Lg Electronics Inc.

Ji Chan Maeng

Tae Hyun Kim

Won Ho Shin

Beom Oh Kim

Jong Hoon Chae

Taehyun Kim

A method and apparatus for controlling a massage chair have been disclosed. The method for controlling a massage chair comprises extracting multimedia information, detecting an action item, and controlling an action item. According to the present disclosure, the timing of the multimedia effect and the timing of the action item may be synchronized based on analysis using a deep neural network model through a 5G network.

Method and apparatus for controlling massage chair

An augmented reality-based device control method and a control apparatus thereof are disclosed. The augmented reality-based device control method includes obtaining a real image with a device to be controlled as a subject, as an image which configures an augmented reality (AR)-based remote controller and detecting a remote control (RC) protocol of the device to be controlled by recognizing the real image. The detecting of an RC protocol of the device to be controlled includes verifying whether the device to be controlled is controllable through a candidate RC protocol based on whether the device to be controlled operates according to the real image. According to the present disclosure, the device can be controlled based on the augmented reality using artificial intelligence (AI)-based image recognition through a 5G network.

Apparatus for controlling device based on augmented reality and method thereof

The present disclosure relates to a safety management system. The safety management system calculates a real-time data risk score and an incident data risk score based on real-time data received from a wearable device and incident data selected from big data, calculates a total risk score by summing all values obtained by multiplying calculated risk for respective data by weights for respective data, compares the total risk store with a preset threshold score, and transmits a dangerous situation message to a risk recognition subject when it is determined that a user is at risk. The safety management system of the present disclosure may transmit the real-time data, the incident data, and the dangerous situation message using a 5G communication system, and a safety management server for determining whether or not the user is at risk may be implemented using an artificial neural network.

System and method for safety management

The present disclosure provides a cooking apparatus and a method for controlling the same for analyzing changes in the internal temperature, the external temperature, and the surface of a cooking material that is being cooked, and appropriately heating the cooking material based on the analysis result to cook the same. In particular, the intensity of heat emitted toward the cooking material from a heater or the cooking time may be controlled using an artificial intelligence (AI) model, which executes machine learning (ML) over a 5G network, such that the cooking material is appropriately cooked in accordance with a change in the surface of the cooking material and a change in a thermal image representing the internal temperature and the external temperature of the cooking material.

Cooking apparatus for determining cooked-state of cooking material and control method thereof

Disclosed is a vehicle air conditioning control method which operates a vehicle air conditioning control apparatus by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things. The vehicle air conditioning control method includes acquiring a thermal image in a vehicle using an image sensor, acquiring thermal comfort information of each passenger in the vehicle using the thermal image, and controlling air conditioning of the vehicle based on the thermal comfort information of each passenger.

Apparatus and method for controlling air conditioning of vehicle

A method of controlling audio collection for an image capturing device can include receiving image data from an image capturing device; recognizing one or more objects from the image data; determining a first object having a possibility of generating audio among the one or more objects; and collecting audio from the first object by moving a microphone beamforming direction of the image capturing device to be directed toward the first object in response to a determination that the first object is an object having a possibility of generating audio.

Approach photographing device and method for controlling the same

Disclosed are an information providing device and an information providing method, which provide information enabling a conversation with a user by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet-of-Things. An information providing method according to one embodiment of the present disclosure includes gathering first situational information from a home monitoring device, gathering, from the first electronic device, second situational information corresponding to the first situational information, gathering, from the home monitoring device, third situational information containing a behavioral change of the user after gathering the first situational information, generating a spoken sentence to provide to the user on the basis of the first situational information to the third situational information, and converting the spoken sentence to spoken utterance information to be output to the user.

Method and device for providing information

The present disclosure discloses a brake control system for use in a vehicle and a control method thereof. A brake control system may be configured to include a brake pad for braking the vehicle by pressing a brake disc provided in the vehicle, a measuring apparatus for measuring the vehicle speed, the wear level of the brake pad, the traveling distance of the vehicle, the braking distance of the vehicle, and the braking pressure applied by the brake pad to the brake disc at braking, and a controller connected with the measuring apparatus and for controlling an operation of the brake pad. The controller may compare an initial braking distance, which is a design value of the braking distance before initial traveling of the vehicle, with a current braking distance, which is a braking distance after traveling of the vehicle during a certain duration, and increase the braking pressure of the brake pad in response to the amount of increase in the braking distance, when the amount of increase in the braking distance, which is a difference value between the current braking distance and the initial braking distance, is out of a setting range. The brake control system may transmit and receive a wireless signal in a mobile communication network constructed according to 5G (Generation) communication.

Brake control system used in a vehicle and control method thereof

The present invention relates to a smart lighting and an operation method thereof, characterized in that the smart lighting communicates with surrounding electronic devices in a 5G communication environment, and on the basis of such communication and through machine learning, the smart lighting shows operational information of an electronic device when a control command is inputted. When a control command for an operation of an electronic device is generated by a user, information of the operation of the electronic device according to the generated control command is shown through the smart lighting, to thereby improve user convenience in using the electronic device.

Smart lighting and operation method thereof

The present disclosure relates to an apparatus which communicates with a voice recognition device, and a method for controlling an apparatus with a voice recognition capability which operates in the Internet of Things environment configured by a 5G communication network. According to an exemplary embodiment of the present disclosure, an apparatus with a voice recognition capability includes a container which has one open surface and accommodates objects therein, a door which opens/closes the container, a sensor which senses an open/closed state of the door, a microphone which receives an external voice, a voice recognizer which recognizes a voice command received from the microphone, and a controller which controls an active state and an inactive state of the voice recognizer, in which the controller may predict whether the voice recognizer needs to be activated using a deep neural network model learned through the machine learning.

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Seoul, South Korea

Ji Chan Maeng