminal, and is not limited to a module that directly calculates or obtains the location of the mobile terminal.

Next, the input unit 120 is for inputting image information (or signal), audio information (or signal), data, or information input from a user. For inputting image information, Or a plurality of cameras 121 may be provided. The camera 121 processes an image frame such as a still image or moving image obtained by the image sensor in the video communication mode or the photographing mode. The processed image frame may be displayed on the display unit 151 or stored in the memory 170. [ A plurality of cameras 121 provided in the mobile terminal 100 may be arranged to have a matrix structure and various angles or foci may be provided to the mobile terminal 100 through the camera 121 having the matrix structure A plurality of pieces of image information can be input. In addition, the plurality of cameras 121 may be arranged in a stereo structure to acquire a left image and a right image for realizing a stereoscopic image.

The microphone 122 processes the external acoustic signal into electrical voice data. The processed voice data can be utilized variously according to a function (or a running application program) being executed in the mobile terminal 100. Meanwhile, the microphone 122 may be implemented with various noise reduction algorithms for eliminating noise generated in receiving an external sound signal.

The user input unit 123 is for receiving information from a user and when the information is inputted through the user input unit 123, the control unit 180 can control the operation of the mobile terminal 100 to correspond to the input information . The user input unit 123 may include a mechanical input means (or a mechanical key such as a button located on the front, rear or side of the mobile terminal 100, a dome switch, a jog wheel, Jog switches, etc.) and touch-type input means. For example, the touch-type input means may comprise a virtual key, a soft key or a visual key displayed on the touch screen through software processing, And a touch key disposed on the touch panel. Meanwhile, the virtual key or the visual key can be displayed on a touch screen having various forms, for example, a graphic, a text, an icon, a video, As shown in FIG.

Meanwhile, the sensing unit 140 senses at least one of information in the mobile terminal, surrounding environment information surrounding the mobile terminal, and user information, and generates a corresponding sensing signal. The control unit 180 may control the driving or operation of the mobile terminal 100 or may perform data processing, function or operation related to the application program installed in the mobile terminal 100 based on the sensing signal. Representative sensors among various sensors that may be included in the sensing unit 140 will be described in more detail.

First, the proximity sensor 141 refers to a sensor that detects the presence of an object approaching a predetermined detection surface, or the presence of an object in the vicinity of the detection surface, without mechanical contact by using electromagnetic force or infrared rays. The proximity sensor 141 may be disposed in the inner area of the mobile terminal or in proximity to the touch screen, which is covered by the touch screen.

Examples of the proximity sensor 141 include a transmission type photoelectric sensor, a direct reflection fluorescent light sensor, a mirror reflection fluorescent light sensor, a high frequency oscillation proximity sensor, a capacitive proximity sensor, a magnetic proximity sensor, and an infrared proximity sensor. In the case where the touch screen is electrostatic, the proximity sensor 141 can be configured to detect the proximity of the object with a change of the electric field along the proximity of the object having conductivity. In this case, the touch screen (or touch sensor) itself may be classified as a proximity sensor.

On the other hand, for convenience of explanation, the act of recognizing that the object is located on the touch screen in proximity with no object touching the touch screen is referred to as "proximity touch & The act of actually touching an object on the screen is called a "contact touch. &Quot; The position at which the object is closely touched on the touch screen means a position where the object corresponds to the touch screen vertically when the object is touched. The proximity sensor 141 can detect a proximity touch and a proximity touch pattern (e.g., a proximity touch distance, a proximity touch direction, a proximity touch speed, a proximity touch time, a proximity touch position, have. Meanwhile, the control unit 180 processes data (or information) corresponding to the proximity touch operation and the proximity touch pattern sensed through the proximity sensor 141 as described above, and further provides visual information corresponding to the processed data It can be output on the touch screen. Furthermore, the control unit 180 can control the mobile terminal 100 such that different operations or data (or information) are processed according to whether the touch to the same point on the touch screen is a proximity touch or a touch touch .

The touch sensor senses a touch (or touch input) applied to the touch screen (or the display unit 151) by using at least one of various touch methods such as a resistance film type, a capacitive type, an infrared type, an ultrasonic type, do.

For example, the touch sensor may be configured to convert a change in a pressure applied to a specific portion of the touch screen or a capacitance generated in a specific portion to an electrical input signal. The touch sensor may be configured to detect a position, an area, a pressure at the time of touch, a capacitance at the time of touch, and the like where a touch object touching the touch screen is touched on the touch sensor. Here, the touch object may be a finger, a touch pen, a stylus pen, a pointer, or the like as an object to which a touch is applied to the touch sensor.

Thus, when there is a touch input to the touch sensor, the corresponding signal (s) is sent to the touch controller. The touch controller processes the signal (s) and transmits the corresponding data to the controller 180. Thus, the control unit 180 can know which area of the display unit 151 is touched or the like. Here, the touch controller may be a separate component from the control unit 180, and may be the control unit 180 itself.

On the other hand, the control unit 180 may perform different controls or perform the same control according to the type of the touch object touching the touch screen (or a touch key provided on the touch screen). Whether to perform different controls or to perform the same control according to the type of the touch object may be determined according to the current state of the mobile terminal 100 or an application program being executed.

On the other hand, the touch sensors and the proximity sensors discussed above can be used independently or in combination to provide a short touch (touch), a long touch, a multi touch, a drag touch ), Flick touch, pinch-in touch, pinch-out touch, swipe touch, hovering touch, and the like. Touch can be sensed.

The ultrasonic sensor can recognize the position information of the object to be sensed by using ultrasonic waves. Meanwhile, the controller 180 can calculate the position of the wave generating source through the information sensed by the optical sensor and the plurality of ultrasonic sensors. The position of the wave source can be calculated using the fact that the light is much faster than the ultrasonic wave, that is, the time when the light reaches the optical sensor is much faster than the time the ultrasonic wave reaches the ultrasonic sensor. More specifically, the position of the wave generating source can be calculated using the time difference with the time when the ultrasonic wave reaches the reference signal.

The camera 121 includes at least one of a camera sensor (for example, a CCD, a CMOS, etc.), a photo sensor (or an image sensor), and a laser sensor.

The camera 121 and the laser sensor may be combined with each other to sense a touch of the sensing object with respect to the three-dimensional stereoscopic image. The photosensor can be laminated to the display element, which is adapted to scan the movement of the object to be detected proximate to the touch screen. More specifically, the photosensor mounts photo diodes and TRs (Transistors) in a row / column and scans the contents loaded on the photosensor using an electrical signal that varies according to the amount of light applied to the photo diode. That is, the photo sensor performs coordinate calculation of the object to be sensed according to the amount of change of light, and position information of the object to be sensed can be obtained through the calculation.

The display unit 151 displays (outputs) information processed by the mobile terminal 100. For example, the display unit 151 may display execution screen information of an application program driven by the mobile terminal 100 or UI (User Interface) and GUI (Graphic User Interface) information according to the execution screen information .

In addition, the display unit 151 may be configured as a stereoscopic display unit for displaying a stereoscopic image.

In the stereoscopic display unit, a three-dimensional display system such as a stereoscopic system (glasses system), an autostereoscopic system (no-glasses system), and a projection system (holographic system) can be applied.

The sound output unit 152 may output audio data received from the wireless communication unit 110 or stored in the memory 170 in a call signal reception mode, a call mode or a recording mode, a voice recognition mode, a broadcast reception mode, The sound output unit 152 also outputs sound signals related to functions (e.g., call signal reception sound, message reception sound, etc.) performed in the mobile terminal 100. [ The audio output unit 152 may include a receiver, a speaker, a buzzer, and the like.

The haptic module 153 generates various tactile effects that the user can feel. A typical example of the haptic effect generated by the haptic module 153 may be vibration. The intensity and pattern of the vibration generated in the haptic module 153 can be controlled by the user's selection or the setting of the control unit. For example, the haptic module 153 may synthesize and output different vibrations or sequentially output the vibrations.

In addition to vibration, the haptic module 153 may be configured to perform various functions such as a pin arrangement vertically moving with respect to the contact skin surface, a spraying force or suction force of the air through the injection port or the suction port, a touch on the skin surface, And various tactile effects such as an effect of reproducing a cold sensation using an endothermic or exothermic element can be generated.

The haptic module 153 can transmit the tactile effect through the direct contact, and the tactile effect can be felt by the user through the muscles of the finger or arm. The haptic module 153 may include two or more haptic modules 153 according to the configuration of the mobile terminal 100.

The light output unit 154 outputs a signal for notifying the occurrence of an event using the light of the light source of the mobile terminal 100. Examples of events that occur in the mobile terminal 100 may include message reception, call signal reception, missed call, alarm, schedule notification, email reception, information reception through an application, and the like.

The signal output from the light output unit 154 is implemented as the mobile terminal emits light of a single color or a plurality of colors to the front or rear surface. The signal output may be terminated by the mobile terminal detecting the event confirmation of the user.

The interface unit 160 serves as a path for communication with all external devices connected to the mobile terminal 100. The interface unit 160 receives data from an external device or supplies power to each component in the mobile terminal 100 or transmits data in the mobile terminal 100 to an external device. For example, a port for connecting a device equipped with a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, an audio I / O port, a video I / O port, an earphone port, and the like may be included in the interface unit 160.

The identification module is a chip for storing various information for authenticating the use right of the mobile terminal 100 and includes a user identification module (UIM), a subscriber identity module (SIM) A universal subscriber identity module (USIM), and the like. Devices with identification modules (hereinafter referred to as "identification devices") can be manufactured in a smart card format. Accordingly, the identification device can be connected to the terminal 100 through the interface unit 160. [

The interface unit 160 may be a path through which power from the cradle is supplied to the mobile terminal 100 when the mobile terminal 100 is connected to an external cradle, And various command signals may be transmitted to the mobile terminal 100. The various command signals or the power source input from the cradle may be operated as a signal for recognizing that the mobile terminal 100 is correctly mounted on the cradle.

The memory 170 may store a program for the operation of the controller 180 and temporarily store input / output data (e.g., a phone book, a message, a still image, a moving picture, etc.). The memory 170 may store data related to vibration and sound of various patterns outputted when a touch is input on the touch screen.

The memory 170 may be a flash memory type, a hard disk type, a solid state disk type, an SDD type (Silicon Disk Drive type), a multimedia card micro type ), Card type memory (e.g., SD or XD memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read memory, a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and / or an optical disk. The mobile terminal 100 may operate in association with a web storage that performs the storage function of the memory 170 on the Internet.

Meanwhile, as described above, the control unit 180 controls the operations related to the application program and the general operation of the mobile terminal 100. [ For example, when the state of the mobile terminal meets a set condition, the control unit 180 can execute or release a lock state for restricting input of a user's control command to applications.

In addition, the control unit 180 performs control and processing related to voice communication, data communication, video call, or the like, or performs pattern recognition processing to recognize handwriting input or drawing input performed on the touch screen as characters and images, respectively . Further, the controller 180 may control any one or a plurality of the above-described components in order to implement various embodiments described below on the mobile terminal 100 according to the present invention.

The power supply unit 190 receives external power and internal power under the control of the controller 180 and supplies power necessary for operation of the respective components. The power supply unit 190 includes a battery, the battery may be an internal battery configured to be chargeable, and may be detachably coupled to the terminal body for charging or the like.

In addition, the power supply unit 190 may include a connection port, and the connection port may be configured as an example of an interface 160 through which an external charger for supplying power for charging the battery is electrically connected.

As another example, the power supply unit 190 may be configured to charge the battery in a wireless manner without using the connection port. In this case, the power supply unit 190 may use at least one of an inductive coupling method based on a magnetic induction phenomenon from an external wireless power transmission apparatus and a magnetic resonance coupling method based on an electromagnetic resonance phenomenon Power can be delivered.

In the following, various embodiments may be embodied in a recording medium readable by a computer or similar device using, for example, software, hardware, or a combination thereof.

Referring to FIGS. 1B and 1C, the disclosed mobile terminal 100 includes a bar-shaped terminal body. However, the present invention is not limited thereto and can be applied to various structures such as a folder type, a flip type, a slide type, a swing type, and a swivel type in which a watch type, a clip type, a glass type or two or more bodies are relatively movably coupled . A description of a particular type of mobile terminal, although relevant to a particular type of mobile terminal, is generally applicable to other types of mobile terminals.

Here, the terminal body can be understood as a concept of referring to the mobile terminal 100 as at least one aggregate.

The mobile terminal 100 includes a case (for example, a frame, a housing, a cover, and the like) that forms an appearance. As shown, the mobile terminal 100 may include a front case 101 and a rear case 102. Various electronic components are disposed in the inner space formed by the combination of the front case 101 and the rear case 102. At least one middle case may be additionally disposed between the front case 101 and the rear case 102.

A display unit 151 is disposed on a front surface of the terminal body to output information. The window 151a of the display unit 151 may be mounted on the front case 101 to form a front surface of the terminal body together with the front case 101. [

In some cases, electronic components may also be mounted on the rear case 102. Electronic parts that can be mounted on the rear case 102 include detachable batteries, an identification module, a memory card, and the like. In this case, a rear cover 103 for covering the mounted electronic components can be detachably coupled to the rear case 102. Therefore, when the rear cover 103 is separated from the rear case 102, the electronic parts mounted on the rear case 102 are exposed to the outside.

As shown, when the rear cover 103 is coupled to the rear case 102, a side portion of the rear case 102 can be exposed. In some cases, the rear case 102 may be completely covered by the rear cover 103 during the engagement. Meanwhile, the rear cover 103 may be provided with an opening for exposing the camera 121b and the sound output unit 152b to the outside.

These cases 101, 102, and 103 may be formed by injection molding of synthetic resin or may be formed of metal such as stainless steel (STS), aluminum (Al), titanium (Ti), or the like.

The mobile terminal 100 may be configured such that one case provides the internal space, unlike the above example in which a plurality of cases provide an internal space for accommodating various electronic components. In this case, a unibody mobile terminal 100 in which synthetic resin or metal is connected from the side to the rear side can be realized.

Meanwhile, the mobile terminal 100 may include a waterproof unit (not shown) for preventing water from penetrating into the terminal body. For example, the waterproof portion is provided between the window 151a and the front case 101, between the front case 101 and the rear case 102, or between the rear case 102 and the rear cover 103, And a waterproof member for sealing the inside space of the oven.

The mobile terminal 100 is provided with a display unit 151, first and second sound output units 152a and 152b, a proximity sensor 141, an illuminance sensor 142, a light output unit 154, Cameras 121a and 121b, first and second operation units 123a and 123b, a microphone 122, an interface unit 160, and the like.

1B and 1C, a display unit 151, a first sound output unit 152a, a proximity sensor 141, an illuminance sensor 142, an optical output unit (not shown) A first camera 121a and a first operation unit 123a are arranged on the side of the terminal body and a second operation unit 123b, a microphone 122 and an interface unit 160 are disposed on a side surface of the terminal body, And a mobile terminal 100 having a second sound output unit 152b and a second camera 121b disposed on a rear surface thereof.

However, these configurations are not limited to this arrangement. These configurations may be excluded or replaced as needed, or placed on different planes. For example, the first operation unit 123a may not be provided on the front surface of the terminal body, and the second sound output unit 152b may be provided on the side surface of the terminal body rather than the rear surface of the terminal body.

The display unit 151 displays (outputs) information processed by the mobile terminal 100. For example, the display unit 151 may display execution screen information of an application program driven by the mobile terminal 100 or UI (User Interface) and GUI (Graphic User Interface) information according to the execution screen information .

The display unit 151 may be a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display display, a 3D display, and an e-ink display.

In addition, the display unit 151 may exist in two or more depending on the embodiment of the mobile terminal 100. In this case, the mobile terminal 100 may be provided with a plurality of display portions spaced apart from each other or disposed integrally with one another, or may be disposed on different surfaces, respectively.

The display unit 151 may include a touch sensor that senses a touch with respect to the display unit 151 so that a control command can be received by a touch method. When a touch is made to the display unit 151, the touch sensor senses the touch, and the control unit 180 generates a control command corresponding to the touch based on the touch. The content input by the touch method may be a letter or a number, an instruction in various modes, a menu item which can be designated, and the like.

The touch sensor may be a film having a touch pattern and disposed between the window 151a and a display (not shown) on the rear surface of the window 151a, or may be a metal wire . Alternatively, the touch sensor may be formed integrally with the display. For example, the touch sensor may be disposed on a substrate of the display or inside the display.

In this way, the display unit 151 can form a touch screen together with the touch sensor. In this case, the touch screen can function as a user input unit 123 (see FIG. 1A). In some cases, the touch screen may replace at least some functions of the first operation unit 123a.

The first sound output unit 152a may be implemented as a receiver for transmitting a call sound to a user's ear and the second sound output unit 152b may be implemented as a loud speaker for outputting various alarm sounds or multimedia playback sounds. ). ≪ / RTI >

The window 151a of the display unit 151 may be provided with an acoustic hole for emitting the sound generated from the first acoustic output unit 152a. However, the present invention is not limited to this, and the sound may be configured to be emitted along an assembly gap (for example, a gap between the window 151a and the front case 101) between the structures. In this case, the appearance of the mobile terminal 100 can be made more simple because the hole formed independently for the apparent acoustic output is hidden or hidden.

The optical output unit 154 is configured to output light for notifying the occurrence of an event. Examples of the event include a message reception, a call signal reception, a missed call, an alarm, a schedule notification, an email reception, and reception of information through an application. The control unit 180 may control the light output unit 154 to terminate the light output when the event confirmation of the user is detected.

The first camera 121a processes an image frame of a still image or a moving image obtained by the image sensor in the photographing mode or the video communication mode. The processed image frame can be displayed on the display unit 151 and can be stored in the memory 170. [

The first and second operation units 123a and 123b may be collectively referred to as a manipulating portion as an example of a user input unit 123 operated to receive a command for controlling the operation of the mobile terminal 100 have. The first and second operation units 123a and 123b can be employed in any manner as long as the user is in a tactile manner such as touch, push, scroll, or the like. In addition, the first and second operation units 123a and 123b may be employed in a manner that the user operates the apparatus without touching the user through a proximity touch, a hovering touch, or the like.

In this figure, the first operation unit 123a is a touch key, but the present invention is not limited thereto. For example, the first operation unit 123a may be a mechanical key, or a combination of a touch key and a touch key.

The contents input by the first and second operation units 123a and 123b can be variously set. For example, the first operation unit 123a receives a command such as a menu, a home key, a cancellation, a search, and the like, and the second operation unit 123b receives a command from the first or second sound output unit 152a or 152b The size of the sound, and the change of the display unit 151 to the touch recognition mode.

On the other hand, a rear input unit (not shown) may be provided on the rear surface of the terminal body as another example of the user input unit 123. The rear input unit is operated to receive a command for controlling the operation of the mobile terminal 100, and input contents may be variously set. For example, commands such as power on / off, start, end, scrolling, and the like, the size adjustment of the sound output from the first and second sound output units 152a and 152b, And the like can be inputted. The rear input unit may be implemented as a touch input, a push input, or a combination thereof.

The rear input unit may be disposed so as to overlap with the front display unit 151 in the thickness direction of the terminal body. For example, the rear input unit may be disposed at the rear upper end of the terminal body such that when the user holds the terminal body with one hand, the rear input unit can be easily operated using the index finger. However, the present invention is not limited thereto, and the position of the rear input unit may be changed.

When a rear input unit is provided on the rear surface of the terminal body, a new type of user interface using the rear input unit can be realized. When the first operation unit 123a is not disposed on the front surface of the terminal body in place of at least a part of the functions of the first operation unit 123a provided on the front surface of the terminal body, The display unit 151 may be configured as a larger screen.

Meanwhile, the mobile terminal 100 may be provided with a fingerprint recognition sensor for recognizing the fingerprint of the user, and the controller 180 may use the fingerprint information sensed through the fingerprint recognition sensor as authentication means. The fingerprint recognition sensor may be embedded in the display unit 151 or the user input unit 123.

The microphone 122 is configured to receive the user's voice, other sounds, and the like. The microphone 122 may be provided at a plurality of locations to receive stereophonic sound.

The interface unit 160 is a path through which the mobile terminal 100 can be connected to an external device. For example, the interface unit 160 may include a connection terminal for connection with another device (for example, an earphone or an external speaker), a port for short-range communication (for example, an infrared port (IrDA Port), a Bluetooth port A wireless LAN port, or the like), or a power supply terminal for supplying power to the mobile terminal 100. The interface unit 160 may be implemented as a socket for receiving an external card such as a SIM (Subscriber Identification Module) or a UIM (User Identity Module) or a memory card for storing information.

And a second camera 121b may be disposed on a rear surface of the terminal body. In this case, the second camera 121b has a photographing direction which is substantially opposite to that of the first camera 121a.

The second camera 121b may include a plurality of lenses arranged along at least one line. The plurality of lenses may be arranged in a matrix form. Such a camera can be named an 'array camera'. When the second camera 121b is configured as an array camera, images can be taken in various ways using a plurality of lenses, and a better quality image can be obtained.

The flash 124 may be disposed adjacent to the second camera 121b. The flash 124 shines light toward the subject when the subject is photographed by the second camera 121b.

And a second sound output unit 152b may be additionally disposed in the terminal body. The second sound output unit 152b may implement a stereo function together with the first sound output unit 152a and may be used for implementing a speakerphone mode in a call.

The terminal body may be provided with at least one antenna for wireless communication. The antenna may be embedded in the terminal body or formed in the case. For example, an antenna constituting a part of the broadcast receiving module 111 (see FIG. 1A) may be configured to be able to be drawn out from the terminal body. Alternatively, the antenna may be formed in a film type and attached to the inner surface of the rear cover 103, or a case including a conductive material may be configured to function as an antenna.

The terminal body is provided with a power supply unit 190 (see FIG. 1A) for supplying power to the mobile terminal 100. The power supply unit 190 may include a battery 191 built in the terminal body or detachable from the outside of the terminal body.

The battery 191 may be configured to receive power through a power cable connected to the interface unit 160. In addition, the battery 191 may be configured to be wirelessly chargeable through a wireless charger. The wireless charging may be implemented by a magnetic induction method or a resonance method (magnetic resonance method).

The rear cover 103 is configured to be coupled to the rear case 102 so as to cover the battery 191 to restrict the release of the battery 191 and to protect the battery 191 from external impact and foreign matter . When the battery 191 is detachably attached to the terminal body, the rear cover 103 may be detachably coupled to the rear case 102.

The mobile terminal 100 may be provided with an accessory that protects the appearance or supports or expands the function of the mobile terminal 100. [ One example of such an accessory is a cover or pouch that covers or accommodates at least one side of the mobile terminal 100. [ The cover or pouch may be configured to interlock with the display unit 151 to expand the function of the mobile terminal 100. Another example of an accessory is a touch pen for supplementing or extending a touch input to the touch screen.

The present invention relates to a mobile terminal equipped with an artificial intelligence agent. Before describing the present invention, an artificial intelligent agent will be described in detail.

An agent is an autonomous process that performs work on behalf of a user for a specific purpose. Here, the agent is not a concept existing independently but can be understood as software installed in the mobile terminal. However, the present invention is not limited to this, and the agent may be a system including a mobile terminal, a server capable of wireless communication with the mobile terminal, and the like. The agent interacts with the user and the external environment through the components included in the mobile terminal 100. [

Specifically, the agent receives the command information from the user through the components included in the mobile terminal 100, and determines a specific control to be performed based on the command information. Thereafter, the agent receives the information necessary for performing the specific control through the components included in the mobile terminal 100.

In this specification, the information received from the user to specify the control to be performed by the agent is defined as command information. The command information may be input by various means, and may be in different formats according to the input means. For example, the command information can be input using at least one of voice input means, video input means, and text input means.

The agent can be classified into a speech recognition-based agent, a text-based agent, and the like, according to a means for inputting command information.

For example, the voice recognition based agent receives command information including voice information through the microphone 122 included in the mobile terminal 100, and performs control related to the received voice information.

In another example, the text-based agent receives textual command information from a user via the touch screen 151 and performs control associated with the received text.

On the other hand, the command information may include various types of information. For example, the command information may include a type of a function that can be operated in the mobile terminal, a start / end point of the function execution, a start / end condition of the function execution, and the like.

Meanwhile, the artificial intelligence agent described in this specification uses the artificial intelligence unit 130 to analyze the meaning of the command information. Specifically, when the command information is composed of natural language, the artificial intelligent agent analyzes the nature of the user's intended task using the natural language processing function of the artificial intelligence unit 130. [ That is, the artificial intelligent agent extracts the types of functions that can be operated in the mobile terminal, the start / end point of the function execution, the start / end condition of the function execution, and the like based on the instruction information made up of the natural language.

In addition, the artificial intelligence agent predicts (or inferences) the operation of at least one mobile terminal executable from the instruction information using the information learned by the above-described machine learning technique, and the at least one predicted operation The mobile terminal is controlled to perform the most realistic operation.

Although the artificial intelligent agent controls the elements of the mobile terminal in the above description, since the artificial intelligent agent 130 is implemented substantially by the artificial intelligent agent 130, Can be explained by the control. That is, the control by the artificial intelligence agent 130 and the control by the artificial intelligence unit 130 are substantially the same in this specification.

Meanwhile, the artificial intelligent agent according to the present invention can be applied to various kinds of agents. For example, the artificial intelligence agent according to the present invention can be applied to a speech recognition based agent and a text based agent, respectively. Hereinafter, such an application example will be described.

First, an artificial intelligence agent implemented on the basis of speech recognition will be described.

In the case of the speech recognition-based agent, the voice received from the user is received via the microphone 122. At this time, there may arise a problem that sounds such as ambient noise, conversation, etc. are recognized as command information. For example, a person's voice output from the TV can be recognized as command information.

In order to clearly distinguish between the ambient noise and the command information to be uttered by the user, the voice recognition based agent can recognize the voice information received later as command information only when the voice of the specific keyword is recognized. For example, the voice recognition-based agent can recognize the voice information received later as command information only when a voice called "Hello LG" is recognized.

In this specification, a state in which a specific keyword is recognized and subsequently received voice information is recognized as command information is defined as a state in which voice recognition is activated. According to this definition, the voice of the specific keyword can be distinguished from the command information. In this specification, the voice of the specific keyword is referred to as a " wake-up signal ". That is, the wake up signal is a voice signal that activates voice recognition of the agent.

Meanwhile, the wake up signal can be understood as a voice signal for activating the agent software in addition to activating the voice recognition of the agent.

On the other hand, the voice recognition-based agent recognizes only the voice information received for a predetermined time after the wake-up signal is recognized as command information, switches the voice recognition to the inactive state when voice information is not received for a predetermined time, It is possible to switch the speech recognition to the inactive state.

The speech recognition based agent has been described above. Hereinafter, the user interface of the voice recognition based agent utilizing the Wake up signal will be described.

2 and 3 are conceptual diagrams illustrating an embodiment of executing a voice recognition based agent provided in a mobile terminal.

The user can execute a speech recognition based agent by uttering a specific keyword. Referring to FIG. 2, when a user fires a Wake up signal 220 ("Hello LG!"), An AI agent is executed.

Here, the mobile terminal may keep the microphone 122 always in a driving state in order to receive the wake up signal 220 from the user. However, the mobile terminal does not perform any control by the received voice information until receiving the wake up signal 220. [

When the wake up signal 220 is received, the mobile terminal executes the voice recognition based agent and displays the execution screen 230 of the voice recognition based agent instead of the currently displayed screen information 210a. The displayed screen information may be a home screen of the mobile terminal or an execution screen of the application. On the other hand, the execution object of the speech recognition-based agent may display a graphic object for informing whether speech recognition is activated or not.

Meanwhile, when the wake up signal 220 is received, the mobile terminal displays an execution screen of the voice recognition based agent and can activate the voice recognition. That is, when the wake up signal 220 is received, the mobile terminal may execute the voice recognition based agent and immediately activate voice recognition. At this time, a graphic object 240 (hereinafter, referred to as a "microphone icon") for informing whether voice recognition is activated and a phrase 241 indicating that voice recognition is activated may be displayed.

On the other hand, when the mobile terminal receives the wake up signal 220, it can execute only the voice recognition based agent and not activate the voice recognition.

Referring to FIG. 3, when the mobile terminal receives the messenger wake up signal 220, the mobile terminal executes the voice recognition based agent and displays the execution screen 230 of the voice recognition based agent. Here, speech recognition is in an inactive state, and a microphone icon indicates that speech recognition is in a deactivated state.

On the other hand, as described with reference to FIG. 2, when the voice information is received while the voice recognition is active, or when the voice information is not input for a predetermined period of time, the voice recognition may be switched to the inactive state.

As described above, the voice recognition based agent may be in an inactive state, and the user can activate voice recognition in various ways.

4 and 5 are conceptual diagrams illustrating an embodiment in which a user activates speech recognition during speech recognition based agent execution.

First, the user can activate speech recognition through touch input to the touch screen 151. [ Referring to FIG. 4, the microphone icon 240 may be displayed in two states 240a and 240b depending on whether voice recognition is activated or not. In this specification, when the microphone icon 240 guides the disabled state of speech recognition, it is referred to as a microphone icon 240a in an off state, and when the microphone icon 240 indicates an activated state of speech recognition, Express.

Referring to FIG. 4, when a touch is applied to a microphone icon 240a in an off state in which a microphone icon 240a in an off state is displayed, the mobile terminal switches voice recognition to an active state, (240b).

5, the mobile terminal may activate speech recognition when a specific keyword 510 is received via the microphone 122. [0052] FIG. Here, the specific keyword 510 may be the same as the Wake up signal described with reference to FIGS.

As described in FIGS. 4 and 5, the user can activate speech recognition using the touch screen 151 and the microphone 122. After speech recognition is activated, the user can speak and apply command information.

6 is a conceptual diagram illustrating an embodiment for performing control related to voice information applied to a voice recognition-based agent.

Referring to Fig. 6, a voice signal 610 ("ought to pick up an umbrella tomorrow") is displayed while the microphone icon 240b in the ON state is being displayed. When the artificial intelligence agent according to the present invention is applied to a speech recognition based agent, the artificial intelligence agent converts the received speech signal into text and interprets the meaning of the converted text. The artificial intelligence agent performs control to provide tomorrow's weather information according to the analysis result. At this time, the artificial intelligence agent can utilize a server capable of wireless communication with the mobile terminal to search for tomorrow's weather. The artificial intelligence agent displays the search result 620 on the touch screen 151 when the tomorrow's weather search is completed.

As described above, by using the voice recognition based agent, the user can perform various functions without contacting the mobile terminal.

Meanwhile, the object of the artificial intelligence agent according to the present invention is not limited to the speech recognition based agent. For example, the artificial intelligence agent according to the present invention can be applied to a text based agent.

7 is a conceptual diagram illustrating an embodiment of a text-based agent.

Referring to FIG. 7, the text-based agent may be executed by touch input to the icon 710 corresponding to the agent. That is, the text-based agent can be executed in the same manner as a general application execution method.

The run screen 720 of the text based agent may be similar to the run screen of the instant messenger application. When the user inputs the text 730 into the text input window and touches the transmission button, the text-based agent to which the artificial intelligent agent is applied recognizes the text input to the text input window as command information, . The artificial intelligence agent can display the control result 740 on the execution screen 720 of the agent when the control is completed.

When the command information is applied in the form of text, there is no possibility of peripheral noise or the like. Therefore, the wake up signal is not used in the text-based agent.

In the foregoing, an artificial intelligence agent implemented based on speech recognition and text has been described. In the case of a speech recognition based agent, there is a disadvantage that it is difficult to apply voice information in case of a severe ambient noise. In the case of a text-based agent, since a user must directly input a text message, There is a problem that it takes a long time.

When the command information is applied to the artificial intelligence agent using the camera included in the mobile terminal, a problem arising in the artificial intelligence agent implemented on the basis of the speech recognition and the text can be solved. In addition, when command information in the form of image information is applied to the artificial intelligence agent, the artificial intelligence agent can perform more various controls.

The artificial intelligence agent according to the present invention enables a user to apply command information through a camera, and the artificial intelligence agent performs information related to image information through a camera. Hereinafter, the control flow of the artificial intelligence unit 130 and the control unit 180 for implementing this will be briefly described.

The control by the controller 180 may be performed by the artificial intelligence unit 130. The control of the controller 180 may be performed by the artificial intelligence unit 130. For example,

8 is a flowchart showing a control method of a mobile terminal according to the present invention.

First, the control unit 130 according to the present invention detects whether a camera activation event is generated (S810) while the execution screen of the artificial intelligence agent is displayed. Meanwhile, the camera activation event can also be detected by the artificial intelligence unit 130. The camera activation event can occur in a variety of situations.

For example, the camera activation event may be generated when a preset touch input is applied, when voice information of a specific keyword is detected, when the context of the voice information satisfies a certain condition, or when video information is required to perform a specific control have. Specific embodiments thereof will be described later.

Next, when a camera activation event is generated, the control unit 180 activates the camera (S820).

When the camera is activated, the control unit 180 may display the image information on the execution screen of the artificial intelligence agent so that the user can confirm the image information received through the camera. Accordingly, even if the camera is activated during execution of the artificial intelligence agent, the execution screen of the artificial intelligence agent does not need to be switched to the camera execution screen. However, the controller 180 does not necessarily display the image information received through the camera on the execution screen of the artificial intelligence agent.

Next, the artificial intelligence unit 130 performs control relating to the image information received through the camera while the artificial intelligent agent is in operation (S830).

The artificial intelligence unit 130 may perform control using image information received through a camera.

Here, in the control related to the image, when a product list including at least one product is recognized in the image information, a recommended product list including at least a part of the at least one product is generated using the product list Lt; / RTI >

The artificial intelligence unit 130 may extract a product order record of the user related to the recognized product list and generate the recommended product list based on the product order record.

However, the control related to the image information is not limited to generating the above-mentioned recommended goods list, and other embodiments will be described later.

Meanwhile, the artificial intelligence unit 130 may receive command information (information received through an artificial intelligence agent (for example, information received in at least one form of voice information and text information) other than image information) Control can be performed together. Meanwhile, the other command information may be received at least one of before and after the camera is activated. This will be described later.

Finally, the control unit 180 may output the control execution result to at least a part of the execution screen of the artificial intelligence agent.

Here, the control execution result may be at least one of at least a part of the execution image of the specific application, at least one of the information generated by the artificial intelligence unit 130 and the image information received through the camera, but is not limited thereto. The control execution result may be any kind of screen information that can display the result of the control performed by the artificial intelligence unit 130.

For example, when the artificial intelligence unit 130 performs control to generate the recommended goods list, the control unit 180 displays the recommended goods list generated by the artificial intelligence unit 130 as artificial intelligence It can be displayed on the execution screen of the agent. Accordingly, the user can confirm the control execution result related to the image information received through the camera on the execution screen of the artificial intelligence agent.

Meanwhile, if there is a user request during the display of the control execution result, the artificial intelligence unit 130 may perform control related to the control execution result. A specific embodiment of this will be described later in Figs. 18A and 18B.

The control flow of the artificial intelligence unit 130 and the control unit 180 according to the present invention has been briefly described above. Hereinafter, the artificial intelligence agent according to the present invention will be described in detail with concrete examples.

Herein, for convenience of description, the artificial intelligent agent is applied to the speech recognition based agent as an example (FIGS. 3 to 7), but the present invention is not limited thereto. Can also be applied to other agents (e.g., text based agents).

Figs. 9 to 11 are conceptual diagrams showing an embodiment for displaying image information received through a camera in at least a part of an execution screen of an artificial intelligence agent. Fig.

First, the camera activation event described with reference to FIG. 8 will be described.

The camera activation event may be that a predetermined touch input is applied. The control unit 180 activates the camera when the predetermined touch input is applied while the execution screen of the artificial intelligent agent is displayed, and displays the image received through the camera on the execution screen of the artificial intelligent agent. Here, the preset touch input may be a force touch, a flicking touch input, or the like. However, the present invention is not limited thereto.

For example, referring to FIG. 9, when the force touch 920 is applied to the microphone icon 240a in the off state, the camera is activated and the image information 910 received through the camera is displayed on the execution screen of the artificial intelligence agent 230). ≪ / RTI >

When the camera 121 is activated, the controller 180 displays the image information on the execution screen of the artificial intelligence agent so that the user can confirm the image information received through the camera. That is, even if the camera 121 is activated, the control unit 180 displays the image information without overlapping with the execution screen of the artificial intelligence agent.

However, the present invention is not limited to this, and the controller 180 may display a camera application execution screen when the camera is activated, and the artificial intelligence agent may be executed in the background.

On the other hand, the control unit 180 may gradually display the image information received through the camera for a predetermined time after the predetermined touch input is applied.

Specifically, the control unit 130 can gradually increase the display area of the image information received through the camera. However, the present invention is not limited to this, and the controller 130 may gradually display the image information received through the camera for a predetermined period of time by gradually increasing the sharpness of the image information received through the camera.

On the other hand, when the preset touch input is released before the predetermined time passes, the controller 180 may stop displaying the image information.

Referring to FIG. 10, when the preset touch input 1010 is applied, the controller 180 gradually displays image information received through the camera. The control unit 180 displays the image information at a predetermined size when a predetermined time passes after the preset touch input 1010 is applied. After the image information is displayed at a predetermined size, the image information does not disappear even if the predetermined touch input 1010 is released.

Meanwhile, when the predetermined touch input 1010 is maintained for the predetermined time, the control unit 180 may display a control execution result related to the image information.

On the other hand, if the preset touch input 1010 is released while the size of the image information is increasing, the controller 180 stops displaying the image information and deactivates the camera.

The image information display method described with reference to FIG. 10 may be utilized as a means for securing a time for performing control related to image information received through a camera or for confirming a user's intention once again. This will be described later.

Meanwhile, the camera activation event may be a voice signal of a specific keyword. The control unit 180 can activate the camera when a voice signal of a specific keyword is received. Here, the specific keyword for activating the camera may be different from the Wake up signal.

On the other hand, the controller 180 can activate the camera when the voice signal of the specific keyword is received regardless of whether voice recognition is activated or not.

For example, referring to FIG. 11, when a speech signal of a specific keyword 1110 is received while speech recognition is inactivated while the execution screen 230 of the artificial intelligence agent is displayed, the camera starts to be driven, The image information 910 received through the camera is displayed.

9 to 11, the controller 180 switches the state of the artificial intelligence unit 130 to a state in which the artificial intelligence unit 130 can perform control related to the image information received through the camera, based on the camera activation event.

Hereinafter, the control of the artificial intelligence unit 130 will be described after the image information received through the camera is displayed on the execution screen of the artificial intelligence agent.

12A to 12C are conceptual diagrams illustrating an embodiment for performing control related to an object recognized in the image information displayed on the execution screen of the artificial intelligence agent.

The artificial intelligence unit 130 recognizes a specific object from the image information displayed on the execution screen of the artificial intelligence agent. The artificial intelligence unit 130 can perform a control related to the recognized object when a specific object is recognized from the image information.

Here, the control associated with the recognized object may be to provide information about the recognized object, order the goods corresponding to the recognized object, and the like.

For example, referring to FIG. 12A, the artificial intelligence unit 130 determines whether a specific object 1210 (FIG. 12) is displayed in the image information 910 while the image information 910 received through the camera is received on the execution screen of the artificial intelligence agent May be provided, information related to the particular object 1210 may be provided. At this time, a graphic object 240c indicating that a specific object is recognized in the image information may be displayed on the execution screen of the artificial intelligence agent. The graphic object 240c may be displayed until the information search associated with the specific object 1210 is completed. Then, information 1230 related to the specific object 1210 may be displayed on the touch screen 151.

Meanwhile, the information related to the specific object 1210 may vary depending on the type of object. For example, when a specific object is a commodity that can be purchased, the information related to the specific object may be a product name, a product characteristic, a price, the existence of another similar commodity, a product recommendation reflecting a user's taste, and the like.

Meanwhile, although not shown, the artificial intelligence unit 130 may output a list of images when images similar to the specific object 1210 are searched. Here, the images may be at least one of images stored in the mobile terminal and images stored in the specific server. If the images are images stored in a specific server, the user can save a specific image through touch input to the list.

This allows the user to obtain information about a specific object even if the user does not know the name of the specific object.

For example, referring to FIG. 12B, a payment for a product corresponding to an object recognized in the image information may be performed. Here, the artificial intelligence unit 130 can use audio information and image information together. Specifically, the user can apply an instruction (1240, "drink order") to order the goods in the speech recognition enabled state. After that, the artificial intelligence unit 130 may output a message 1250 asking for a product to be ordered. At this time, when the predetermined touch input 1260 is applied to the microphone icon 240, the camera is activated and the image information 1270 received through the camera can be displayed on the execution screen of the artificial intelligence agent.

At this time, the artificial intelligence unit 130 may display the graphic object 1271 that guides the recognized object when the specific object is recognized in the image 1270. [ Although not shown, when there are a plurality of objects to be recognized, graphical objects can be displayed to guide each of the recognized objects.

If the predetermined touch input 1260 is maintained for a predetermined time after the specific object is recognized in the image information 1270, the artificial intelligence unit 130 can perform settlement corresponding to the recognized specific object . At this time, a phrase 1270 indicating that payment is being performed may be displayed while the predetermined touch input 1260 is maintained. Thereafter, when the settlement is completed, the settlement completion phrase 1280 may be displayed.

The embodiment described in FIG. 12B can be performed in a specific store, and the user can take an image of the menu board and complete the order. According to the embodiment of FIG. 12B, since the user can order only by photographing a specific item, the user does not need to know the name of the item.

12C, the artificial intelligence unit 130 cancels the payment when the predetermined touch input is canceled 1261 before the settlement is completed, and at the same time, ) Can be displayed. Accordingly, the mobile terminal according to the present invention can provide the user with an opportunity to cancel the payment while the payment is being performed.

Meanwhile, although not shown, when a plurality of objects are recognized in the image information displayed on the execution screen of the artificial intelligence agent, the artificial intelligence unit 130 may select an object corresponding to the goods to be charged from the user. At this time, the user can select at least one of the recognized plurality of objects through the touch screen 151 or the microphone 122.

Meanwhile, the mobile terminal according to the present invention can allow a user to select an image to be used for object recognition.

13A and 13B are conceptual diagrams illustrating an embodiment of performing control related to an object recognized in an image selected by the user.

The control unit 180 selects an image to be recognized by the user while the image received through the camera is displayed on the execution screen of the artificial intelligence agent.

For example, referring to FIG. 13A, when the image information 910 received through the camera is displayed, the control unit 180 displays a graphic object 1310 (hereinafter, ). When a touch is applied to the photographing icon 1310, the controller 180 stores the image received through the camera, and the AI 130 performs control corresponding to the recognized object in the stored image.

Accordingly, the mobile terminal according to the present invention allows the user to select the image information to be input to the artificial intelligence agent, and to select the control start point related to the image information.

Meanwhile, the mobile terminal according to the present invention may utilize the method of gradually displaying the image information described in FIG. 10 so that the user can select image information to be input to the artificial intelligence agent.

13B, when the predetermined touch input 1330 is applied to the microphone icon 240a, the controller 130 gradually displays 1340 the image information received through the camera for a predetermined time.

The controller 180 drives the camera from the point of time when the predetermined touch input 1330 is applied and the artificial intelligence unit 130 recognizes the object from the image information received through the camera for the predetermined time, And performs related information.

That is, the artificial intelligence unit 130 performs control related to the image information until the image information received through the camera is completely displayed. When the user keeps the predetermined touch input 1330 without rotating the camera until the image information received through the camera is completely displayed, the AI 130 displays the image information received through the current camera It is regarded as the image information to be input.

When the predetermined touch input 1330 is released within the predetermined time, the controller 180 deactivates the camera and stops displaying the image information received through the camera.

Accordingly, the mobile terminal according to the present invention can secure a time from the generation of the camera activation event to the completion of the control related to the image information. Also, according to the present invention, the user can cancel the control execution while the control related to the image information is being performed.

In the above description, the artificial intelligent agent performs control related to the image information received through the camera.

Hereinafter, various modified embodiments of the artificial intelligence agent according to the present invention will be described.

The artificial intelligent agent can determine the processing method of the image information received through the camera using the audio information received through the microphone 122. [

FIG. 14 is a conceptual diagram illustrating an embodiment in which an artificial intelligent agent determines a processing method of image information received through a camera using audio information received through a microphone.

The artificial intelligence unit 130 receives the voice information through the microphone 122 when the voice recognition activation event is generated while the image information received through the camera is displayed on the execution screen of the artificial intelligence agent, Information and the image information displayed on the execution screen.

For example, referring to FIG. 14, the controller 180 displays the image information 1410 photographed by the camera based on the camera activation event 1410 on the execution screen of the artificial intelligence agent. At this time, the control unit 180 displays the microphone icon 240a and the picture taking icon 1310, respectively.

When a touch is applied to the microphone icon 240a, the control unit 180 stores the image information received through the camera and switches the voice recognition to the active state together with the phrase 1420 asking how to process the stored image information . The artificial intelligence unit 130 performs control related to the voice information 1430 received after voice recognition is activated using the stored image information. The artificial intelligence unit 130 transmits the image information stored in the other user corresponding to the face recognized in the stored image information, and displays the transmission result 1440.

In the above description, the embodiment has been described in which the processing method of the received video information is determined using the audio information received through the microphone 122. [ Meanwhile, the artificial intelligence unit 130 may determine whether to activate the camera based on the received voice information.

Hereinafter, an embodiment will be described in which the context of the voice information received via the microphone 122 is recognized, and further activation of the camera is determined.

FIG. 15 is a conceptual diagram showing an embodiment in which an artificial intelligent agent performs control based only on voice information, and FIG. 16 is a conceptual diagram illustrating an embodiment in which an artificial intelligent agent recognizes a context of voice information and activates a camera.

When the audio information is received through the microphone, the artificial intelligence unit 130 determines whether the control corresponding to the audio information can be performed only with the received audio information.

15, when the control for the information corresponding to the voice uttered by the user is specified by the information display for the specific object, the AI 130 uses the audio information Function.

As shown in the figure, when the information confirming object is specified through voice, the artificial intelligence unit 130 can retrieve information about the specified article.

On the other hand, when the artificial intelligence unit 130 can not specify the function or control to be performed in the voice information, additional information is input.

The artificial intelligence unit 130 may receive additional information from a user using various input means. For example, the artificial intelligence unit 130 may receive additional voice information by inducing a user's utterance, receive additional information in a text format by inducing additional input, or activate the camera to receive additional information including video information .

For example, as shown in FIG. 16, when a user applies an audio signal "Order This" 1611 to the artificial intelligence agent, the artificial intelligence unit 130 can not specify the object to be ordered do.

In this case, the artificial intelligence unit 130 activates the camera to receive additional information in the form of image information. At the same time, the control unit 180 can output the announcement message 1520 to specify "this ".

Then, the artificial intelligence unit 130 performs control related to the audio information using the image information received through the camera. Specifically, the artificial intelligence unit 130 recognizes a specific object in the image information received through the camera, and performs control related to the audio information using the object recognition result.

The artificial intelligence unit 130 displays the image information 910 received through the camera on the execution screen of the artificial intelligence agent when the touch is applied to the photographing icon 1310, (910), and recognizes the object from the stored image information. The artificial intelligence unit 130 specifies an object recognized in the stored image information as "this" in the voice information 1611, and orders a product corresponding to the recognized object. Thereafter, the control unit 180 displays the order result 1630.

On the other hand, although not shown, the artificial intelligence unit 130 can select the type of object to be recognized from the image information based on the context recognition result. For example, when voice information "Order clothes" is received instead of voice information 1611 in FIG. 16, the artificial intelligence unit 130 may limit an object to be recognized in the image information to clothes. Accordingly, the artificial intelligence unit 130 can improve the object recognition accuracy.

In the above description, the artificial intelligent agent recognizes the context of the voice information and activates the camera. Hereinafter, an embodiment will be described in which the camera is activated when the artificial intelligent agent requires image information to perform control related to voice information.

17 is a conceptual diagram showing an embodiment in which the artificial intelligent agent activates the camera as needed in performing control related to voice information.

Referring to Fig. 17, the artificial intelligence unit 130 judges that a moving image shooting function should be performed based on the voice information "make a work today as an image" 1710, activates the camera, Start. At this time, a movie shooting screen may be displayed on the execution screen of the artificial intelligence agent.

Thereafter, when a touch is applied to the microphone icon 240a, the control unit 130 stops capturing a moving image, outputs a phrase 1720 asking how to process the captured image, and switches the voice recognition to the activated state.

The artificial intelligence unit 130 judges that the video reproduction is scheduled based on the voice information 1730 "Turn on the anniversary", retrieves the information corresponding to the "anniversary" from the schedule information stored in the mobile terminal, Schedule playback of the video on the retrieved date. Thereafter, the artificial intelligence unit 130 displays the reservation result 1740.

Through this, the user can shoot a moving picture without switching the screen for moving picture taking while the AI agent is running.

In the above description, the embodiment has been described in which the artificial intelligent agent activates the camera when image information is required to perform control related to the received voice information. Hereinafter, embodiments in which the artificial intelligence agent performs control using various applications installed in the mobile terminal and other information collectable in the mobile terminal will be described.

The artificial intelligence unit 130 may perform control using an application installed in the mobile terminal. Specifically, the artificial intelligence unit 130 executes the specific application when it is determined that a specific application should be executed under the control related to the image information.

Here, the artificial intelligence unit 130 may execute the specific application in either the background or the foreground. At this time, the control execution result related to the image information displayed on the execution screen of the artificial intelligence agent may be the execution screen of the specific application.

Hereinafter, a method for executing the application installed in the mobile terminal and performing control related to the image information and the executed application, based on the image information received by the artificial intelligence unit 130 through the camera, We will look more closely together.

18A and 18B are conceptual diagrams showing an embodiment in which an artificial intelligent agent performs control using an application installed in a mobile terminal.

If the artificial intelligence unit 130 recognizes a product list including at least one product from the image information received through the camera, the artificial intelligence unit 130 uses the product list to display a list of recommendation goods including at least a part of the at least one product Lt; / RTI >

18A and 18B, the artificial intelligence unit 130 can display the image information 1810a received through the camera on the execution screen of the artificial intelligence agent. However, as shown in FIGS. 18A and 18B, Is not necessarily displayed.

On the other hand, when the item list is recognized, the artificial intelligence unit 130 can execute an application related to the item list. More specifically, the artificial intelligence unit 130 generates an application related to the received image among the applications installed in the mobile terminal, based on visual elements such as text, image, and logo included in the image information received through the camera Can be executed.

At this time, when there are a plurality of highly relevant applications, the artificial intelligence unit 130 may execute any one of a plurality of applications or execute an application selected by the user based on preset conditions.

Here, the predetermined condition may be determined based on priority information related to which of a plurality of apps to execute. Here, the priority information may be determined based on the number of times the application is used, the execution time of the application, and the like.

Here, the execution of the artificial intelligence agent can be done at any one of various time points. For example, the artificial intelligence agent can be executed at a specific place, at a specific time, and thus the image that can be photographed can be changed.

The artificial intelligence unit 130 may then extract the product order record of the user associated with the recognized product list in the application. At this time, the execution screen of the application may not be displayed on the touch screen 151. [

Then, the artificial intelligence unit 130 can generate the recommended goods list based on the goods order record.

The control unit 180 can display the recommended goods list in various ways.

For example, referring to FIG. 18A, when the artificial intelligence unit 130 generates the recommended goods list, the control unit 180 transmits at least one item included in the recommended list together with the image information received through the camera By displaying the guiding graphic object 1830, it is possible to guide the recommended product. At this time, the artificial intelligence unit 130 may display a phrase 1820 for selecting the menu.

18B, the control unit 180 displays the goods 1861 and 1862 included in the recommended goods list on the execution screen of the artificial intelligence agent without displaying the image information received through the camera, for example, can do. At this time, on the execution screen of the artificial intelligence agent, a phrase 1870 indicating that the recommended goods list is displayed may be displayed.

After the list of recommended products is displayed, if an arbitrary region of the recommended product list is selected by the user's touch, the artificial intelligence unit 130 determines the product the user wanted to select by the touch, It is possible to perform the control related to the purchase of the product that has been performed.

18A, when the recommended menu list is displayed in a manner guiding the recommendation menu together with the image information, the user's touch can be applied to an arbitrary area of the image information, The user can determine the product to be selected based on the position of the touch input.

As shown in FIGS. 18A and 18B, the artificial intelligence unit 130 can order a product selected by the user through the application. When the order is completed, a part 1850 of the execution screen of the application may be displayed on the execution screen of the artificial intelligence agent.

18A and 18B, the artificial intelligence unit 130 determines an application to be executed only by the image information.

Meanwhile, the artificial intelligence unit 130 can determine an application to be executed using other information collectable from the mobile terminal. Specifically, the artificial intelligence unit 130 recognizes the user's surroundings using information that can be collected from the mobile terminal.

Here, the artificial intelligence unit 130 detects GPS information and surrounding sounds (for example, "Hello Starbucks") and recognizes the user's surroundings.

Then, the artificial intelligence unit 130 executes the application associated with the recognized situation. Here, when there are a plurality of applications associated with the recognized situation, the application to be executed is determined according to the above-described priority order.

19 is a conceptual diagram showing an embodiment in which an artificial intelligence agent determines an application to be executed by utilizing other information collectable in a mobile terminal.

For example, referring to FIG. 19, when the artificial intelligence unit 130 recognizes that the user has entered a specific store based on GPS information, the artificial intelligence unit 130 determines that the user When it is recognized that a specific store has been entered, an application related to the specific store can be executed in the background. In addition, the artificial intelligence unit 130 can display a phrase 1910 specifying an object to be imaged.

On the other hand, if it is recognized that the mobile terminal has entered a specific store, the artificial intelligence unit 130 displays a preview screen 1810a on the execution screen of the artificial intelligence agent, Every time a product is recognized, a phrase 1920 for asking whether to add it to the purchase list may be displayed, or a price of a specific product, discount information, and the like may be displayed. In addition, the artificial intelligence unit 130 may display a graphic object 1930 that guides the recognized goods.

The artificial intelligence unit 130 executes an application related to the shopping mall based on the preset touch input 1930 for the recognized goods and adds the recognized goods to the purchase list. The control unit 180 receives a selection 1940 for each time a user adds a product to a purchase list or a product is added to a purchase list according to a user's request.

The artificial intelligence unit 130 performs settlement in the application corresponding to the shopping mall in response to the payment request 1950 of the user. If the application corresponding to the shopping mall has a delivery function, the control unit 180 receives (1960) whether to take the product purchased by the user or deliver it. In response to the user's delivery request (1970), the AI 130 requests delivery from the application corresponding to the shopping mall. Thereafter, the control unit 180 displays the execution screen (1980) of the specific application on the execution screen of the artificial intelligence agent, and guides the order result.

According to Fig. 19, the artificial intelligence agent determines the application to be executed using the information collectable in the mobile terminal. Meanwhile, the artificial intelligence agent according to the present invention can perform control by using information collectively available in the mobile terminal and image information together.

The artificial intelligence unit 130 recognizes the user's surroundings using information that can be collected from the mobile terminal. The artificial intelligence unit 130 defines an object to be recognized in the image information based on the recognized surrounding conditions of the user.

Here, the user's peripheral situation may be a place where the user is located, a person around the user, a physical condition of the user, and the like. The artificial intelligence unit 130 defines an object to be recognized through the camera based on the user's surrounding situation.

Specifically, when the user is located at a specific place, the artificial intelligence unit 130 may classify the object to be recognized as an object that can be photographed at a specific place. Meanwhile, the artificial intelligence unit 130 limits the recognition target to an object capable of emitting the specific sound when a specific sound is detected around the user.

Accordingly, the artificial intelligence unit 130 improves the analysis accuracy of the image information received through the camera.

For example, with reference to FIG. 20, a situation where a user is located in a vehicle will be described as an example.

20 is a conceptual diagram illustrating an embodiment in which an artificial intelligent agent defines an object to be recognized in an image using information that can be collected from a mobile terminal.

The artificial intelligence unit 130 collects GPS information and recognizes that the mobile terminal is inside the vehicle based on the amount of change of the GPS information. When the mobile terminal recognizes that the mobile terminal is located inside the vehicle, the artificial intelligence unit 130 activates the camera and displays the phrase 2010 to shoot the instrument panel of the vehicle. The artificial intelligence unit 130 first recognizes an object that may be present in the vehicle when recognizing the object in the image information 2010 displayed on the execution screen of the artificial intelligence agent.

When the instrument panel 2020 of the vehicle is recognized, the artificial intelligence unit 130 analyzes the instrument panel and provides necessary information to the user. 20, the AI 130 recognizes that the fuel of the vehicle is not sufficient based on the instrument panel and displays information (at least one recommended gas station list) 2030 related to the fuel filling . After that, the artificial intelligence unit 130 adds a gas station selected by the user 2040 as an intermediate waypoint, and causes the mobile terminal to perform the route guidance including the added intermediate way point. In addition, the AI 130 may provide necessary fuel charge information 2050 to the destination.

As described above, the artificial intelligence agent according to the present invention recognizes the user's surroundings and recognizes objects related to the user's surroundings from the image information, thereby improving the object recognition accuracy.

Meanwhile, the artificial intelligence agent according to the present invention can change a set value of a mobile terminal using an image received through a camera.

The artificial intelligence unit 130 recognizes the information related to the set value of the mobile terminal in the image information received through the camera, and changes the set value of the mobile terminal based on the recognized information.

Here, the information related to the set value may be a type (for example, a display brightness, a sound size, or the like) changeable in the mobile terminal or a set value itself (e.g., display brightness = 10, .

If the information related to the setting value recognized from the image information is a type of setting that can be changed in the mobile terminal, the artificial intelligence unit 130 may additionally receive a setting value related to the setting value from the user.

Alternatively, if the information related to the recognized set value is the set value itself, the AI 130 may be selected by the user as to whether or not to change the setting of the mobile terminal to the set value.

For example, referring to FIG. 21, a case where a user photographs screen information displayed on another terminal with a camera will be described as an example.

21 is a conceptual diagram illustrating an embodiment in which the artificial intelligence agent changes the description of the mobile terminal using image information.

The artificial intelligence unit 130 can recognize the screen information displayed on the display of the other terminal in the image information 2110 displayed on the execution screen of the artificial intelligence agent. In this case, the artificial intelligence unit 130 changes the setting of the mobile terminal using the screen information.

Specifically, the artificial intelligence unit 130 extracts a set value (Wi-Fi on, Bluetooth on, Airplane off) 2120 from the screen information, and selects 2130 whether to apply it to the mobile terminal. Based on the selection result, the AI 130 changes the setting of the mobile terminal.

As described above, the artificial intelligence agent according to the present invention can perform control using screen information displayed on other terminals. Accordingly, the user can reflect the set values of the other terminal to the mobile terminal only by photographing the image.

According to the present invention, since the image information received through the camera is applied to the artificial intelligence agent during execution of the artificial intelligence agent, and the artificial intelligence agent performs control using the applied image information, The kinds of control that can be performed are various.

Also, according to the present invention, when the camera is activated during execution of the artificial intelligence agent, the execution image of the artificial intelligence agent and the image information received through the camera are overlapped and displayed. Therefore, even if the camera is activated during execution of the artificial intelligence agent, the execution screen of the artificial intelligence agent does not need to be switched to the camera execution screen. As a result, user convenience is increased.

The user can apply the image information on the execution screen of the artificial intelligence agent without applying screen switching to the separate camera execution window in order to apply the image information to the execution screen of the artificial intelligence agent. As a result, user convenience is increased.

In addition, according to the present invention, since the artificial intelligent agent can perform a specific function only with the applied image information, the user does not need to apply voice information or text in order to execute a specific function of the artificial intelligent agent. Accordingly, the user can execute a specific function of the artificial intelligence agent using the image information in a situation where ambient noise is excessive and it is difficult to apply voice information, and a situation where there is not enough time to input a text message.

Further, according to the present invention, the user does not need to languageize the control command applied to the artificial intelligence agent. Accordingly, the user can use the artificial intelligence agent more intuitively.

The present invention described above can be embodied as computer-readable codes on a medium on which a program is recorded. The computer readable medium includes all kinds of recording devices in which data that can be read by a computer system is stored. Examples of the computer readable medium include a hard disk drive (HDD), a solid state disk (SSD), a silicon disk drive (SDD), a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, , And may also be implemented in the form of a carrier wave (e.g., transmission over the Internet). Also, the computer may include a control unit 180 of the terminal. Accordingly, the above description should not be construed in a limiting sense in all respects and should be considered illustrative. The scope of the present invention should be determined by rational interpretation of the appended claims, and all changes within the scope of equivalents of the present invention are included in the scope of the present invention.

Claims (16)

A mobile terminal having an artificial intelligence agent,
touch screen;
A camera configured to receive image information;
A controller for activating the camera based on a camera activation event when an execution screen of the artificial intelligence agent is displayed on the touch screen; And
And an artificial intelligence unit for performing control related to image information received through the camera after the camera is activated,
Wherein,
And outputs a control execution result related to the image information to at least a part of an execution screen of the artificial intelligence agent. The method according to claim 1,
The artificial intelligence unit,
Generating a recommended product list including at least a part of the at least one product using the product list when the product list including at least one product is recognized from the image information,
Wherein,
And outputs the recommended product list to at least a part of the execution screen of the artificial intelligence agent when the recommended product list is generated. 3. The method of claim 2,
The artificial intelligence unit,
Extracts a user's product order record related to the recognized product list, and generates the recommended product list based on the product order record. The method of claim 3,
The artificial intelligence unit,
And performs a control related to purchase of a product corresponding to a position where the touch input is applied when a touch input is applied to the recommended product list. The method according to claim 1,
Wherein,
Outputting image information received through the camera to at least a part of the execution screen when the camera is activated,
The artificial intelligence unit,
Wherein the control unit performs control related to at least one of command information received while the artificial intelligence agent is in operation and image information output to the execution screen. 6. The method of claim 5,
Wherein the camera activation event is a predetermined touch input when the execution screen is displayed. The method according to claim 6,
Wherein,
The image information received through the camera is progressively displayed for a predetermined time after the preset touch input is applied,
The artificial intelligence unit,
Wherein the controller performs control related to image information received through the camera while the received image information is progressively displayed. 8. The method of claim 7,
Wherein,
And outputs a control execution result related to the image information when the predetermined touch input is maintained for the predetermined time. 8. The method of claim 7,
Wherein,
When the preset touch input is released within the predetermined time from when the predetermined touch input is applied, the display of the image information received through the camera is stopped,
The artificial intelligence unit,
Wherein the control unit stops the control relating to the image information received through the camera when the predetermined touch input is released. 6. The method of claim 5,
Further comprising a microphone configured to receive voice information,
Wherein the command information includes voice information received through the microphone while the artificial intelligence agent is operating. 11. The method of claim 10,
The artificial intelligence unit,
When the voice recognition activation event is generated in a state in which the video information received through the camera is displayed on at least a part of the execution screen, the voice information is received through the microphone, and the received voice information and the video And performs control related to the information. 11. The method of claim 10,
The artificial intelligence unit,
Wherein when the voice recognition activation event is generated while the execution screen is displayed, voice information is received through the microphone and control related to the voice information is performed. 13. The method of claim 12,
The artificial intelligence unit,
Recognizes the context of the received voice information after the voice recognition activation event is generated,
Wherein the camera activation event is generated according to the context recognition result of the artificial intelligence unit. 14. The method of claim 13,
The artificial intelligence unit,
Wherein the control unit performs control related to the voice information using the image information received through the camera when the camera is driven according to the context recognition result. 15. The method of claim 14,
The artificial intelligence unit,
Wherein the control unit recognizes a specific object in the image information received through the camera and performs control related to the voice information using the object recognition result. 16. The method of claim 15,
The artificial intelligence unit,
And selects a type of an object to be recognized from the image information based on the context recognition result.

Images