KR20140146748A - System and method for self-care lifestyle - Google Patents
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Abstract
The present invention collects lifelogs, generates reference models using the collected lifelogs, analyzes personal preferences using the collected lifelogs, generates personalized lifestyle models according to inclinations, and generates reference models and personalization The user's behavior is estimated by reflecting the current information of the user collected in the lifestyle model and if the estimated user's behavior has an adverse effect on the user's health, To a lifestyle autonomous care system and method thereof.
Description
BACKGROUND OF THE
In Korea, especially lifestyle - related diseases are increasing rapidly, but similar cases of metabolic diseases, which can not be explained only by westernization of diet, aging, and increase of obesity population, are emerging from infants and cleaners. As a result, the medical cost of the National Health Insurance has been continuously increasing due to the fact that it can not be solved by the medical drug treatment and it is developed as a chronic disease. Lifestyle medicine has become important as a solution to this problem, but it is difficult to apply lifestyle medicine due to problems such as traditional documentary method, continuous treatment effect, systematic management of patients and difficulty of real effect.
Currently, various IT products and care services (such as child protection and growth care, care for the elderly, mental healing care of the general public, and financial forecasting management in a rapidly changing economic environment) , Psychology, physiology, emotion, etc.) are difficult to understand, express and quantify, there is a fundamental limitation in application and advancement.
In particular, there is a lack of consideration of the factors that determine 'I' represented by lifestyle, and it faces the difficulty of tools or methods that characteristically express human beings with complex and diverse characteristics.
To overcome this problem, various studies using Lifelog data have been conducted worldwide. However, the problem of lack of innovative devices for life log collection and semantic analysis of vast amount of data is still not resolved.
As an example of the conventional life care service technology, Korean Unexamined Patent Publication No. 2004-45459, "Life Care Service Providing System" has been proposed. In the prior art, life care service technology is disclosed in which life log information required for checking a user's health state is collected, life log information is analyzed, and lifecare information used for managing lifestyle of a user is provided
However, in the prior art, the life log information is analyzed and a lifestyle setting process is first required in order to manage a lifestyle of a user, and a rule corresponding to a specific situation has to be set in advance. The rules set forth in the prior art do not consider individual differences but can not be changed appropriately according to the times, and do not mention a specific description of how to set rules. Also, prior art does not consider human diversity in analyzing life logs.
Therefore, it is possible to collect big data of an individual's life log and perform semantic-based analysis using the same to extract a general action sequence, an action sequence according to personalized lifestyle, model the extracted action sequence, It is necessary to infer the behaviors that will occur afterwards and to manage the health of the users by inducing the inferred behaviors in a desirable direction.
SUMMARY OF THE INVENTION It is an object of the present invention to provide a lifestyle autonomous care system and method.
Specifically, the present invention collects big data of an individual's life log, performs a semantic-based analysis using the extracted big data, extracts a general action sequence, an action sequence according to personalized lifestyle, models the extracted action sequence, The present invention provides a lifestyle autonomous care system and method for managing a user's health by deriving behaviors to be generated according to a state of a user and deriving an inferred behavior in a desirable direction.
According to an aspect of the present invention, there is provided a lifestyle autonomous care system including: a life log collection device for collecting life logs; A reference modeling device for generating a reference model using the collected life logs; A personalized modeling device for analyzing personal preferences using the collected life logs and generating personalized lifestyle models for the personalities; And estimating a possible behavior of a user based on the current information of the user collected in the reference model and the personalized lifestyle model and if the behavior of the estimated user has an adverse effect on the health of the user, And a service device for guiding the user to avoid the estimated user's behavior.
At this time, the life log may include at least one of Private Data, Public Data, Personal Data, Anonymous Data, Connected Data, and Sensor Data One can be included.
In this case, the reference modeling device extracts a behavior sequence from the collected life logs, analyzes the similarity between the extracted behavior sequences, aligns the behavior sequence with a sequence alignment technique, Can be generated.
At this time, the personalized modeling device extracts a behavior pattern repeated over a predetermined number of times by the individual action sequence using the data mining technique in the collected life log, Analyzing the activity information in the network, analyzing the individual tendencies, and connecting the behavior sequences of users having similar tendencies, thereby generating the personalized lifestyle model for each tendency.
At this time, the service device may transmit the action of the user, which can be generated, to the user, or may avoid the action of the user in advance by instructing the action to the user.
A method for managing a lifestyle in a lifestyle autonomous care system according to an embodiment of the present invention includes: collecting a life log; Generating a reference model using the collected life logs; Analyzing personal preferences using the collected life logs, and generating a personalized lifestyle model according to the preferences; Estimating an action of the user based on the current information of the user collected in the reference model and the personalized lifestyle model; And inducing the user to avoid the behavior of the estimated user if the estimated user's behavior has an adverse effect on the health of the user.
At this time, the life log may include at least one of Private Data, Public Data, Personal Data, Anonymous Data, Connected Data, and Sensor Data One can be included.
The generating of the reference model may include extracting a behavior sequence from the collected life logs, analyzing a similarity between the extracted behavior sequences, and arranging the behavior sequence using a sequence alignment technique The reference model can be generated.
The generating of the personalized lifestyle model may include extracting a behavior pattern repeated by a predetermined number of times or more for each individual by using the data mining technique in the collected life log, Analyzing the activity information in the individual social network included in the personalized social network, analyzing the individual tendency, and connecting the action sequence of the user having similar tendencies, thereby generating the personalized lifestyle model for each tendency.
In this case, the step of inducing the user to avoid the behavior of the estimated user may include transmitting the action of the user that can be generated to the user, or instructing the action to the user so that the action of the user does not occur in advance Can be avoided.
The present invention relates to a lifestyle autonomic care system and a method thereof, which includes collecting life logs, generating reference models using the collected life logs, analyzing personal preferences using the collected life logs, And the user's behavior is estimated by reflecting the current information of the user collected in the reference model and the personalized lifestyle model, and the behavior of the user, which is estimated, In this case, since the user is induced to avoid the behavior of the estimated user, the health of the user can be managed.
1 is a diagram illustrating a configuration of a lifestyle autonomous care system according to an embodiment of the present invention.
2 is a diagram illustrating a configuration of a reference modeling apparatus for modeling a generalized lifestyle according to an embodiment of the present invention.
3 is a diagram illustrating a personalized modeling apparatus for personalized lifestyle modeling according to an embodiment of the present invention.
4 is a flowchart illustrating a lifestyle management process in the lifestyle autonomic care system according to an exemplary embodiment of the present invention.
5 is a flowchart illustrating a process of generating a reference model in a reference modeling apparatus according to an embodiment of the present invention.
6 is a flowchart illustrating a process of generating a personalized lifestyle model in the personalized modeling apparatus according to an exemplary embodiment of the present invention.
7 is a diagram illustrating an example of a reference model generated according to an embodiment of the present invention.
Other objects and features of the present invention will become apparent from the following description of embodiments with reference to the accompanying drawings.
Preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.
However, the present invention is not limited to or limited by the embodiments. Like reference symbols in the drawings denote like elements.
Hereinafter, a lifestyle autonomous care system and method according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 7.
1 is a diagram illustrating a configuration of a lifestyle autonomous care system according to an embodiment of the present invention.
Referring to FIG. 1, a lifestyle
The life
At this time, the life log stores at least one of private data, public data, personal data, anonymous data, connected data, and sensor data. .
Here, the private data can be a schedule, an address book, a credit card usage, a medical record, a shopping history, a call record, a character record, a bank transaction record, a stock transaction record,
Public data includes traffic information, weather information, and various statistical data.
Personal data can be a bookmark, a search history, a social networking service (SNS) conversation record, a download record, a blog record, and the like.
Anonymous data can be topic information (trend of public opinion), news, real-time keyword ranking, etc., which are discussed in SNS.
Connected data can be records connected to a house or a vehicle. For example, it can detect a room, RFID (personal identification, access record), digital door lock, smart home appliance (usage information) An access point, a car navigation system (navigation path), a black box (video and audio recording), a travel recorder (driving time, driving pattern, etc.).
The sensor data may be data measured through a dedicated device, an environmental sensor, a smart device, a medical device, a personal exercise device, or a personal activity measuring device.
Here, the dedicated device can be a calorie measuring device, a posture measuring device, a clinical thermometer, a stress measuring device, an oral breath measuring device, a drinking measurement device, a moving distance / speed device, Do.
Environmental sensors include temperature measurement sensors, humidity measurement sensors, illumination measurement sensors, CCTV (distance, public transportation, buildings, etc.), carbon dioxide measurement sensors, ozone measurement sensors, carbon monoxide measurement sensors, dust measurement sensors and ultraviolet measurement sensors.
Smart devices include smartphones, head mount displays (such as Google Glass), and smart watches (such as Apple iWatch). The smart device allows you to view the payment history of your app, your favorite apps, It is possible to acquire data such as image, voice, photograph, and favorite music.
The medical instrument may be an electronic balance, a body fat measurement device, a diabetic measurement device, a heart rate measurement device, a blood pressure measurement device, etc., and the measured data may be included in the sensor data.
The personal exercise device may be an exercise device capable of measuring the amount of exercise such as a treadmill, a bicycle, or a sensor submitted to a sneaker, and the amount of exercise measured from the exercise device may be included in the sensor data.
Meanwhile, the life
The
At this time, the
The personalized
The
The reference model generated by the
Meanwhile, the reference model generated by the
The
If the estimated user's behavior has an adverse effect on the user's health, the
The direct method is a method that allows the user to be able to recognize and avoid possible behaviors by sending possible actions of the user to the user.
The indirect method is an unobtrusive method which instructs the user to do something to avoid the user's behavior in advance. Thus, in the indirect method, the user can be prevented from recognizing the possible actions.
For example, if you have identified a user's personalized lifestyle model, you are in a bad mood, and if you have a behavior sequence that bites meat in a meat home while you are at home, If the user is at work and the current weight of the user is obese, then the user can be encouraged to avoid other eating habits by recommending another route without meat.
In addition, if the user further has an action sequence that improves the mood when the user walks the flower road, the user may be guided to change the mood of the user by providing the user with a route to the exit route via the flower road.
2 is a diagram illustrating a configuration of a reference modeling apparatus for modeling a generalized lifestyle according to an embodiment of the present invention.
2, the
The
The
The
The action
More specifically, the action
[Table 1]
The action
The similarity analyzing unit 216 analyzes the similarity between the action sequences obtained through the action
In more detail, the similarity analyzer 216 may evaluate the similarity between the extracted behavior sequences using at least one of whether information is generated within a predetermined time and information included in the behavior sequence.
The reference
More specifically, the reference
7 is a diagram illustrating an example of a reference model generated according to an embodiment of the present invention.
FIG. 7 shows an example in which the action sequence of Table 1 is generated as a reference model. Referring to FIG. 7, it can be seen that the reference model is composed of a tree-shaped ontology model.
The sequence alignment technique applied by the
[Table 2]
The
3 is a diagram illustrating a personalized modeling apparatus for personalized lifestyle modeling according to an embodiment of the present invention.
3, the
The
The
The
The action
Meanwhile, the action
The
The behavior
The lifestyle
More specifically, the lifestyle
On the other hand, individuals use specific heuristics for their decisions and behaviors, and it is necessary to verify the suitability of personal lifestyle models using this heuristic.
The validation of the personal lifestyle model is based on the heuristic of each individual by using the heuristic of the individual who has already been designed by psychologists and physiologists, and the method of the heuristic of the individual, The suitability of the habit model can be confirmed.
Then, we can grasp the relation between the user's personal lifestyle model and heuristic, judge the suitability of personal lifestyle model based on heuristic (associate with psychology, physiologist) and analyze heuristic to re-adjust personal lifestyle model have.
However, to minimize the intervention of the user or the expert, the heuristic of the individual is estimated through the existing accumulated behavior sequence and the personal lifestyle model, and the behavior sequence of the user having the same or similar heuristic is searched, It is desirable that a method of verifying fitness of a personal lifestyle model by deriving a pattern is desirable.
The
Hereinafter, a method for managing lifestyle in the lifestyle autonomous care system according to the present invention will be described with reference to the drawings.
4 is a flowchart illustrating a lifestyle management process in the lifestyle autonomic care system according to an exemplary embodiment of the present invention.
Referring to FIG. 4, the lifestyle
Then, the lifestyle
Then, the lifestyle
At this time, the lifestyle
In addition, the lifestyle
Then, the lifestyle
If it is determined in operation S418 that the estimated user's behavior has an adverse effect on the user's health, the lifestyle
At this time, the lifestyle
5 is a flowchart illustrating a process of generating a reference model in a reference modeling apparatus according to an embodiment of the present invention.
Referring to FIG. 5, the
Then, the
Then, the
Then, the
6 is a flowchart illustrating a process of generating a personalized lifestyle model in the personalized modeling apparatus according to an exemplary embodiment of the present invention.
Referring to FIG. 6, the
Then, the
Then, the
Then, the
The lifestyle autonomic care method according to an embodiment of the present invention may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.
As described above, the present invention has been described with reference to particular embodiments, such as specific elements, and specific embodiments and drawings. However, it should be understood that the present invention is not limited to the above- And various modifications and changes may be made thereto by those skilled in the art to which the present invention pertains.
Accordingly, the spirit of the present invention should not be construed as being limited to the embodiments described, and all of the equivalents or equivalents of the claims, as well as the following claims, belong to the scope of the present invention .
Claims (11)
A reference modeling device for generating a reference model using the collected life logs;
A personalized modeling device for analyzing personal preferences using the collected life logs and generating personalized lifestyle models for the personalities; And
Estimating an action of a user that can be generated based on the current information of the user collected in the reference model and the personalized lifestyle model and if the behavior of the estimated user has an adverse effect on the health of the user, And a service device for guiding the user to avoid the behavior of the estimated user
Lifestyle autonomic care system.
The above-
And includes at least one of private data, public data, personal data, anonymous data, connected data, and sensor data.
Lifestyle autonomic care system.
The reference modeling device includes:
Extracts a behavior sequence from the collected life logs, analyzes the similarity between the extracted behavior sequences, and generates the reference model by sorting the behavior sequences using a sequence alignment technique
Lifestyle autonomic care system.
Wherein the personalized modeling device comprises:
Extracting a behavior pattern repeated over a predetermined number of times for each individual by using the data mining technique in the collected life log, analyzing activity information in the individual social network included in the collected life log, Analyzing individual tendencies, and connecting the behavior sequences of users having similar tendencies to generate the personalized lifestyle model for each tendency
Lifestyle autonomic care system.
The service device comprises:
To transmit the action of the user to the user, or
The user is instructed to perform an action to avoid the action of the user in advance
Lifestyle autonomic care system.
Generating a reference model using the collected life logs;
Analyzing personal preferences using the collected life logs, and generating a personalized lifestyle model according to the preferences;
Estimating an action of the user based on the current information of the user collected in the reference model and the personalized lifestyle model; And
And inducing the user to avoid the behavior of the estimated user if the estimated user's behavior has an adverse health impact on the user
Lifestyle How to manage your lifestyle in an autonomous care system.
The above-
And includes at least one of private data, public data, personal data, anonymous data, connected data, and sensor data.
Lifestyle How to manage your lifestyle in an autonomous care system.
Wherein the step of generating the reference model comprises:
Extracts a behavior sequence from the collected life logs, analyzes the similarity between the extracted behavior sequences, and generates the reference model by sorting the behavior sequences using a sequence alignment technique
Lifestyle How to manage your lifestyle in an autonomous care system.
Wherein the step of generating the personalized lifestyle model comprises:
Extracting a behavior pattern repeated over a predetermined number of times for each individual by using the data mining technique in the collected life log, analyzing activity information in the individual social network included in the collected life log, Analyzing individual tendencies, and connecting the behavior sequences of users having similar tendencies to generate the personalized lifestyle model for each tendency
Lifestyle How to manage your lifestyle in an autonomous care system.
Wherein the step of inducing the user to avoid the estimated user's behavior comprises:
To transmit the action of the user to the user, or
The user is instructed to perform an action to avoid the action of the user in advance
Lifestyle How to manage your lifestyle in an autonomous care system.
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Cited By (2)
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KR20160125543A (en) | 2015-04-21 | 2016-11-01 | 성균관대학교산학협력단 | User-oriented healthcare big data service method, computer program and system |
KR20160125544A (en) | 2015-04-21 | 2016-11-01 | 성균관대학교산학협력단 | User-oriented healthcare big data service method, computer program and system |
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KR20160125543A (en) | 2015-04-21 | 2016-11-01 | 성균관대학교산학협력단 | User-oriented healthcare big data service method, computer program and system |
KR20160125544A (en) | 2015-04-21 | 2016-11-01 | 성균관대학교산학협력단 | User-oriented healthcare big data service method, computer program and system |
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