Artificial intelligence device for controlling external device

Patent metadata

Field	Value
Publication number	US-2020005145-A1
Application number	US-201916562956-A
Country	US
Kind code	A1
Filing date	Sep 6, 2019
Priority date	Aug 2, 2019
Publication date	Jan 2, 2020
Grant date	—

Abstract

An artificial intelligence device for controlling an external device includes a display unit, and a processor configured to acquire a distance between the artificial intelligence device and a first external device, determine whether the acquired distance is less than a reference distance, display a first operation menu item for controlling the first external device on the display unit when the acquired distance is less than the reference distance, acquire situation information when the acquired distance is equal to or greater than the reference distance, determine a second external device as an object to be controlled based on the acquired situation information, and display a second operation menu item for controlling the determined second external device on the display unit.

First claim

What is claimed is:

1 . An artificial intelligence device for controlling an external device, the artificial intelligence device comprising:
a display unit; and a processor configured to acquire a distance between the artificial intelligence device and a first external device, determine whether the acquired distance is less than a reference distance, display a first operation menu item for controlling the first external device on the display unit when the acquired distance is less than the reference distance, acquire situation information when the acquired distance is equal to or greater than the reference distance, determine a second external device as an object to be controlled based on the acquired situation information, and display a second operation menu item for controlling the determined second external device on the display unit.

2 . The artificial intelligence device of claim 1 , wherein the situation information includes a position of a user and a device usage time of the user.

3 . The artificial intelligence device of claim 2 , further comprising a memory configured to store a device-to-be-used inference model for determining a device to be controlled from the situation information,
wherein the device-to-be-used inference model is an artificial neural network based model supervised-learned by a deep learning algorithm or a machine learning algorithm.

4 . The artificial intelligence device of claim 3 , wherein a training data set used to train the device-to-be-used inference model includes the position of the user, the device usage time, and a type of the external device as labeling data.

5 . The artificial intelligence device of claim 1 , further comprising a distance sensor configured to measure a distance between the external device and the artificial intelligence device.

6 . The artificial intelligence device of claim 1 , further comprising a short-range wireless communication module,
wherein, when the first operation menu item is selected, the processor transmits a command for performing operation corresponding to the selected operation menu item to the first external device through the short-range wireless communication module.

7 . The artificial intelligence device of claim 1 , wherein the display unit:
displays a basic screen, and switches the basic screen to an operation screen of the first external device including the first operation menu item when the acquired distance is less than the reference distance.

8 . The artificial intelligence device of claim 1 , further comprising a rotatable outer body surrounding the display unit,
wherein the processor selects the first operation menu item according to rotation of the outer body.

9 . A method of operating an artificial intelligence device for controlling an external device, the method comprising:
acquiring a distance between the artificial intelligence device and a first external device; determining whether the acquired distance is less than a reference distance; displaying a first operation menu item for controlling the first external device on a display unit of the artificial intelligence device when the acquired distance is less than the reference distance; acquiring situation information when the acquired distance is equal to or greater than the reference distance; determining a second external device as an object to be controlled based on the acquired situation information; and displaying a second operation menu item for controlling the determined second external device on the display unit.

10 . The method of claim 9 , wherein the situation information includes a position of a user and a device usage time of the user.

11 . The method of claim 10 , further comprising storing a device-to-be-used inference model for determining a device to be controlled from the situation information,
wherein the device-to-be-used inference model is an artificial neural network based model supervised-learned by a deep learning algorithm or a machine learning algorithm.

12 . The method of claim 11 , wherein a training data set used to train the device-to-be-used inference model includes the position of the user, the device usage time, and a type of the external device as labeling data.

13 . The method of claim 9 , further comprising measuring a distance between the external device and the artificial intelligence device through a distance sensor.

14 . The method of claim 9 , further comprising, when the first operation menu item is selected, transmitting a command for performing operation corresponding to the selected operation menu item to the first external device.

15 . The method of claim 9 , further comprising:
displaying a basic screen, and switching the basic screen to an operation screen of the first external device including the first operation menu item when the acquired distance is less than the reference distance.

16 . The method of claim 9 ,
wherein the artificial intelligence device further includes a rotatable outer body surrounding the display unit, and wherein the method further includes selecting the first operation menu item according to rotation of the outer body.

Assignees

• Lg Electronics Inc

Inventors

• Kim Dongwook
• Kim Kunwoo
• Park Chala
• Lee Hojun

Classifications

• G06N3/08 Primary

  Learning methods · CPC title

• G06N3/048

  Activation functions · CPC title

• G06N5/04

  Inference or reasoning models · CPC title

• G06N3/0499

  Feedforward networks · CPC title

• G06N3/09

  Supervised learning · CPC title