KR20180060541A - Apparatus and method of measuring amount of exercise using mobile device - Google Patents

Abstract

Disclosed are an apparatus and a method for measuring exercise quantity using a mobile device. The present invention comprises: an inertia sensor provided in the mobile device to measure acceleration and rotational angular velocity of the mobile device; and an exercise quantity calculation module using the inertial sensor to respectively calculate translational motion with respect to each of a side direction (X-axis direction), an upper direction (Y-axis direction) and a front direction (X-axis direction) of the mobile device and rotational motion with respect to each of the X-axis, the Y-axis and the Z-axis, combining the calculated translational motion with the calculated rotational motion to check a user exercise type and counting corresponding exercise quantity. The apparatus and the method for measuring the exercise quantity using the mobile device is configured to check the exercise type, requiring various motions and to measure the exercise quantity by using an inertia sensor, a camera sensor, a proximity sensor and the like complexly in the mobile device, thereby precisely and conveniently managing various kinds of exercise quantity in life.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to an apparatus and method for measuring a momentum using a mobile device,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus and method for measuring a momentum of a user, and more particularly, to an apparatus and method for measuring a momentum using a mobile device. More particularly, the present invention relates to a push- and more particularly to a device and a method for measuring the amount of exercise such as walking, up, squat, stepping, walking, running, dumbbell, and the like.

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

An object of the present invention is to provide a device for measuring a momentum using a mobile device.

It is another object of the present invention to provide a method of measuring the amount of exercise using a mobile device.

According to an aspect of the present invention, there is provided an apparatus for measuring a momentum using a mobile device, the apparatus comprising: an inertia sensor provided in a mobile device for measuring an acceleration and a rotational angular velocity of the mobile device; (X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X-, Y- and Z- And a momentum calculating module for calculating a motion pattern of the user by combining the calculated translational motion and the rotational motion and counting the corresponding momentum.

The mobile device further includes a camera sensor provided in the mobile device and configured to photograph a face of the user, wherein the momentum calculating module recognizes a face photographed by the camera sensor in real time, And may be configured to recognize the motion pattern of the user by combining the translational motion and the rotational motion, and to count the corresponding momentum.

And a proximity sensor provided in the mobile device and detecting proximity of the body of the user, wherein the momentum calculating module determines in real time whether or not the body detected by the proximity sensor is in proximity to the body, The controller may be configured to determine the motion pattern of the user by combining the determined proximity of the body and the translational motion and the rotational motion, and to count the corresponding momentum.

According to an aspect of the present invention, there is provided an apparatus for measuring a momentum using a mobile device, the apparatus comprising: a step counter sensor provided in a mobile device for sensing a step of a user; An air pressure sensor provided in the mobile device and measuring the air pressure in real time; And a momentum calculating module for calculating a momentum of the user by combining the stepped sensed by the step counter sensor and the atmospheric pressure measured by the atmospheric pressure sensor, and counting the corresponding momentum.

Here, the momentum calculation module may be configured to recognize the motion pattern of the user by combining the step detected by the step counter sensor and the atmospheric pressure measured by the atmospheric pressure sensor, and count the corresponding momentum.

At this time, the momentum calculation module calculates the speed of the user's step sensed by the step counter sensor, and calculates the momentum based on the calculated step speed, the step detected by the step counter sensor and the air pressure measured by the air pressure sensor And may be configured to identify the motion pattern of the user and to count the corresponding momentum.

According to another aspect of the present invention, there is provided a method of measuring a momentum using a mobile device, comprising: measuring an acceleration and a rotational angular velocity of the mobile device by an inertial sensor included in the mobile device; (X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X- Calculating rotational motions based on the axis, the Y axis, and the Z axis, respectively; And the momentum calculation module may calculate the motion pattern of the user by combining the calculated translational motion and rotational motion, and counting the corresponding momentum.

According to another aspect of the present invention, there is provided a method of measuring a momentum using a mobile device, the method comprising: measuring an acceleration and a rotational angular velocity of the mobile device by an inertial sensor included in the mobile device; detecting proximity of the user's body; (X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X- Axis, the Y-axis, and the Z-axis, respectively, and determining the proximity of the body sensed by the proximity sensor in real time; And the exercise amount calculating module may be configured to determine the exercise form of the user by combining the determined proximity of the body and the translational motion and the rotational motion, and to count the corresponding exercise amount.

According to another aspect of the present invention, there is provided a method of measuring a momentum using a mobile device, the method comprising: measuring an acceleration and a rotational angular velocity of the mobile device by an inertial sensor included in the mobile device; photographing a user's face by a camera sensor; (X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X- Calculating rotation motions based on the axis, the Y axis, and the Z axis, respectively, and recognizing the face photographed by the camera sensor in real time; And calculating the momentum of the user by combining the recognition state of the face and the translational motion and the rotational motion, and counting the corresponding momentum.

According to another aspect of the present invention, there is provided a method of measuring a momentum using a mobile device, the method comprising: measuring an acceleration and a rotational angular velocity of the mobile device by an inertial sensor included in the mobile device; a camera sensor captures a user's face and a proximity sensor provided in the mobile device senses proximity of the user's body; (X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X- Calculating rotation motions based on each of the axis, the Y axis, and the Z axis, real-time recognizing the face photographed by the camera sensor, and determining the proximity of the body sensed by the proximity sensor in real time; Calculating the momentum of the user by combining the recognition state of the face and proximity of the body with the translational motion and the rotational motion, and counting the corresponding momentum.

According to another aspect of the present invention, there is provided a method of measuring the amount of exercise using a mobile device, comprising: sensing a step of a user by a step counter sensor provided in a mobile device; Measuring the atmospheric pressure in real time by the atmospheric pressure sensor provided in the mobile device; Calculating a momentum of a user by combining a step detected by the step counter sensor and a barometric pressure measured by the barometric pressure sensor, and counting a corresponding momentum; .

Here, the exercise amount calculating module provided in the mobile device may determine the exercise form of the user by combining the footstep detected by the step counter sensor and the atmospheric pressure measured by the atmospheric pressure sensor, and counting the exercise amount, Wherein the momentum calculation module calculates a speed of a user's step sensed by the step counter sensor, and combines the calculated step speed with a step sensed by the step counter sensor and a pressure measured by the atmospheric pressure sensor, It is possible to determine the motion form of the user and to count the corresponding momentum.

According to the apparatus and method for measuring the amount of exercise using the mobile device described above, it is possible to determine the type of exercise requiring various operations using the inertia sensor, the camera sensor, the proximity sensor, etc. of the mobile device and measure the amount of exercise, It is possible to precisely and conveniently check and manage various kinds of momentum in the body.

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

Referring to FIG. 1, an apparatus 100 for measuring a momentum using a mobile device according to an exemplary 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, and a momentum calculation module 160. The proximity sensor 130 may be a microprocessor,

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 >

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 controller 160 may be configured to selectively activate one or more of the modules 160 and receive the sensed information from the controller 160 to measure the user's motion pattern and the amount of exercise.

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 .

As shown in FIG. 2, 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. 3A and 3B, the user can be configured to photograph a face on the screen in a matching manner. 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 a walk or a run, 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 160 may be configured to calculate the momentum of a subject using a push-up, a sit-up, a squat, a stepping, a walking, a running, a dumbbell, Or 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.

First, the momentum calculation module 160 basically calculates the momentum calculation module 160 based on the translational motion of the inertial sensor 110 in the lateral direction (X-axis direction), the upward direction (Y-axis direction) Axis, 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 momentum calculation module 160 recognizes the face photographed by the camera sensor 120 in real time, and recognizes the motion pattern of the user by combining the face recognition state, translational motion and rotational motion, And may be configured to count the momentum.

Referring to FIG. 4, the user may be configured to straighten his / her arm so that the mobile device is at a shoulder height and photograph his / her face with the camera sensor 120. In this case, when squatting is performed repeatedly, the user can grasp the vertical movement of the mobile device and determine the squat operation.

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. 5, the user performs a sit-up operation while photographing his / her face with the camera sensor 120 in a lying state. The user checks the change in the inertial motion of the mobile device to determine whether to perform a 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 momentum calculation module 160 recognizes the face photographed by the camera sensor 120 in real time, judges in real time whether or not the body detected by the proximity sensor 130 is in real time, The user may be configured to recognize the motion pattern of the user by combining the proximity of the body with the translational motion and the rotational motion, and to count the corresponding momentum.

Referring to FIG. 6, the user places the smartphone on the floor below 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 momentum calculation module 160 calculates the momentum of the user by combining the step sensed by the step counter sensor 140 and the atmospheric pressure measured by the atmospheric pressure sensor 150, Lt; / RTI >

The momentum calculating module 160 calculates the speed of the user's step sensed by the step counter sensor 140 and calculates the speed of the calculated step and the step detected by the step counter sensor 140, ) To determine the motion pattern of the user, and to count the corresponding momentum.

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

The momentum calculation module 160 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 momentum calculation module 160 can measure not only the step operation but also the walking and the run, and the momentum can be measured. It is possible to detect the step by the step counter sensor 140 and determine whether there is a change in the air pressure by the air pressure sensor 150 It is possible to distinguish stair motion from general walking / run motion. 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.

7 is a flowchart illustrating a method of measuring a momentum using a mobile device according to an embodiment of the present invention.

Referring to FIG. 7, the inertial sensor 110 provided in the mobile device measures the acceleration and the rotational angular velocity of the mobile device (S101).

Next, the momentum calculation module 160 provided in the mobile device is moved in the lateral direction (X-axis direction), the upward direction (Y-axis direction) and the forward direction (Z-axis direction) And rotational motion based on the X-axis, the Y-axis, and the Z-axis, respectively (S102).

Next, the momentum calculation module 160 calculates the movement form of the user by combining the calculated translational motion and rotational motion, and counts the corresponding momentum (S103).

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

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

Next, the momentum calculation module 160 provided in the mobile device is moved in the lateral direction (X-axis direction), the upward direction (Y-axis direction) and the forward direction (Z-axis direction) Axis, the Y-axis, and the Z-axis, respectively, and determines whether or not the body sensed by the proximity sensor 130 is in real-time (S202).

Next, the momentum calculation module 160 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).

9 is a flowchart of a method of measuring a momentum 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 camera sensor 120 provided in the mobile device measures the user's face (S301).

Next, the momentum calculation module 160 provided in the mobile device is moved in the lateral direction (X-axis direction), the upward direction (Y-axis direction) and the forward direction (Z-axis direction) And rotational motion based on the X-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 momentum calculation module 160 recognizes the motion pattern of the user by combining the recognition state of the face, the translational motion and the rotational motion, and counts the corresponding momentum (S303).

10 is a flowchart illustrating a method of measuring a momentum 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 And a proximity sensor 130 provided in the mobile device senses proximity of the user's body (S401).

Next, the momentum calculation module 160 provided in the mobile device is moved in 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 the X-axis, the Y-axis, and the Z-axis, respectively, and recognizes the face photographed by the camera sensor 120 in real time, and recognizes the face detected by the proximity sensor 130 It is determined in real time whether it is close (S402).

Next, the momentum calculation module 160 determines the motion pattern of the user by combining the face recognition state, the proximity of the body, the translational motion, and the rotational motion, and counts the corresponding momentum (S403).

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

Referring to FIG. 11, 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 exercise amount calculation module 160 provided in the mobile device compares the exercise form of the user by combining the steps detected by the step counter sensor 140 and the atmospheric pressure measured by the atmospheric pressure sensor 150, (S503).

Here, the momentum calculation module 160 calculates the pace of the user's step sensed by the step counter sensor 140, calculates the speed of the calculated step, the step sensed by the step counter sensor 140, ) To determine the motion pattern of the user, and to count the corresponding momentum.

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.

110: inertia sensor
120: Camera sensor
130: proximity sensor
140: Step counter sensor
150: Pressure sensor
160: momentum calculation module

Claims (11)

An inertial sensor provided in a mobile device for measuring an acceleration and a rotational angular velocity of the mobile device;
(X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X-, Y- and Z- And a momentum calculating module for calculating a motion type of the user by combining the calculated translational motion and the rotational motion and counting the corresponding momentum.
The method according to claim 1,
Further comprising a camera sensor provided in the mobile device for photographing the face of the user,
Wherein the momentum calculating module comprises:
Recognizing the face photographed by the camera sensor, recognizing the motion pattern of the user by combining the recognition state of the face, the translational motion and the rotational motion, and counting the corresponding exercise amount. Momentum measuring device.
3. The method according to claim 1 or 2,
Further comprising a proximity sensor provided in the mobile device and detecting proximity of the user's body,
Wherein the momentum calculating 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, Wherein the mobile device is a mobile device.
A step counter sensor provided in the mobile device and sensing a step of the user;
An air pressure sensor provided in the mobile device and measuring the air pressure in real time;
And a momentum calculating module for calculating a momentum of the user by combining the stepped sensed by the step counter sensor and the atmospheric pressure measured by the atmospheric pressure sensor, and counting the corresponding momentum.
5. The method of claim 4,
Wherein the momentum calculating 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 apparatus according to claim 1,
Measuring an acceleration and a rotational angular velocity of the mobile device by an inertial sensor included in the mobile device;
(X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X- Calculating rotational motions based on the axis, the Y axis, and the Z axis, respectively;
And calculating the momentum of the user by combining the calculated translational motion and the rotational motion, and counting a corresponding momentum of the user.
Measuring an acceleration and a rotational angular velocity of the mobile device by an inertial sensor included in the mobile device and detecting proximity of the user to a proximity sensor provided in the mobile device;
(X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X- Axis, the Y-axis, and the Z-axis, respectively, and determining the proximity of the body sensed by the proximity sensor in real time;
And calculating the momentum of the user by combining the proximity of the determined body with the determined translational motion and the rotational motion, and counting the corresponding momentum. How to measure momentum.
Measuring an acceleration and a rotational angular velocity of the mobile device by an inertial sensor included in the mobile device and photographing a user's face by a camera sensor provided in the mobile device;
(X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X- Calculating rotation motions based on the axis, the Y axis, and the Z axis, respectively, and recognizing the face photographed by the camera sensor in real time;
And calculating the momentum of the user by combining the recognition state of the face with the translational motion and the rotational motion, and counting the corresponding momentum.
An inertial sensor provided in a mobile device measures an acceleration and a rotational angular velocity of the mobile device, a camera sensor provided in the mobile device measures a face of the user, Detecting proximity of the user's body by a proximity sensor;
(X-axis direction), an upward direction (Y-axis direction), and a forward direction (Z-axis direction) of the mobile device by the inertial sensor and the X- Calculating rotation motions based on each of the axis, the Y axis, and the Z axis, real-time recognizing the face photographed by the camera sensor, and determining the proximity of the body sensed by the proximity sensor in real time;
And calculating the momentum of the user by combining the recognition state of the face and the proximity of the body with the translational motion and the rotational motion, and counting the corresponding momentum. A method of measuring momentum using a mobile device.
A step counter sensor provided in a mobile device detects a step of a user;
Measuring the atmospheric pressure in real time by the atmospheric pressure sensor provided in the mobile device;
Calculating a momentum of a user by combining a step detected by the step counter sensor and a barometric pressure measured by the barometric pressure sensor, and counting a corresponding momentum; Measurement method of momentum using mobile device.
11. The method of claim 10,
Wherein the step of calculating a momentum of the mobile device includes a step of detecting a step of the step counter sensor and a pressure of the atmospheric pressure measured by the atmospheric pressure sensor to determine a motion pattern of the user,
Wherein the momentum calculation module calculates a speed of a user's step sensed by the step counter sensor, and combines the calculated step speed with a step sensed by the step counter sensor and a pressure measured by the atmospheric pressure sensor, And determining the motion type of the user and counting the corresponding momentum.

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