KR20180060540A - Exercise management system using mobile device - Google Patents

Abstract

Disclosed is an exercise management system using a mobile device. The purpose of the present invention is to provide the exercise management system using the mobile device, capable of measuring an exercise form and motion quantity in accordance with the motion of a user by using various sensors installed in the mobile device and managing an exercise record by each user. According to the present invention, the exercise management system using the mobile device comprises one or more motion quantity measuring devices and a managing server. The motion quantity measuring device includes: an inertia sensor installed in the mobile device and measuring acceleration and rotating angular speed of the mobile device; a motion quantity calculating module individually calculating a translation motion about a lateral direction (X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device and a rotation motion based on an X-axis, Y-axis, and Z-axis by the inertia sensor and calculating the exercise form of the user by combining the calculated translation motion and the rotation motion, wherein the motion quantity calculating module counts the motion quantity; and a display module displaying the exercise form of the user and the motion quantity processed by the motion quantity calculating module. The managing server transmits and receives data to and from the one or more motion quantity measuring devices via wire and wireless communication networks. Also, the managing server classifies and stores sensing information transmitted from the individual motion quantity measuring device, the exercise form of the user, and motion quantity information.

Description

{EXERCISE MANAGEMENT SYSTEM USING MOBILE DEVICE}

The present invention relates to a motion management system using a mobile device. More specifically, the present invention relates to a motion control system using a mobile device, And a motion management system using the mobile device.

The smart phone has built-in accelerometer or global positioning service (GPS) sensor, so it can measure pedometer or distance.

Various applications have been developed to measure walking distance using such a hardware configuration.

Open Patent Publication No. 10-2006-0008835 and Open Patent Publication No. 10-2006-0008835 are examples.

However, such a smartphone can not measure its momentum for movements such as push-up, sit-up, and squat, which require various operations besides walking or running.

Of course, we can not judge these various forms of exercise.

There is a demand for a means for measuring the exercise amount and managing it according to various types of exercise in daily life.

10-2006-0008835 10-2006-0008835

It is an object of the present invention to provide a movement management system using a mobile device capable of measuring a movement pattern according to a user's movement, a movement amount thereof, and a user's movement record using various sensors provided in the mobile device itself .

The movement management system using the mobile device according to the present invention may include an inertial sensor provided in a mobile device and measuring an acceleration and a rotational angular velocity of the mobile device, The translational motion for each of the lateral direction (X-axis direction), the upward direction (Y-axis direction), and the forward direction (Z-axis direction) and the rotational motion based on each of the X-axis, Y- A first momentum amount calculation module for calculating a motion type of the user by combining the calculated translational motion and rotational motion and counting the corresponding momentum amount and a display for displaying a movement form and a momentum of the user processed in the first momentum amount calculation module At least one momentum measuring device comprising a module; And a management server for transmitting and receiving data through the at least one megameter measuring device and a wired or wireless communication network and for classifying and storing the exercise record information including the sensing information transmitted from the individual exercise amount measuring device and the exercise form and momentum of the user . ≪ / RTI >

One or more manager terminals for receiving and displaying sensing information and exercise record information of at least one exercise amount measuring device selected through the management server in association with the management server, thereby discriminating false movements of the user and determining whether to maintain the posture; As shown in FIG.

As an example, the exercise amount measuring device may further include a camera sensor provided in the mobile device and configured to photograph a face of the user, wherein the first momentum calculating module includes: Wherein the controller is configured to recognize the face in real time, to grasp the motion pattern of the user by combining the face recognition state, the translational motion, and the rotational motion, and to count the corresponding momentum.

The exercise amount measuring apparatus may further include a proximity sensor provided in the mobile device and detecting proximity of the body of the user, wherein the first momentum calculating module includes: And determines the movement pattern of the user by combining the determined proximity of the body with the translational motion and the rotational motion, and counts the corresponding momentum.

Meanwhile, the momentum measuring device includes a step counter sensor provided in the mobile device and sensing a step of a user, an air pressure sensor provided in the mobile device for measuring the air pressure in real time, And a second momentum calculation module for determining a motion pattern of the user by combining the footstep detected by the pressure sensor and the atmospheric pressure measured by the atmospheric pressure sensor, and counting a corresponding momentum, The user can display the motion type and momentum of the user to be processed in the module.

At this time, the second momentum calculation module calculates the speed of the user's step sensed by the step counter sensor, and calculates the speed of the calculated step, the step detected by the step counter sensor, The air pressure may be combined to determine the motion pattern of the user, and the corresponding momentum may be counted.

According to the above-described exercise management system using a mobile device, it is possible to grasp a motion pattern requiring various motions according to a user's motion by using a combination of an inertial sensor, a camera sensor and a proximity sensor provided in the mobile device itself, It is possible to precisely confirm various exercise amounts in daily life and to easily manage exercise records for each user.

1 is a block diagram illustrating a configuration of a motion management system using a mobile device according to an embodiment of the present invention.
2 is a block diagram illustrating an administrator terminal according to an embodiment of the present invention.
Fig. 3 is a schematic diagram showing three axis directions of a mobile device.
4A and 4B are user interface screens for face recognition according to an embodiment of the present invention.
5 is a schematic diagram of the measurement of the momentum for the squat movement.
6 is a schematic diagram of the measurement of the momentum for the sit-up raising motion.
7 is a schematic diagram of the measurement of momentum for the arm-pushing motion.
8 is a flowchart illustrating a method of measuring the amount of exercise using a mobile device according to an embodiment of the present invention.
FIG. 9 is a flowchart of a method of measuring the amount of exercise using a mobile device according to another embodiment of the present invention.
10 is a flowchart of a method of measuring a momentum of a movement management system using a mobile device according to another embodiment of the present invention.
11 is a flowchart of a method of measuring a momentum of a movement management system using a mobile device according to another embodiment of the present invention.
12 is a flowchart of a method of measuring the exercise amount of a exercise management system using a mobile device according to another embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail to the concrete inventive concept. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

The terms first, second, A, B, etc. may be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a block diagram illustrating a configuration of a motion management system using a mobile device according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating an administrator terminal according to an embodiment of the present invention. Fig. 4A and 4B are a user interface screen for face recognition according to an embodiment of the present invention. FIG. 5 is a schematic diagram of the exercise amount measurement for the squat exercise, FIG. 6 is a schematic view of the exercise amount measurement for the sit- And Fig. 7 is a schematic diagram of the measurement of the momentum for the arm-pushing motion.

The exercise management system (hereinafter referred to as "exercise management system") using the mobile device of the present invention includes a momentum measurement device 100 And a management server 200 for storing and managing the processing results of the momentum measuring apparatus 100. [

Referring to FIG. 1, the apparatus 100 for measuring momentum according to an embodiment of the present invention includes an inertial sensor 110, a camera sensor 120, a proximity sensor 130, A step counter sensor 140, an air pressure sensor 150, momentum calculation modules 161 and 162, and a display module 170. [

The momentum measuring apparatus 100 may include a push-up, a sit-up, a squat, a stepping, a walking, a running, a dumbbell, Or the like is determined using a mobile device, and the exercise amount is automatically counted and measured.

Here, the mobile device referred to in the present invention may be a smart phone or a smart watch, and the exercise amount measuring device 100 may be an application program installed in the mobile device, Lt; / RTI >

Accordingly, the at least one momentum measuring apparatus 100 may be provided in accordance with the number of users to be managed.

The momentum measuring apparatus 100 may further include an inertial sensor 110, a camera sensor 120, a proximity sensor 130, a step counter sensor 140, an air pressure sensor 150, The user is allowed to selectively activate one or more of the modules 161 and 162, and by receiving sensing information measured therefrom, the user's motion pattern and its momentum can be measured.

Hereinafter, the detailed configuration will be described.

The inertial sensor 110 may be provided in the mobile device and may be configured to measure the acceleration and the rotational angular velocity of the mobile device itself according to the motion of the mobile device.

The inertial sensor 110 may be composed of an acceleration sensor and a gyro sensor. The acceleration sensor may measure an acceleration related to the translational motion, and the gyro sensor may be configured to measure a rotational angular velocity based on a translational motion axis .

At this time, as shown in FIG. 3, the motion axis may be set such that the lateral direction of the mobile device is the X-axis direction, the upward direction is the Y-axis direction, and the forward direction is the Z-axis direction. And the rotational motion can be defined with respect to each axis.

The rotational motion may be divided into three rotational motions of pitch, yaw, and roll around each axis.

These three translational motion directions and three rotational motion directions can be set using the mobile device.

On the other hand, the values measured by the inertial sensor 110 can be used for determination of motion such as walking or running, and for measuring momentum.

The camera sensor 120 is provided in a mobile device and may be configured to photograph a user's face. The user can be configured to take his / her smartphone with his / her hand while exercising and shoot his or her face. As shown in FIGS. 4A and 4B, the user can be configured to photograph the face on the screen. This face photographing is intended to judge whether the user maintains the correct posture or posture for the corresponding operation during the push-up or squat operation.

The proximity sensor 130 is provided in the mobile device and may be configured to detect proximity of the user's body.

For example, the proximity sensor 130 may be provided in a smartphone and may be configured to detect proximity of a face and a smartphone using a reflection time of infrared rays when the face of the user is brought in contact with the face.

The proximity sensor 130 may be used to determine an operation, such as push-up, and to measure its momentum.

The step counter sensor 140 may be provided in a mobile device and may be configured to detect a step of a user. It is a sensor that functions like a pedometer.

However, we can not detect whether it is walking or running, and we can not directly detect whether it is a stair climb or a stair climb.

The air pressure sensor 150 is provided in a mobile device and can be configured to measure air pressure in real time. Since the atmospheric pressure varies depending on the altitude, the atmospheric pressure sensor 150 can be used to determine whether the user is going up or down the stairs by finely measuring the atmospheric pressure.

The momentum calculation module 161 or 162 may be configured to perform a variety of functions such as push-up, sit-up, squat, stepping, walking, running, Dumbbells and the like by using the sensed values of the above-mentioned sensors, and to measure and measure the amount of exercise according to each exercise type.

In order to determine the motion type, the momentum calculation modules 161 and 162 may be divided into a first momentum calculation module 161 or a second momentum calculation module 162 as shown in FIG.

First, basically, the first momentum amount calculation module 161 calculates the first momentum amount calculation module 161 based on the inertia sensor 110, Motion, and rotational motions based on the X-axis, the Y-axis, and the Z-axis, respectively. Here, the momentum calculation module 160 may be configured to determine the motion pattern of the user by combining the calculated translational motion and rotational motion, and to count the corresponding momentum.

If the user moves while holding the mobile device by hand, the user can see whether the user is moving forward or upward and which direction the user is rotating.

More specifically, the first momentum calculation module 161 recognizes a face photographed by the camera sensor 120 in real time, combines a recognition state of the face, a translational motion and a rotational motion to determine a user's motion pattern And count the corresponding momentum.

Referring to FIG. 5, the user may be configured to straighten his / her arm so that the mobile device is placed at the shoulder height and photograph his / her face with the camera sensor 120. In this case, when the squat operation is performed repeatedly while sitting and standing, it is possible to determine that the user is performing the squat operation by grasping the moving state of the mobile device in the vertical direction.

The number of squat operations can be counted in accordance with the upward and downward movement. Here, the rotational motion of the X axis, the Y axis, and the Z axis should not be sensed, and the values for the translational motion of the X axis and the Z axis should not change. And the momentum is counted every time the translational motion of the Y axis is counted.

Referring to FIG. 6, the user performs a sit-up operation while photographing his / her face with the camera sensor 120 while the user is lying down. The user checks the change in the inertial motion of the mobile device to determine whether to perform sit- . In the sit-up operation, rotational motion of the Y-axis and translation of the Z-axis must be detected without detecting the rotational motion of the Y-axis and the Z-axis and the translational motion of the X-axis. The face photographing of the camera is used to make sure that the posture is not disturbed.

On the other hand, the first momentum calculation module 161 recognizes the face photographed by the camera sensor 120 in real time, judges in real time whether or not the body sensed by the proximity sensor 130 is proximate to the body, And can determine the user's motion pattern by combining the determined proximity of the body and the translational motion and the rotational motion, and count the corresponding momentum.

Referring to FIG. 7, the user places the smartphone on the floor under the face in the push-up position, and photographs the user's face. And when the user pushes up and pushes his / her face closer to the smartphone and then moves away from the smartphone, it can be judged that the user pushes and pushes up in the correct posture. Here, translational motion or rotational motion should not be performed.

On the other hand, the second momentum calculation module 162 determines the motion form of the user by combining the step detected by the step counter sensor 140 and the air pressure measured by the air pressure sensor 150, .

The second momentum calculation module 162 calculates the speed of the user's step sensed by the step counter sensor 140, and calculates the speed of the calculated step, the step sensed by the step counter sensor 140, The user may determine the motion pattern of the user by combining the atmospheric pressure measured by the controller 150 and count the corresponding momentum.

The step counter sensor 140 may be used while being held in the vicinity of the user's waist.

The second momentum calculation module 162 may be configured to calculate the approximate pressure magnitude by applying the air pressure of the air pressure sensor 150 to the following equation (1).

Where T ₀ is the standard temperature at sea level, L is the temperature reduction rate, R is the universal gas constant, g is the gravitational acceleration, and M is the molar mass of the air.

(1), it is possible to deduce the inter-layer height and the relative height difference by the step motion. Since the atmospheric pressure changes with the passage of time, it can be configured to measure the time during which the user moves up and down the stairs by measuring the change in the atmospheric pressure occurring during a short time.

The second momentum calculation module 162 can measure not only the step operation but also the walking and the run, thereby measuring the amount of exercise. The step counter sensor 140 senses the step, and detects the change of the air pressure by the air pressure sensor 150 , It is possible to distinguish stair operation from general walk / run operation. If there is no change in atmospheric pressure, it can be judged to be a walking motion or a running motion.

Of course, walking, running, stair climbing, and stair climbing are basically a comprehensive judgment based on the detection of translational motion or rotational motion.

In the case of walking or running, since there is a difference in the degree of movement with time, it may be configured to distinguish the walking operation from the running operation according to the rate of change in sensing value per unit time of the step counter sensor 140.

In the case of the dumbbell operation, the mobile device can be configured to be attached to one wrist. If only one of the translational motions of the X axis, the Y axis and the Z axis is changed around one axis, it can be regarded as a dumbbell motion and the motion amount can be counted.

8 is a flowchart illustrating a method of measuring the amount of exercise using a mobile device according to an embodiment of the present invention.

Referring to FIG. 8, the inertial sensor 110 provided in the mobile device measures the acceleration and the rotational angular velocity of the mobile device (S101).

Next, the first momentum amount calculating module 161 provided in the mobile device measures the lateral direction (X-axis direction), the upward direction (Y-axis direction), and the forward direction (Z- And a rotational motion with respect to each of the X-axis, the Y-axis, and the Z-axis is calculated (S102).

Next, the first momentum calculation module 161 calculates the movement form of the user by combining the calculated translational motion and the rotational motion, and counts the corresponding momentum (S103).

FIG. 9 is a flowchart of a method of measuring the amount of exercise using a mobile device according to another embodiment of the present invention.

9, the inertial sensor 110 provided in the mobile device measures the acceleration and the rotational angular velocity of the mobile device, and the proximity sensor 130 provided in the mobile device measures the acceleration The proximity of the body is sensed (S201).

Next, the first momentum calculation module 161 provided in the mobile device measures the lateral direction (X axis direction), the upward direction (Y axis direction) and the front direction (Z axis direction) of the mobile device by the inertial sensor 110 Axis, the Y-axis, and the Z-axis, respectively, and determines whether or not the body detected by the proximity sensor 130 is in real-time (S202).

Next, the first momentum calculation module 161 determines the motion pattern of the user by combining the determined proximity of the body, the translational motion and the rotational motion, and counts the corresponding momentum (S203).

10 is a flowchart of a method of measuring a momentum of a movement management system using a mobile device according to another embodiment of the present invention.

10, the inertial sensor 110 provided in the mobile device measures the acceleration and the rotational angular velocity of the mobile device, and the camera sensor 120 provided in the mobile device measures the user's face (S301).

Next, the first momentum calculation module 161 provided in the mobile device is moved in the lateral direction (X-axis direction), the upward direction (Y-axis direction) and the front direction Axis, the Y-axis, and the Z-axis, respectively, and recognizes the face photographed by the camera sensor 120 in real time (S302).

Next, the first momentum calculation module 161 combines the face recognition state, translational motion and rotational motion to grasp the motion pattern of the user and counts the corresponding momentum (S303).

11 is a flowchart of a method of measuring a momentum of a movement management system using a mobile device according to another embodiment of the present invention.

11, the inertial sensor 110 provided in a mobile device measures the acceleration and the rotational angular velocity of the mobile device, and the camera sensor 120 provided in the mobile device measures the user's face And a proximity sensor 130 provided in the mobile device senses proximity of the user's body (S401).

Next, the first momentum amount calculating module 161 provided in the mobile device measures the lateral direction (X-axis direction), the upward direction (Y-axis direction), and the forward direction (Z- The rotational motion based on each of the X-axis, the Y-axis, and the Z-axis is calculated, the face photographed by the camera sensor 120 is recognized in real time, and the face detected by the proximity sensor 130 It is determined in real time whether or not the body is in close proximity (S402).

Next, the first momentum calculation module 161 combines the face recognition state, the proximity of the body, the translational motion, and the rotational motion to determine the motion pattern of the user and counts the corresponding momentum (S403).

12 is a flowchart of a method of measuring the exercise amount of a exercise management system using a mobile device according to another embodiment of the present invention.

Referring to FIG. 12, a step counter sensor 140 provided in a mobile device senses a user's step (S501).

Next, the air pressure sensor 150 provided in the mobile device measures the air pressure in real time (S502).

Next, the second exercise amount calculation module 162 provided in the mobile device compares the user's motion pattern by combining the step detected by the step counter sensor 140 and the air pressure measured by the air pressure sensor 150, And the corresponding momentum is counted (S503).

Here, the second momentum calculation module 162 calculates the speed of the user's step sensed by the step counter sensor 140, and calculates the speed of the calculated step, the step sensed by the step counter sensor 140, The user may determine the motion pattern of the user by combining the atmospheric pressure measured by the controller 150 and count the corresponding momentum.

The display module 170 may be provided in the mobile device and may display a processing result of the momentum calculation module 161 or 162.

That is, the display module 170 may be displayed through a display provided in the mobile device. The display module 170 may display the motion patterns detected by the motion-amount calculation modules 161 and 162 and the number of movements corresponding to the motion, To be able to recognize.

In addition, the display module 170 may display a recommended exercise amount for each day and exercise type transmitted from the management server 200, which will be described below, as well as individually display the exercise amount counted by the exercise amount calculation modules 161 and 162 And may be displayed in a form in which the amount of exercise repaired at the recommended exercise amount is subtracted.

1, the management server 200 transmits and receives data to and from the at least one exercise amount measurement apparatus 100 via a wired and wireless communication network, and transmits sensing information transmitted from the individual exercise amount measurement apparatus 100, And the exercise record information including the exercise form and the exercise amount of the exercise record information.

The management server 200 may include a database for each of the momentum measuring apparatuses 100 and may store information received from the angular momentum measuring apparatus 100, though it is not shown in the figure.

In addition, the management server 200 may classify and store the user's exercise record information by dividing the information received from the angular momentum measuring apparatus 100 into exercise types.

Further, the database of the management server 200 may further include additional information including basic information of a registered user such as a user's name, sex, body information, daily recommended exercise amount, and the like.

The management server 200 may extract the corresponding information from the database in response to the information request of the momentum measuring apparatus 100 and provide the extracted information. For example, the past exercise record for each user, the achievement rate with respect to the recommended exercise amount according to the exercise type, and the image captured when the user exercises the exercise can be provided.

Meanwhile, the exercise management system according to an embodiment of the present invention may further include one or more administrator terminals 300 as shown in FIG.

Referring to FIG. 2, the sensing information and exercise record information of one or more exercise amount measuring devices 100 selected through the management server 200 in association with the management server 200 are received and displayed, And can judge whether the posture is maintained or not.

For example, the administrator terminal 300 displays an image of a user photographed by the camera sensor 120 among the sensing information of the momentum measuring apparatus 100, and an administrator confirms a false image Or whether the posture is maintained or not.

The manager terminal 300 can confirm the recommended exercise amount achievement status for each user based on the sensing information and the exercise record information of the exercise amount measuring device 100. The administrator terminal 300 sets a recommended exercise amount for each user, To be displayed on the momentum measuring apparatus 100. [

The manager terminal 300 is configured to receive sensing information and exercise record information for one exercise quantity measurement device 100 through the management server 200 to provide a one-to-one customized service, Sensing information and exercise record information about the user 100, and thereby provide a service for a plurality of users.

In addition, the manager terminal 300 may be configured to provide the exercise quantity measurement device 100 with the check and prescription information about the specific exercise form through the management server 200 based on the sensing information and the exercise record information of the exercise quantity measurement device 100 Can be provided.

That is, the administrator terminal 300 is a terminal for performing exercise management for a user by a trainer. The administrator terminal 300 confirms the image or exercise record information of each user, And the like, and to provide the prescribed information to the exercise quantity measuring apparatus 100. [0064]

For this, the administrator terminal 300 may include an input interface for inputting check and prescription information, and the check and prescription information inputted through the input interface may include all of text, voice, image, have.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention as defined in the following claims. There will be.

100: Momentum measuring device
110: inertia sensor
120: Camera sensor
130: proximity sensor
140: Step counter sensor
150: Pressure sensor
161, 162: momentum calculation module
170: Display module
200: management server
300: administrator terminal

Claims (6)

An inertial sensor provided in a mobile device for measuring an acceleration and a rotational angular velocity of the mobile device; and an inertial sensor provided in the mobile device for measuring a lateral direction (X axis direction), an upward direction (Y axis direction) (Z-axis direction) and the rotational motions with respect to the X-axis, the Y-axis, and the Z-axis, respectively, and combines the calculated translational motion and rotational motion to determine the motion pattern of the user At least one momentum measuring device including a first momentum calculating module for counting the corresponding momentum and a display module for displaying a motion type and a momentum of the user processed in the first momentum calculating module; And
And a management server for transmitting and receiving data through the at least one megameter measuring device and a wired or wireless communication network and for classifying and storing the exercise record information including the sensing information transmitted from the individual exercise amount measuring device and the exercise form and momentum of the user Wherein the mobile device measures and manages the exercise amount using the mobile device.
The method according to claim 1,
One or more manager terminals for receiving and displaying sensing information and exercise record information of one or more exercise amount measuring devices selected through the management server in association with the management server and discriminating false motion of the user and determining whether to maintain the posture; And measuring the amount of movement of the mobile device.
The method according to claim 1,
Wherein the momentum measuring device comprises:
Further comprising a camera sensor provided in the mobile device for photographing the face of the user,
Wherein the first momentum calculation module comprises:
Recognizing the face photographed by the camera sensor, and recognizing the motion pattern of the user by combining the face recognition state, the translational motion and the rotational motion, and counting the corresponding momentum. Momentum measurement and management system.
The method according to claim 1 or 3,
Wherein the momentum measuring device comprises:
Further comprising a proximity sensor provided in the mobile device and detecting proximity of the user's body,
Wherein the first momentum calculation module comprises:
A proximity sensor for detecting a proximity of the body sensed by the proximity sensor, and a controller for sensing a movement pattern of the user by combining the determined proximity of the body and the translational motion and the rotational motion, Measurement and management system of exercise quantity using mobile device.
The method according to claim 1,
Wherein the momentum measuring device comprises:
A step counter sensor provided in the mobile device for sensing a step of a user, an air pressure sensor provided in the mobile device for real time measurement of air pressure, And a second momentum calculating module for determining a motion pattern of the user by combining the atmospheric pressure measured by the air pressure sensor and counting the corresponding momentum,
The display module includes:
Wherein the second exercise amount calculating module displays the exercise type and the exercise amount of the user to be processed in the second exercise amount calculating module.
6. The method of claim 5,
Wherein the second momentum calculation module comprises:
Calculating a speed of a user's step sensed by the step counter sensor, combining the calculated speed of the step, the step sensed by the step counter sensor and the atmospheric pressure measured by the atmospheric pressure sensor, And counting the corresponding momentum. The system for measuring and managing exercise quantity using a mobile device according to claim 1,

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