KR-20260067207-A - ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF

KR20260067207AKR 20260067207 AKR20260067207 AKR 20260067207AKR-20260067207-A

Abstract

An electronic device and a method for controlling the same are provided. The electronic device comprises a display, a memory for storing instructions, and at least one processor. When the instructions are executed collectively or individually by at least one processor, the electronic device obtains response information regarding a notification message received from at least one device related to a user and usage information regarding at least one device. The response information regarding the notification message and the usage information regarding at least one device are input into a learned neural network model to obtain information regarding the user's daily life responsiveness. Based on the user's daily life responsiveness, the electronic device identifies whether there is an abnormal situation of the user. Based on the identification result, the electronic device provides a notification message containing information regarding the abnormal situation to at least one of the user and other users related to the user.

Inventors

박재성
박이훈

Assignees

삼성전자주식회사

Dates

Publication Date: 20260512
Application Date: 20241105

Claims (16)

In electronic devices, display; Memory for storing instructions; and It includes at least one processor, When the above instructions are executed collectively or individually by the at least one processor, the electronic device, Response information to a notification message received from at least one device related to a user and usage information of said at least one device are obtained, and Information regarding the response to the above notification message and usage information of the at least one device are input into a learned neural network model to obtain information regarding the user's daily life response rate, and Identify whether there is an abnormal situation of the user based on the daily life responsiveness of the user, and An electronic device that provides a notification message containing information related to the abnormal situation to at least one of the user and other users associated with the user, based on the above identification result.
In paragraph 1, When the above instructions are executed collectively or individually by the at least one processor, the electronic device, An electronic device for identifying whether there is an abnormal situation of the user based on at least one of the difference value of daily life responsiveness and the direction change rate between a first period (t-1) and a second period (t) for at least one device.
In paragraph 2, When the above instructions are executed collectively or individually by the at least one processor, the electronic device, If the difference value of the above daily life responsiveness is greater than or equal to a preset value, or if the direction change rate of the above daily life responsiveness is greater than or equal to a preset value, the abnormal situation of the user is identified, and An electronic device that identifies the daily situation of the user when the difference value of the daily life responsiveness is less than a preset value and the direction change rate of the daily life responsiveness is less than a preset value.
In paragraph 1, The above neural network model includes at least one neural network model corresponding to each of the at least one device, and When the above instructions are executed collectively or individually by the at least one processor, the electronic device, Information regarding the daily life responsiveness of the user for each of the at least one device is obtained using the above-mentioned at least one neural network model, and An electronic device that identifies whether there is an abnormal situation of the user based on the daily life responsiveness of each of the above-mentioned at least one device.
In paragraph 1, When the above instructions are executed collectively or individually by the at least one processor, the electronic device, An electronic device that determines a method and target for providing a notification message containing information related to the above abnormal situation based on the importance of the notification message containing information related to the above abnormal situation.
In paragraph 5, When the above instructions are executed collectively or individually by the at least one processor, the electronic device, If the above importance is within the first range, information related to the above abnormal situation is provided as a pop-up message that is displayed for a certain period of time and then automatically removed, and If the above importance is within the second range, information related to the above abnormal situation is provided as a popup message that is removed by a predetermined user interaction, and If the above importance is within the third range, information related to the above abnormal situation is provided as a popup message that is removed by a specific user interaction indicating in the popup message, and An electronic device that provides information related to the above abnormal situation to the electronic device and the other user's electronic device as a popup message that is removed by a specific user interaction indicating in the popup message when the above importance is within the fourth range.
In paragraph 1, When the above instructions are executed collectively or individually by the at least one processor, the electronic device, Obtaining response information to a notification message containing information related to the above abnormal situation, An electronic device that retrains the neural network model based on response information to a notification message containing information related to the above abnormal situation.
In paragraph 1, Response information to the above notification message is, It includes at least one of information regarding the time taken to receive and check a notification message and the frequency of checking, and information regarding how to check and remove a message after receiving a notification message. The usage information of the above-mentioned at least one device is, An electronic device comprising information on the time for which the device is primarily used/checked/connected, information on frequently used functions of the device, information on a list of devices used with the device, information on devices or functions operated subsequently after using the device, and information on the time or period for executing the device's reservation functions.
In a method for controlling an electronic device, A step of obtaining response information to a notification message received from at least one device related to a user and usage information of said at least one device; A step of obtaining information on the user's daily life responsiveness by inputting response information to the above notification message and usage information of the at least one device into a learned neural network model; A step of identifying whether there is an abnormal situation of the user based on the daily life responsiveness of the user; and A control method comprising the step of providing a notification message containing information related to the abnormal situation to at least one of the user and other users associated with the user based on the above identification result.
In Paragraph 9, The above identification step is, A control method for identifying whether there is an abnormal situation of the user based on at least one of the difference value of daily life responsiveness and the direction change rate between a first period (t-1) and a second period (t) for at least one device.
In Paragraph 10, The above identification step is, If the difference value of the above daily life responsiveness is greater than or equal to a preset value, or if the direction change rate of the above daily life responsiveness is greater than or equal to a preset value, the abnormal situation of the user is identified, and A control method for identifying the daily life situation of the user when the difference value of the daily life responsiveness is less than a preset value and the direction change rate of the daily life responsiveness is less than a preset value.
In Paragraph 9, The above neural network model includes at least one neural network model corresponding to each of the at least one device, and The step of obtaining information regarding the daily life responsiveness of the above-mentioned user is, Information regarding the daily life responsiveness of the user for each of the at least one device is obtained using the above-mentioned at least one neural network model, and The above identification step is, A control method for identifying whether there is an abnormal situation of the user based on the daily life responsiveness of each of the at least one device.
In Paragraph 9, The above control method is, A control method comprising the step of determining a method and target for providing a notification message containing information related to the abnormal situation based on the importance of the notification message containing information related to the abnormal situation.
In Paragraph 13, The above-mentioned determining step is, If the above importance is within the first range, it is decided to provide information related to the above abnormal situation as a pop-up message that is displayed for a certain period of time and then automatically removed, and If the above importance is within the second range, it is decided to provide information related to the above abnormal situation as a popup message that is removed by a predetermined user interaction, and If the above importance is within the third range, it is decided to provide information related to the above abnormal situation as a popup message that is removed by a specific user interaction directed in the popup message, and A control method for determining to provide information related to the above abnormal situation to the electronic device and the other user's electronic device as a popup message that is removed by a specific user interaction indicating in the popup message when the above importance is within the fourth range.
In Paragraph 9, A step of obtaining response information to a notification message containing information related to the above-mentioned abnormal situation; and A control method comprising the step of retraining the neural network model based on response information to a notification message containing information related to the above abnormal situation.
In Paragraph 9, Response information to the above notification message is, It includes at least one of information regarding the time taken to receive and check a notification message and the frequency of checking, and information regarding how to check and remove a message after receiving a notification message. The usage information of the above-mentioned at least one device is, A control method comprising information on the time for primarily using/checking/connecting to the device, information on frequently used functions of the device, information on a list of devices used with the device, information on devices or functions operated subsequently after using the device, and information on the time or period for executing the device's reservation function.

Description

ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF The present disclosure relates to an electronic device and a method for controlling the same, and more specifically, to an electronic device and a method for controlling the same for detecting an abnormal situation using usage information of the electronic device and response information to a user's notification message. Modern society is changing rapidly, with changes in population structure being particularly prominent. In particular, the aging of the population has been progressing rapidly in recent years, and single-person households are also increasing rapidly. As concerns regarding individual health and safety grow due to the aging population and the rise in single-person households, the importance of technology that automatically recognizes and analyzes users' lifestyle patterns and reactions is being emphasized. Previously, it was common practice to simply send notification messages via electronic devices and have the user check them to monitor daily life, or to recognize user behavior and detect abnormal behavior through various sensors to verify whether daily life was in a normal state. The information described above may be provided as related art for the purpose of aiding understanding of the present disclosure. No claim or determination is made as to whether any of the foregoing may be applied as prior art related to the present disclosure. The above and other aspects, features, and advantages of specific embodiments of the present invention will become more apparent from the following description taken together with the accompanying drawings. FIG. 1 is a drawing illustrating a home IoT system according to one embodiment of the present disclosure. FIG. 2 is a block diagram showing the configuration of an electronic device according to one embodiment of the present disclosure, FIG. 3 is a flowchart illustrating a method for identifying an abnormal situation based on daily life responsiveness and providing a notification message to a user, according to one embodiment of the present disclosure. FIG. 4 is a drawing for explaining a neural network model according to one embodiment of the present disclosure, FIG. 5 is a drawing for explaining a method for identifying whether an abnormal situation has occurred according to the daily life responsiveness of a plurality of devices, according to one embodiment of the present disclosure. FIG. 6 is a flowchart illustrating a method for providing a notification message and a method for determining a target according to the importance of a notification message containing information related to an abnormal situation, according to an embodiment of the present disclosure, and, FIG. 7 is a flowchart illustrating a control method for an electronic device for providing a notification message containing information related to an abnormal situation, according to one embodiment of the present disclosure. The embodiments described herein are subject to various modifications and may have various forms; specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the scope of specific embodiments and should be understood to include various modifications, equivalents, and/or alternatives of the embodiments of the present disclosure. In relation to the description of the drawings, similar reference numerals may be used for similar components. In describing the present disclosure, if it is determined that a detailed description of related known functions or configurations could unnecessarily obscure the essence of the present disclosure, such detailed description is omitted. Additionally, the following embodiments may be modified in various other forms, and the scope of the technical concept of the present disclosure is not limited to the following embodiments. Rather, these embodiments are provided to make the present disclosure more faithful and complete and to fully convey the technical concept of the present disclosure to those skilled in the art. The terms used in this disclosure are used merely to describe specific embodiments and are not intended to limit the scope of the rights. The singular expression includes the plural expression unless the context clearly indicates otherwise. In the present disclosure, expressions such as “have,” “may have,” “include,” or “may include” indicate the presence of such features (e.g., numerical values, functions, actions, or components such as parts) and do not exclude the presence of additional features. In the present disclosure, expressions such as “A or B,” “at least one of A or/and B,” or “one or more of A or/and B” may include all possible combinations of items listed together. For example, “A or B,” “at least one of A and B,” or “at least one of A or B” may refer to cases including (1) at least one A, (2) at least one B, or (3) both at least one A and at least one B. Expressions such as "firs