KR20130088670A - Momentum measuring device for transmitting momentum analysing information and method for treating information thereof - Google Patents
Momentum measuring device for transmitting momentum analysing information and method for treating information thereof Download PDFInfo
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- KR20130088670A KR20130088670A KR1020120010055A KR20120010055A KR20130088670A KR 20130088670 A KR20130088670 A KR 20130088670A KR 1020120010055 A KR1020120010055 A KR 1020120010055A KR 20120010055 A KR20120010055 A KR 20120010055A KR 20130088670 A KR20130088670 A KR 20130088670A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0024—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
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Abstract
Description
The present invention relates to an activity measuring apparatus and an information processing method thereof, and more particularly, to an activity measuring apparatus and an information processing method for generating and transmitting activity analysis information of a user to an external device.
Thanks to technological advances, human life has been greatly increased. As a result, many people, such as the elderly, chronically ill, obesity and adult patients, need continuous health care. In particular, with the recent increase in the interest in healthy life, the general people are also putting a lot of effort to manage health in daily life.
For health care, people exercise. In the past, people recorded their own amount of exercise to directly manage the amount of activity, but recently, in order to increase the accuracy and convenience of the amount of activity management, an activity amount measuring device for managing the amount of activity has been developed and spread.
In particular, the U-health market is expanding due to an increase in medical expenses due to the global aging trend, an increase in chronic diseases, and increased interest in healthy living. In Korea, the population aged 65 and over has already entered the aging society as 7.2% in 2000, and it is predicted to reach ultra-aged society at 14.4% in 2019 and 20% in 2026.
As a result, discussions on standard technologies for health equipment for managing people's health have been made in developed countries.
However, the conventional activity measuring device only stores and displays the user's activity. Therefore, there is a need for a method that can utilize the activity measuring device in a variety of ways useful and convenient.
The present invention is in accordance with the above-described needs, and an object of the present invention is to provide an activity measuring apparatus and information processing method which can analyze the amount of activity of the user and transmit it to an external device according to user selection.
According to an embodiment of the present invention for achieving the above object, the activity measuring device, an input unit for receiving user information about a user wearing the activity measuring device, a sensor unit for sensing the movement of the user, the user Based on the information and the sensed movement, a control unit for generating activity analysis information for the user, a storage unit for storing the generated activity analysis information, a display unit for displaying the activity analysis information stored in the storage unit and wireless And a communication unit for transmitting the activity analysis information to an external device according to a communication protocol.
The sensor unit may include an acceleration sensor that outputs a sensing value corresponding to the movement of the user. The controller calculates an activity amount of the user using the sensing value output from the acceleration sensor and a measurement interval for sensing the movement of the user, and analyzes the activity amount using the user information to analyze the activity amount. Information can be generated.
The storage unit may store a setting value which is a standard for calculating the activity amount, software information for the software generating the activity amount analysis information, error information, the user information, and the activity amount analysis information.
The controller generates the activity analysis information in the ISO / IEEE 11073-10441 standard format and stores the activity information in the storage unit, wherein the user information includes at least one of a name, a gender, an age, and a weight, and analyzes the activity amount. The information may include at least one of a current time, exercise time, steps, moving distance, active calorie consumption, total calorie consumption, exercise intensity, basal metabolic rate, and exercise period.
On the other hand, according to an embodiment of the present invention, the information processing method of the activity measuring device, receiving and storing user information about the user wearing the activity measuring device, sensing the movement of the user, the user Generating and storing activity analysis information for the user based on the information and the sensed movement, displaying the activity analysis information and transmitting the activity analysis information to an external device according to a wireless communication protocol. Include.
In addition, the movement of the user is sensed using an acceleration sensor, and the generating of the activity analysis information comprises: measuring the sensing value output from the acceleration sensor and the user's movement using the measurement interval of the user. Calculating an activity amount, and analyzing the activity amount using the user information to generate the activity amount analysis information.
The method may further include storing software setting information for setting the activity value calculation standard and the software for generating the activity amount analysis information.
Meanwhile, the activity analysis information is generated in the ISO / IEEE 11073-10441 standard format, the user information includes at least one of a name, gender, age, weight, and the activity analysis information, the current time, exercise time, steps It may include at least one of the number, distance traveled, active calorie consumption, total calorie consumption, exercise intensity, basal metabolic rate, and exercise duration.
According to various embodiments of the present disclosure as described above, the amount of activity of the user may be analyzed and transmitted to an external device for use in various ways.
1 is a view for explaining a method of using the activity measuring device according to an embodiment of the present invention,
2 is a block diagram showing the configuration of an activity measuring device according to an embodiment of the present invention;
3 is a diagram illustrating an example of a screen configuration of an activity measuring apparatus;
4 is a flowchart illustrating an information processing method according to an embodiment of the present invention;
5 is a flowchart illustrating an information processing method according to another embodiment of the present invention.
Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.
1 is a view for explaining a method of using the activity measuring device according to an embodiment of the present invention. The activity measuring
Activity measuring
Here, the
The
The
According to the above-mentioned ISO / IEEE 11073-10441 standard, the activity measuring
The activity
2 is a block diagram showing the configuration of an activity measuring device according to an embodiment of the present invention. According to FIG. 2, the
The
The user information may include personal information such as the age, gender, weight, name, etc. of the user. In addition, the
The
The
The
The
Among the activity analysis information, such as calorie consumption, calorie consumption per mile, travel distance, travel distance, calorie consumption during jogging, etc. may be calculated using the following equation.
[Equation 1]
CC = MC * M * 0.00006213
MC = 3.7103 + (0.2678 * W) + (0.0359 * (P * 60 * 0.00006213) * 2) * W
M = ((H = 100) * P) / 100
JC = (33.3 + 0.178 * (JP-150) * W) / 100
Here, M is the distance traveled, MC is the calories per mile, CC is the calorie consumption, W is the weight, P is the number of steps, H is the height, JC is the calorie consumption during jogging, JP means the number of jogging steps.
The
The set value may include a recommended calorie consumption, a measurement transmission cycle, a fitness meter unique code, a control PC unique code, and the like. The software information may include a software version, a download URL, and the like. The error information may include information about an error code and an error content.
The
The
Alternatively, the
Information about the
The
The
The normal mode is a mode for checking the amount of activity in daily life, and the exercise mode is a mode for checking the amount of activity during exercise. The sleep mode is a mode for checking a state during sleep time.
In the normal mode, the
For example, in a seizure state, movement is faster and larger than in normal exercise. Accordingly, the
In addition, even in the excited state, since the movement is faster and larger, similar to the seizure state section, it can be detected in a manner similar to the seizure state section.
On the other hand, if the user has a seizure, it is common that the activity is unavailable for a certain time after the seizure is finished. Therefore, after the seizure occurs and stores the life record information, the data measured for a predetermined time may be meaningless. In consideration of this, the
Alternatively, in the case of stunned state or drowsy state, the movement is stopped for a moment. Therefore, if the motion is sensed in a certain pattern with regularity and stops for a moment, the
In addition, when the user exercises, the abnormal state section measurement function may be terminated by pressing a button in advance. In this case, the
The exercise mode refers to a mode that the user selects before exercising. In the exercise mode compared to the normal mode, the user moves in a predetermined pattern, so that the
The
Sleep mode refers to a mode that a user can select before going to sleep. That is, when the user inputs a user command to switch to the sleep mode, the
As described above, the
The stored information may be utilized in various ways depending on the user's selection. That is, the
For example, when a display command is input through the
Alternatively, when a transmission command is input through the
At least one of the display operation and the transmission operation may be automatically performed without a user command. That is, when a preset cycle arrives, or when there is a request from the
Meanwhile, according to another embodiment of the present disclosure, the above-described operation mode switching may be automatically performed by the
In FIG. 2, the configuration of the
When the
In addition, the
3 is a diagram illustrating a screen configuration of the
In FIG. 3, the state means a current exercise state. The activity
Although FIG. 3 illustrates a screen showing a measurement result, when the
4 is a flowchart illustrating an information processing method of an activity processing apparatus according to an embodiment of the present invention. According to FIG. 4, the user may input information about himself / herself into the activity measuring apparatus 100 (S410). The input user information is stored in the
When the user's movement is sensed in this state (S420), the activity analysis information is generated based on the sensed movement and the user information, and the generated information is stored (S430). The stored information may be cumulatively managed for each user. That is, the activity amount and calories burned may be recorded on a daily or hourly basis by tapping various IDs such as a user name included in the user information.
In this state, when an event to be transmitted to the outside occurs (S440), it transmits to the outside (S450). The event to be transmitted to the outside may include various events, such as an event in which the user selects a transmission button, an event in which a preset transmission period arrives, or an event in which the amount of activity drops rapidly after the user ends the exercise.
In addition, when an event to display the stored information occurs (S460), the
The event to display the information may be an event in which the user selects a display button, an event in which a preset display cycle arrives, or an event in which the activity is rapidly dropped after the user ends the exercise. In addition, even if it is determined to continuously display the activity analysis information during each exercise (S470).
5 is a flowchart illustrating an information processing method of an activity analysis device according to another embodiment of the present invention. According to FIG. 5, in a state in which user information is input and stored (S510), the user may select an operation mode. Accordingly, the activity analysis device may check the selected operation mode and perform an operation corresponding to the operation mode.
First, when the exercise mode is selected (S520), the activity analysis device may sense the user's movement (S525), generate and store the activity analysis information (S530). As described above, the activity analysis information may include various information.
On the other hand, when the normal mode is selected (S535), the activity analysis device senses the user's movement (S540), and analyzes the sensed movement to determine whether it is the steady state section or the abnormal state section (S545), the determination Based on the result, the life record information is generated and stored (S550).
On the other hand, when the sleep mode is selected (S555), the user's sleep state is sensed (S560). Sleep state sensing includes sensing not only a user's movement, such as a user's inversion, but also a sound signal such as a breath, a snoring sound, a sleep stalk, and the like.
Accordingly, it is determined whether the user is in a deep sleep state or awake state (S565). Then, the sleep record information is generated and stored according to the determination result (S570).
As described above, various information such as activity analysis information, life record information, sleep record information, and the like may be generated and stored according to various operation modes.
The stored information can be used in a variety of ways.
That is, when an event to be displayed occurs (S575), the display is performed (S580). On the other hand, when an event to be transmitted to the outside occurs (S585), it transmits to an external device (S590).
Although the order of the display operation and the transmission operation is arbitrarily determined in FIGS. 4 and 5, the order of these operations may be changed.
In addition, although the exemplary embodiments in which the exercise mode, the normal mode, and the sleep mode are all supported have been described in FIG. 5, some of the modes may be omitted. For example, it may be implemented as an activity measuring device capable of switching only the exercise mode and the normal mode, or may be implemented as an activity measuring device capable of switching only between the exercise mode and the sleep mode or the normal mode and the sleep mode. For each of these embodiments, a separate illustration and additional description will be omitted.
Meanwhile, in the above-described embodiments, the activity measuring apparatus may record information for each of a plurality of users. That is, when several users input their own user information, the user may input user information such as his name, ID, password, etc. when he uses the activity measuring device. In this case, the activity measuring device selects a folder corresponding to the input user information from the database stored in the
Alternatively, the activity amount measuring device may transmit the user amount information to the
Meanwhile, the program for performing the method according to various embodiments of the present disclosure described above may be stored and used in various types of recording media.
These programs are software based on the ISO / IEEE 11073-10441 (Cardiovascular fitness and activity monitor) standard, which can be embedded in activity tracking devices or other devices to ensure interoperability with other medical information systems and devices.
Specifically, the code for performing the above-described methods may be stored in a storage medium such as a RAM (Random Access Memory), a FLASH memory, a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electronically Erasable and Programmable ROM) Such as a floppy disk, a removable disk, a memory card, a USB memory, a CD-ROM, and the like.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the present invention.
110: input unit 120: sensor unit
130: control unit 140:
150: display unit 160: communication unit
Claims (8)
An input unit configured to receive user information about a user wearing the activity measuring device;
A sensor unit for sensing a movement of the user;
A controller configured to generate activity analysis information for the user based on the user information and the sensed movement;
A storage unit for storing the generated activity amount analysis information;
A display unit which displays the activity analysis information stored in the storage unit; And
And a communication unit for transmitting the activity analysis information to an external device according to a wireless communication protocol.
The sensor unit includes:
It includes an acceleration sensor for outputting a sensing value corresponding to the movement of the user,
The control unit,
The activity amount of the user is calculated by using the sensing value output from the acceleration sensor and the measurement section for sensing the movement of the user, and the activity amount analysis information is generated by analyzing the activity amount using the user information. Activity measuring device made with.
Wherein,
And a set value which is a reference value of the activity amount calculation, software information on software for generating the activity amount analysis information, error information, the user information, and the activity amount analysis information.
The control unit,
The activity analysis information is generated in the ISO / IEEE 11073-10441 standard format and stored in the storage unit,
The user information includes at least one of name, gender, age, weight,
The activity analysis information, at least one of the current time, exercise time, number of steps, moving distance, active calorie consumption, total calorie consumption, exercise intensity, basal metabolic rate, exercise period.
Receiving and storing user information on a user wearing the activity measuring device;
Sensing the movement of the user;
Generating and storing activity analysis information for the user based on the user information and the sensed movement;
Displaying the activity analysis information; And
And transmitting the activity analysis information to an external device in accordance with a wireless communication protocol.
The user's movement is sensed using an acceleration sensor,
Generating the activity analysis information,
Calculating an activity amount of the user by using the sensing value output from the acceleration sensor and a measurement section for sensing the movement of the user;
Analyzing the activity using the user information to generate the activity analysis information.
And storing software setting information for setting the activity value and the software for generating the activity amount analysis information.
The activity analysis information is generated in the ISO / IEEE 11073-10441 standard format,
The user information includes at least one of name, gender, age, weight,
The activity amount analysis information includes at least one of a current time, exercise time, steps, moving distance, active calorie consumption, total calorie consumption, exercise intensity, basal metabolic rate, and exercise period.
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WO2017002989A1 (en) * | 2015-06-30 | 2017-01-05 | 엘지전자 주식회사 | Watch-type mobile terminal and method for controlling same |
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WO2017002989A1 (en) * | 2015-06-30 | 2017-01-05 | 엘지전자 주식회사 | Watch-type mobile terminal and method for controlling same |
US10105573B2 (en) | 2015-06-30 | 2018-10-23 | Lg Electronics Inc. | Watch-type mobile terminal and method for controlling same |
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