ELECTRONIC DEVICE AND METHOD FOR CONTROLLING ELECTRONIC DEVICE THEREOF

• US 20200133211A1
• Filed: 10/21/2019
• Published: 04/30/2020
• Est. Priority Date: 10/26/2018
• Status: Active Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: LEE, Jaehun, LEE, Yunsu, HWANG, Taeho, PARK, Jungho, JEONG, Mirae, KANG, Jiyoung
• Application Number:
  US16/658,914
• Publication Number:
  US 20200133211A1
• Time in Patent Office: Days
• CPC Class Codes: G05B 13/0265 the criterion being a learning criterion
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G06F 11/3438 monitoring of user actions tracking the activity of the user H04L67/535
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/084 Backpropagation, e.g. using gradient descent
• CPC Class Codes: G06N 5/025 Extracting rules from data
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04N 21/4131 home appliance, e.g. lighting, air conditioning system, metering devices home automation data switching networks exchanging configuration information on appliance services H04L12/2807
• CPC Class Codes: H04N 21/42202 environmental sensors, e.g. for detecting temperature, luminosity, pressure, earthquakes
• CPC Class Codes: H04N 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/4665 involving classification methods, e.g. Decision trees
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections

Abstract

An electronic device for performing a control operation and a method therefor are provided. The electronic device includes a communication interface, a memory to store at least one command, and a processor connected to the communication interface and the memory. The processor is configured to, by executing the at least one command, based on usage information of a first user using the electronic device, establish a first device knowledge base by obtaining a first control condition and a first control operation preferred by a first user, based on a context corresponding to the first control condition being detected, identify whether to perform the first control operation stored in the first device knowledge base based on a basic knowledge base that stores information on the context and information on the electronic device, and based on a result of the identification, control the electronic device.

Claims

1. An electronic device, comprising:

a communication interface;

a memory to store at least one command; and

a processor connected to the communication interface and the memory,

wherein the processor is configured to, by executing the at least one command;

based on usage information of a first user using the electronic device, establish a first device knowledge base by obtaining a first control condition and a first control operation preferred by a first user,

based on a context corresponding to the first control condition being detected, identify whether to perform the first control operation stored in the first device knowledge base based on a basic knowledge base that stores information on the context and information on the electronic device, and

based on a result of the identification, control the electronic device.

2. The electronic device as claimed in claim 1, wherein the processor is further configured to, based on a result of performing the first control operation on the detected context based on the information on the context stored in the basic knowledge base being different from a result of performing the first control operation predicted by the first user, identify not to perform the first control operation.

3. The electronic device as claimed in claim 2, wherein the processor is further configured to, based on identification not to perform the first control operation, recommend information on a second control operation for obtaining a same result as the result of performing the first control operation predicted by the first user on the context.

4. The electronic device as claimed in claim 1, wherein the processor is further configured to:

establish a second device knowledge base by obtaining a second control condition and a second control operation preferred by a second user based on usage information of a second user using the electronic device;

based on a context corresponding to the first control condition and the second control condition being detected, identify one of the first control operation or the second control operation based on the basic knowledge base that stores the information on the context and the information on the electronic device; and

execute the identified one of the first control operation or the second control operation.

5. The electronic device as claimed in claim 4, wherein the processor is further configured to:

identify a result for performing the first control operation and a result for performing the second control operation on the sensed context based on the information on the context stored in the basic knowledge base; and

identify a control operation having a result of execution predicted by a user between the result of performing the first control operation and the result of performing the second control operation as a control operation to be executed by the electronic device.

6. The electronic device as claimed in claim 1, further comprising:

a display, wherein the processor is further configured to;

control the display to display a user interface (UI) for inputting a control condition and a control operation preferred by a user, and

based on a first control condition and a first control condition being set through the UI, establish the first device knowledge base based on information on the set first control condition and first control operation.

7. The electronic device as claimed in claim 1, wherein the processor is further configured to establish the device knowledge base by obtaining a knowledge graph including information in a relation between the first control condition and the first control operation preferred by the first user by inputting the usage information of the first user to a trained first artificial intelligence model.

8. The electronic device as claimed in claim 7, wherein the first artificial intelligence model comprises an artificial intelligence model trained by using at least one of machine training, neural network, gene, deep-learning, or classification algorithm as an artificial intelligence algorithm.

9. The electronic device as claimed in claim 1,

wherein the basic knowledge base is received from an external server, or stored at the time of manufacturing the electronic device, and

wherein the basic knowledge base stores the information on the electronic device in a form of at least one knowledge graph.

10. A method for controlling an electronic device, the method comprising:

based on usage information of a first user using the electronic device, establishing a first device knowledge base by obtaining a first control condition and a first control operation preferred by a first user;

based on a context corresponding to the first control condition being detected, identifying whether to perform the first control operation stored in the first device knowledge base based on a basic knowledge base that stores information on the context and information related to the electronic device; and

based on a result of the identification, controlling the electronic device.

11. The method as claimed in claim 10, wherein the identifying of whether to perform the first control operation comprises, based on a result for performing the first control operation on the detected context based on the information on the context stored in the basic knowledge base being different from a result of performing the first control operation predicted by the first user, identifying not to perform the first control operation.

12. The method as claimed in claim 11, wherein the controlling of the electronic device comprises, based on identification not to perform the first control operation, recommending information on a second control operation for obtaining a same result as the result of performing the first control operation predicted by the first user on the context.

13. The method as claimed in claim 10, further comprising:

establishing a second device knowledge base by obtaining a second control condition and a second control operation preferred by a second user based on usage information of a second user using the electronic device;

based on a context corresponding to the first control condition and the second control condition being detected, identifying one of the first control operation or the second control operation based on the basic knowledge base that stores the information on the context and the information related to the electronic device; and

executing one of the first control operation or the second control operation.

14. The method as claimed in claim 13, wherein the determining of at least one of the first control operation or the second control operation comprises:

identifying a result of performing the first control operation and a result of performing the second operation on the sensed context based on the information related to the context stored in the basic knowledge base; and

identifying a control operation having a result of execution predicted by a user between the result of performing the first control operation and the result of performing the second control operation as a control operation to be executed by the electronic device.

15. The method as claimed in claim 10, further comprising:

displaying a user interface (UI) for inputting a control condition and a control operation preferred by a user; and

based on a first control condition and a first control operation being set through the UI, establishing the first device knowledge base based on the set first control condition and first control operation.

16. The method as claimed in claim 10, wherein the establishing of the first device knowledge base comprises, establishing the device knowledge base by obtaining a knowledge graph including information on a relation between the first control condition and the first control operation preferred by the first user by inputting the usage information on the first user into a trained first artificial intelligence model.

17. The method as claimed in claim 16, wherein the first artificial intelligence model comprises an artificial intelligence model trained by at least one of machine learning, neural network, gene, deep-learning, or classification algorithm as an artificial intelligence algorithm.

18. The method as claimed in claim 10,

wherein the basic knowledge base is received from an external server, or stored at the time of manufacturing the electronic device, and

wherein the basic knowledge base stores the information on the electronic device in a form of at least one knowledge graph.

19. The method as claimed in claim 10, further comprising:

establishing at least one device knowledge base corresponding to each of a plurality of users based on usage information corresponding to each of the plurality of users that use the electronic device.

20. The method as claimed in claim 19, wherein the usage information includes:

information on a control command input to the electronic device; and

information on a context when the control command is input.