KR102039616B1 - Apparatus and method for managing exercise information - Google Patents

Abstract

An exercise type recognition apparatus according to an embodiment of the present invention, a wrist movement detection unit for obtaining wrist movement information including the orientation (orientation) information and movement information of the user's wrist, the orientation information and movement information of the user's torso The reference for the upper body exercise detection unit for obtaining the upper body exercise information, including a plurality of exercise types and the reference wrist exercise information and reference upper body exercise information corresponding to each of the exercise type and the reference for each of the exercise type, Calculating the similarity of the wrist exercise information to wrist exercise information and the similarity of the upper body exercise information to the reference upper body exercise information, and based on the result of the calculation, an exercise corresponding to the exercise performed by the user among the exercise types It may include a control unit for predicting the type.

Description

Apparatus and method for managing exercise information {APPARATUS AND METHOD FOR MANAGING EXERCISE INFORMATION}

The present invention predicts the type of exercise performed by the user based on the information related to the orientation and movement of the user's body part obtained through the sensor, thereby conveniently recording and managing the user's exercise information. The present invention relates to an exercise type recognition apparatus and method.

With the development of information and communication technology, various portable electronic devices have flooded. In particular, a wearable computer, which is an electronic device in a form that can be worn on a human body, such as glasses, watches, and clothes, which have been further enhanced in portability and convenience, has been in the spotlight. Recently, the most popular among the wearable computer is a smart watch worn on the wrist of a person. The smart watch is easy to wear and can perform various functions for the user's convenience even at a small size, which can greatly contribute to improving the quality of life of the user.

As a method of using a wearable computer such as a smart watch, it is possible to manage exercise information such as exercise type, frequency, and schedule of a user who exercises for physical fitness. In general, exercise-related activities are carried out in public spaces such as gymnasiums or outdoors, not at home or offices, but wearables are easier to carry than devices such as personal computers (PCs). Using a computer may be more desirable in terms of convenience and efficiency.

Wearable computers having such exercise management functions have been released in the past. For example, for a certain product, if the user manually inputs an exercise type before starting the exercise, the exercise record is performed assuming that the exercise performed by the user is the exercise type. Such a conventional product does not recognize itself as to what kind of exercise the user performs, and has no choice but to rely on input from the user. Therefore, every time the user switches the type of exercise, the user must operate the menu of the wearable computer to perform the input, thereby reducing the utility and convenience. As another example, there is a technique of using a sensor to obtain information related to a user's physical activity and to estimate the exercise state of the user through this. However, the present technology can only predict the type and intensity of the approximate exercise by using the user's moving speed, body temperature, and heart rate, and does not specifically identify the type of exercise that includes relatively precise movements such as weight training. can not do it.

In addition, according to the related art, since the type of exercise is limited to only the type previously input into the wearable computer, it is impossible to manage a new exercise method learned or created by the user.

Korean Laid-Open Patent Publication, 10-2015-0107268 (2015.09.23.published)

An object of the present invention is to provide an apparatus and method for automatically predicting the type of exercise performed by a user without manual input by the user, and conveniently recording and managing the user's exercise information. It is.

The exercise information management apparatus according to an embodiment of the present invention is provided in the exercise equipment used for the exercise performed by the user, exercise equipment information including weight information of the portion of the exercise equipment moved by the force applied by the user And an information processor configured to generate user exercise information including time series information about the use of the exercise apparatus by the user, based on the information obtaining unit generating the information and the exercise apparatus information.

The information processor may be located in the portable electronic device of the user, and the information acquirer may include a wireless communication module for transmitting the exercise equipment information to the information processor.

The apparatus may further include an information storage unit for storing information on the type of the exercise device provided with the information acquisition unit, wherein the information acquisition unit is determined based on the information on the type of the exercise device. Generates and transmits the generated information to the information processing unit, and the information processing unit may identify the type of the exercise device used by the user based on the exercise device identification signal.

The information acquiring unit may include an acceleration sensor and determine whether the part is present in the exercise device by using an acceleration value measured by the acceleration sensor.

The information processor may identify the type of exercise equipment used by the user based on a result of comparing the exercise equipment information with predetermined reference exercise equipment information.

In addition, the user exercise information may include the type of exercise equipment used by the user, the weight information corresponding to each type of exercise equipment, and the information on the time period used and the number of times of use of each type of exercise equipment. Can be.

The information acquiring unit may include a pressure sensor measuring a pressure applied by a moving part by a force applied by the user, and generating the weight information based on a value of the pressure measured by the pressure sensor. have.

The information acquiring unit may further include an acceleration sensor that measures an acceleration of a moving part by a force applied by the user, and the value of the pressure measured by the pressure sensor of the acceleration sensor is measured. The weight information may be generated based on a result of correction using a value.

Exercise information management method according to an embodiment of the present invention, by using the information acquisition unit installed in the exercise equipment used for the exercise performed by the user, the weight information of the portion of the exercise equipment moved by the force applied by the user And a second step of generating user exercise information including time series information on the use of the exercise device by the user, based on the first step of generating exercise equipment information including the exercise equipment information. .

The second step may be performed by the portable electronic device of the user, and the information acquisition unit may include a wireless communication module for transmitting the exercise device information to the portable electronic device.

The first step may include generating an exercise device identification signal using previously stored information on the type of the exercise device provided with the information acquisition unit, and the second step may include generating the exercise device identification signal. And identifying the type of the exercise device used by the user.

The first step may include determining whether the part is present in the exercise device by using the acceleration value measured by the acceleration sensor.

The second step may include identifying a type of exercise device used by the user based on a result of comparing the exercise device information with predetermined reference exercise device information.

In addition, the user exercise information may include the type of exercise equipment used by the user, the weight information corresponding to each type of exercise equipment, and the information on the time period used and the number of times of use of each type of exercise equipment. Can be.

The information acquiring unit may include a pressure sensor that measures a pressure applied by a portion moved by a force applied by the user, and the first step may be performed based on a value of the pressure measured by the pressure sensor. And generating weight information.

The information acquiring unit may further include an acceleration sensor measuring acceleration of a moving part by a force applied by the user, and the first step may include: transmitting the value of the pressure measured by the pressure sensor to the acceleration sensor; The method may include generating the weight information based on a result of the correction using the acceleration value measured by the measurement.

According to an embodiment of the present invention, the sensor acquires information related to orientation and movement of the user's wrist and torso through a sensor, and compares the obtained information with information stored in the storage to predict the type of exercise performed by the user. Can be. Accordingly, since the type of exercise performed by the user can be accurately determined even with a minimum sensor device, convenience and efficiency can be improved. In addition, according to an embodiment of the present invention, it is possible to additionally provide an exercise correction function, a user-defined exercise type generation function, and the like, and convenience and utility may be further improved.

1 is a view conceptually showing an exercise type recognition apparatus according to an embodiment of the present invention.
2 is a diagram illustrating a configuration of an exercise type recognition apparatus according to an embodiment of the present invention.
3 is a diagram illustrating a sequence of an exercise type recognition method performed by an exercise type recognition apparatus according to an embodiment of the present invention.
4A to 4F are diagrams for describing a detailed operation of an exercise type recognition apparatus according to an embodiment of the present invention.
5 is a view for explaining a function for recognizing a patterned exercise among the functions of the exercise type recognition apparatus according to an embodiment of the present invention.
6 is a view for explaining the exercise correction function of the function of the exercise type recognition apparatus according to an embodiment of the present invention.
7A to 7C are views for explaining an exercise device information recognition function according to an embodiment of the present invention.

Advantages and features of the present invention and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but can be implemented in various different forms, and only the embodiments make the disclosure of the present invention complete, and the general knowledge in the art to which the present invention belongs. It is provided to fully inform the person having the scope of the invention, which is defined only by the scope of the claims.

In describing the embodiments of the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, terms to be described below are terms defined in consideration of functions in the embodiments of the present invention, which may vary according to intentions or customs of users and operators. Therefore, the definition should be made based on the contents throughout the specification.

1 is a view conceptually showing an exercise type recognition apparatus according to an embodiment of the present invention. As noted at the beginning of the present specification, the user 200 exercising may manage his / her exercise information through the exercise type recognition device 100 implemented in the form of a wearable computer for convenience and efficiency.

The exercise type recognition apparatus 100 according to an exemplary embodiment may measure exercise information of each of one or more specific body parts of the user 200. The body part, which is the object of measurement of the exercise information, can be anywhere, but for the convenience of the user 200, it is necessary to obtain the result of the exercise type recognition as accurate as possible by measuring the minimum body part. Accordingly, the exercise type recognition apparatus 100 according to an embodiment of the present invention may use only the exercise information on the wrist and the upper body (more specifically, the torso and the torso) of the user 200. The type of exercise of the user 200 can be accurately recognized.

In order to acquire the exercise information of the body part such as the wrist or the torso of the user 200, the exercise type recognition apparatus 100 is mounted on the body of the user 200 as shown in FIG. 1 to obtain exercise information. It may include. Specific exercise information obtained by such sub-components may include orientation information and motion information. The orientation information may include information about which direction the body part of the user 200 faces in the 3D coordinate system. The motion information may include information about a direction or speed at which a body part of the user 200 moves in a 3D coordinate system, for example, speed information or acceleration information when the wrist or upper body of the user 200 moves in a specific direction. .

2 is a diagram illustrating a configuration of an exercise type recognition apparatus according to an embodiment of the present invention. The exercise type recognizing apparatus 100 of FIG. 2 includes an exercise detecting unit 110, a storage unit 120, a controller 130, an input unit 140, an output unit 150, and an exercise device information recognizing unit 160. can do. However, since the exercise type recognition apparatus 100 of FIG. 2 is only an embodiment of the present invention, the spirit of the present invention is not limitedly interpreted through FIG. 1.

The exercise detector 110 may acquire exercise information such as orientation information and movement information of a specific body part of the user 200. According to one embodiment of the present invention, as described above, the wrist and the torso may be preferably set as the specific body part, but the present invention is not limited thereto. In addition, as a three-dimensional coordinate system for describing the orientation information and the motion information of the user 200, well-known coordinate systems such as Cartesian coordinate, cylindrical coordinate, spherical coordinate, etc. may be used. However, it is not necessarily limited thereto.

In order to achieve the object of the present invention as described above, the exercise detection unit 110 is the wrist exercise detection unit 111 and the exercise information of the body of the user 200 to obtain the exercise information of the wrist of the user 200 It may include a torso movement detector 112 to obtain a. In order to accurately measure the exercise information, the wrist exercise detector 111 may be mounted on the wrist of the user 200, and the upper body exercise detector 112 may be mounted on the torso of the user 200. Among these, the wrist movement detecting unit 111 may be mounted only on one wrist of the user 200 or may be mounted on both wrists. The motion detector 110 may be implemented using one or more sensors such as a gravity sensor, a gyro sensor, and an acceleration sensor. Such motion information may be described in a variety of ways, but may be described, for example, with respect to the ground direction detected by the gravity sensor (eg, the z-axis perpendicular to the ground). Since a more detailed implementation manner of the motion detection unit 110 is obvious to those skilled in the art, a detailed description thereof will be omitted herein.

In some cases, the exercise detector 110 may further include an additional component that collects exercise information about other body parts other than the wrist and the torso of the user 200 as needed. An example of such other body parts is a foot. Acquiring the exercise information of the foot enables the exercise type recognition even for an exercise type such as a leg press that moves only the lower body to the wrist and the torso without any movement. Acquiring exercise information about the wrist, torso, and feet in this way enables recognition of almost all types of exercise.

On the other hand, the main body of the exercise type recognition apparatus 100 according to an embodiment of the present invention is not limited to the form of the implementation, but for the convenience of the user 200 exercising exercise wearable computer, inter alia, smart watch ( It may be implemented in a form that can be worn on the wrist of the user 200, such as a smart watch. As one example, the main body of the exercise type recognition apparatus 100 may be integrated with a general-purpose smart watch currently on the market, and in this case, some parts of the smart watch may be configured as the exercise type recognition apparatus 100. It can be used as an element. As such, when the main body of the exercise type recognition apparatus 100 is implemented to be worn on the wrist of the user 200, the wrist exercise detecting unit 111 may be integrated with the main body of the exercise type recognition apparatus 100. However, the upper body motion detector 112 may be implemented to be physically separated from the main body of the exercise type recognition apparatus 100. The detailed configuration of the motion detection unit 110 separated from the main body may be implemented with a communication module capable of communicating with the main body. The detailed configuration of the motion detection unit 110 may also be integrated with the main body. The communication module included in another configuration (eg, the controller 130) may be used to communicate with the detailed configuration of the motion detection unit 110 separated from the main body. Meanwhile, components such as the storage unit 120, the controller 130, the input unit 140, and the output unit 150 to be described below may be implemented in the main body of the exercise type recognition apparatus 100.

The storage unit 120 may store a plurality of exercise types, and store reference wrist exercise information and reference upper body exercise information corresponding to each of the exercise types. Here, the exercise type may refer to a specific specific exercise motion such as bench press, squat, deadlift, etc., and a new type of exercise motion that the user 200 has learned or created. It could be Each of these exercise types may have its own reference wrist exercise information and reference torso exercise information. For example, a squat is a type of exercise that moves up and down with the wrist obliquely upward (hereinafter, the wrist upwards) is defined as the back of the hand of the wrist facing upward, and the body moves up and down with the torso standing up. The reference wrist exercise information and the reference upper body exercise information corresponding to the squat may be determined based on the definition. In addition, when the motion detector 110 further acquires exercise information about another body part, the storage 120 may also store reference exercise information about the other body part.

Meanwhile, the reference wrist exercise information and the reference upper body exercise information corresponding to each of the exercise type and the exercise type stored in the storage 120 may be updated based on an input from the user 200. That is, the user 200 may store the new type of exercise that he or she has invented or acquired from another person in the storage unit 120 to use as a data for a new exercise. Through this function, the type of exercise that can be managed by the user 200 through the exercise type recognition apparatus 100 according to an embodiment of the present invention may be extended indefinitely.

In addition to the reference exercise information, the storage unit 120 may store data or an application program required by the exercise type recognition apparatus 100. For example, according to an exemplary embodiment of the present invention, the storage unit 120 may include a manual for providing a guide for each of the exercise types, or values of first and second reference similarities, which are standards of operation of the controller 130. Can be saved. Specifically, the storage unit 120 may be embodied as a computer readable recording medium. Examples of the computer readable recording medium may include magnetic media such as hard disks, floppy disks, and magnetic tapes, CD-ROMs, DVDs, and the like. Hardware devices specially configured to store and execute program instructions, such as optical media, magneto-optical media such as floptical disks, and flash memory. Can be.

The controller 130 may control other components of the exercise type recognition apparatus 100 so that the function targeted by the exercise type recognition apparatus 100 may be performed. As a basic function, the controller 130 may use the reference wrist exercise information and the reference upper body exercise information corresponding to each type of exercise stored in the storage 120, and the wrist exercise information and the upper body exercise information acquired by the exercise detector 110. By comparing with, it is possible to calculate the similarity for each of the exercise types. According to an embodiment, the controller 130 may perform simple living movements, whether the user 200 is actually exercising, based on the exercise information of the user 200 accumulated and accumulated for a predetermined time by the exercise detector 110. It can be distinguished by the degree of repeatability of the movement (e.g., movements of similar direction and speed repeat a certain number of times). Accordingly, the controller 130 may be set to perform the similarity calculation only when the degree of repeatability is above a certain level. For example, the controller 130 may accumulate and store wrist exercise information and upper body exercise information in the storage 120 for the predetermined time, and based on the accumulated information, wrist exercise information or upper body during the predetermined time. The exercise repetition rate may be calculated based on the degree in which the exercise information is repeatedly displayed. Such exercise repetition rate may be calculated for wrist exercise information and torso exercise information, respectively. The controller 130 may be set to perform the calculation of the similarity only when it is determined that at least one (or both) of the exercise repeatability regarding the wrist exercise information and the exercise repeatability regarding the upper body exercise information are equal to or greater than a predetermined value. Can be. Based on the result of the calculation, the controller 130 may predict an exercise type corresponding to the exercise performed by the user 200 among the exercise types stored in the storage 120. For example, the controller 130 may predict that the exercise type performed by the user 200 is the exercise type having the highest calculated similarity value. On the other hand, due to the difference in the physique of the height and the like according to the person, even if the same exercise, the distance or the radius of movement or the like that the wrist or upper body moves during the exercise may be different. In order to correct the difference in the physique, the controller 130 is input from the user 200 through the user physique information previously stored in the storage 120 or the input unit 140 to be described later regarding the physique of the user 200. User physique information is available. That is, the controller 130 corrects the reference exercise information stored in the storage unit 120 according to the physique information of the user 200 who is actually exercising based on the user physique information as described above, and thus corrected. The reference exercise information can be used to calculate the similarity. On the contrary, the controller 130 may also estimate the physique condition of the user 200 based on the exercise information acquired by the exercise detector 110.

More specific operations of the other controller 130 will be described later. The controller 130 may be implemented by a computing device including a microprocessor. In addition, the controller 130 may include a communication module for communicating with an external component of the exercise type recognition apparatus 100 or a component separated from a main body of the exercise type recognition apparatus 100.

The input unit 140 may detect an input input from the user 200 and transmit it to the controller 130. For example, the user 200 may manipulate the input unit 140 to select a specific exercise type from the exercise type prediction result output by the controller 130 through the output unit 150. The input unit 140 may be implemented through an input device such as a classic keyboard or a mouse, but may be preferably implemented through a touch sensing panel integrally formed with a touch screen display. Since a detailed implementation manner of the touch screen display including the touch sensing panel is obvious to those skilled in the art, a detailed description thereof will be omitted. In addition, the exercise type recognition apparatus 100 according to an embodiment of the present invention may include components such as a voice recognition device such as a button or a microphone that can be operated through a physical operation such as pressing or touching, in addition to the touch sensing panel. It may be provided as part of the input unit 140.

The output unit 150 may output specific information in a form that the user 200 can recognize under the control of the controller 130. The specific information may be, for example, the result of the exercise type prediction generated by the controller 130. The output unit 150 may include a display device such as a liquid crystal display (LCD) or an organic light emitting diode (OLED), a sound output device such as a speaker, or a vibration generator. More preferably, the output unit 150 may include a touch screen type display which is integrated with a touch sensing panel which functions as the input unit 140 as described above. In addition, the sports equipment information recognition part 160 is mentioned later.

3 is a diagram illustrating a sequence of an exercise type recognition method performed by an exercise type recognition apparatus according to an embodiment of the present invention. Referring to FIG. 3, each step of the method for recognizing an exercise type according to an exemplary embodiment of the present invention will be described below. A description of the overlapping parts with FIGS. 1 and 2 may be omitted. In addition, the following steps are not necessarily performed in order, of course, the order may be changed as necessary.

First, wrist exercise information including wrist orientation information and movement information of the wrist of the user 200 may be obtained using the wrist exercise detector 111 of the exercise detector 110 (S110). In addition, the upper body exercise information including the orientation information and the movement information of the torso of the user 200 may be obtained using the upper body exercise sensor 112 of the exercise sensor 110 (S120).

Next, the controller 130 uses a plurality of exercise types stored in the storage 120 in advance, and reference wrist exercise information and reference upper body exercise information corresponding to each of the exercise types, respectively. Similarity calculation with the exercise performed by 200 may be performed (S130). Here, the reference wrist exercise information includes reference wrist orientation information and reference wrist movement information, and the reference torso exercise information may include reference torso orientation information and reference torso movement information as described above.

More specifically, the similarity calculation is as follows. For example, it is assumed that the aforementioned bench press, squat, and dead lift are stored in the storage unit 120 as an exercise type. When the exercise detecting unit 110 obtains the exercise information of the user 200, the controller 130 firstly stores the reference wrist orientation information and the reference wrist movement information stored in correspondence with the bench press, and the wrist orientation information of the user 200 obtained. And comparing the wrist movement information with the wrist movement information, respectively, to calculate the similarity of the wrist movement information with respect to the bench press. In addition, the controller 130 compares the upper body orientation information and the upper body movement information of the obtained user 200 with the reference torso orientation information and the reference torso movement information stored in correspondence with the bench press, respectively. The similarity of can be calculated. This operation can be performed for squats and dead lifts other than bench presses.

After the operation as described above is performed, the controller 130 may calculate a comprehensive similarity from the similarity of the wrist exercise information and the similarity of the upper body exercise information for each exercise type. The overall similarity may be obtained by taking a simple average of the two similarities, but other methods such as obtaining a weighted average by applying different weights to the two similarities may be used. In addition, when motion information about other body parts, such as a foot other than the wrist and the torso, is acquired, the same operation may be performed on the other body parts as well as the wrist and the torso. However, hereinafter, it will be assumed on the assumption that only the exercise information of the wrist and torso obtained for convenience.

When the similarity calculation is completed, the controller 130 may predict which exercise type currently performed by the user 200 corresponds to any of the exercise types stored in the storage 120 (S140). As a result of this prediction, the controller 130 may arrange each type of exercise stored in the storage 120 in the order of comprehensive similarity magnitude. The result of such an alignment may be provided to the user 200 via the output unit 150, and there is no limit to the aspect of the provision. For example, the controller 130 may provide all the types of exercise stored in the storage 120 to the user 200 by arranging them in the order of the comprehensive similarity size, but only the types of the workout having the total similarity size greater than or equal to a predetermined value in the order of the overall similarity size You can also provide Alternatively, the controller 130 may provide the user 200 with only a predetermined number of exercise types (eg, the top three exercise types of the comprehensive similarity size).

4A to 4F are views for explaining a specific operation aspect of the exercise type recognition apparatus according to an embodiment of the present invention. That is, FIGS. 4A to 4F are for illustratively showing that the type of exercise performed by the user 200 can be effectively predicted by obtaining exercise information of the wrist and the torso.

Referring to FIG. 4A, it can be seen that the wrist of the user 200 is moving up and down while facing upward at an angle with respect to the ground. In addition, it can be seen that the torso of the user 200 is moving up and down in the same path and speed as the wrist in an upright state. This movement can be defined as squats.

In addition, referring to FIG. 4B, the wrist of the user 200 is obliquely upward with respect to the ground as in the case of FIG. 4A. However, unlike FIG. 4A, the wrist shows a diagonal movement rather than an up and down movement. have. In addition, the torso of the user 200 is also standing up as in the case of FIG. 4A, but the movement is similar to the wrist. This motion may be defined as a lunge. That is, squats and lunges having the same orientation of the wrist and torso may be distinguished by differences in movement.

Meanwhile, referring to FIG. 4C, the body of the user 200 does not move while standing, and the wrist repeats an operation of drawing a quadrant around the shoulder, and the direction of the wrist is vertical in the horizontal direction every time the quadrant is reciprocated once. Direction, gradually changing from the vertical direction to the horizontal direction again. This motion can be defined as a side lateral raise.

In addition, referring to FIG. 4D, the exercise shown in (A) and (B) of FIG. 4D and the exercise shown in (C) and (D) have the same wrist movement information, but the orientation of the torso is correct. It can be seen that the torso is rotated by an angle of 90 degrees or more based on the posture, and is different from the posture of lying down and the angle of lying down by 90 degrees or less. A typical bench press is performed with the torso lying parallel to the ground, but with the orientation information of the torso, the exercise shown in (A) and (B) and the exercise shown in (C) and (D) are respectively bench It can be seen that these are the special types of presses: the decline bench press and the incline bench press.

Next, referring to FIG. 4E, the movements shown in (A) and (B) of FIG. 4E and the movements shown in (C) and (D) have the same movement information of the torso and the orientation of the wrist during the exercise. The same is true for the change of, but the size of the trajectory of the wrist movement is different. That is, when storing reference wrist movement information of the exercise types in the storage unit 120, in the case of (A) and (B), the radius of the trajectory of the movement of the wrist is the elbow length of the ordinary person, (C), In the case of (D), each person can store the full length of the arm.

Finally, referring to FIG. 4F, the movements shown in (A) and (B) of FIG. 4F and the movements shown in (C) and (D) are all the same in that the body does not move with the body standing up. In addition, the changes in the trajectory and the orientation that the wrist draws during the exercise process are also very similar to each other. However, using the principle of general movement can distinguish between the two. In weight training, the rule is to move quickly when moving in the direction of force, and slow when moving in the opposite direction. 4F (A) and (B), the force enters when the wrist moves downward, and the reference wrist movement information may be defined as moving quickly when the wrist moves downward and slowly when moving upward. On the contrary, in the case of FIGS. 4F and 4D, when the wrist moves upward, the force enters, and the reference wrist movement information may be defined as moving quickly when the wrist moves up and slowly when moving downward. 4D to 4F, it can be seen that according to an embodiment of the present invention, it is possible to recognize even a detailed exercise type through orientation and movement information of the wrist and torso.

5 is a view for explaining a function for recognizing a patterned exercise among the functions of the exercise type recognition apparatus according to an embodiment of the present invention. FIG. 5 relates to a type of grouping, which shows that a plurality of exercise types can be stored in the storage 120 as one patterned exercise type. The exercise of FIG. 5 is an exercise called a burpee test, which is a patterned exercise type that combines two types of exercise, push-up and jumping squat, to the storage 120. Can be stored. That is, the controller 130 may recognize that the user 200 has performed the buffy test when it is determined that the user 200 performs the squatting immediately after the push-up. Of course, the controller 130 may provide both the buffy test and the squat as a result of the exercise type prediction to the user 200 who has performed the squat right after the push-up, and provides a single patterned exercise type according to the option. It can also be predicted as a higher priority than exercise type.

Referring back to FIG. 3, as described above, the controller 130 may provide the user 200 with a result of predicting which type of exercise the exercise performed by the user 200 corresponds to. . Here, the user 200 may select, via the input unit 140, the type of exercise that he / she actually performs among the types of exercise predicted by the controller 130. This selection corresponds to determining an exercise type currently performed by the user 200, and the determination may be arbitrarily performed by the controller 130 without depending on the input of the user 200. For example, the controller 130 may determine the exercise type having the highest overall similarity among the prediction results as the exercise performed by the user 200.

By the above example, when the control unit 130 predicts the decline bench press, the general bench press, and the incline bench press in the order of high similarity, the user 200 selects the decline bench press to read the control unit 130. You can see that this was correct. Alternatively, the user 200 may think that he or she actually intended a general bench press and select the general bench press with a lower overall similarity to determine the type of exercise he performs as a general bench press. However, in this case, the user 200 may be interpreted as exercising in an inclined state too much as a general bench press, and the controller 130 may read a manual of the general bench press stored in the storage unit 120. Providing to the user 200 can perform the exercise correction function to induce the user to perform the normal bench press correctly. Alternatively, the controller 130 may recommend to the user 200 that the user 200 perform a selection operation again with the declining bench press, which is the most similar exercise type determined by the controller 130.

More specifically, for example, the controller 130 may have a similarity of wrist exercise information or upper body exercise information with respect to the exercise type determined as the exercise performed by the user 200 being less than the predetermined first reference similarity and the predetermined second reference similarity. In a case where the first reference similarity is higher than the second reference similarity, the exercise correction function may be performed as described above. In this case, the controller 130 may output the predetermined notification through the output unit 150 together with the performance of the exercise correction function so that the user 200 may immediately know that his or her exercise is wrong. The predetermined notification may be a visual notification such as a warning phrase, an audible notification such as a warning sound, or may be a tactile notification such as a vibration. As a criterion of the similarity determination, the similarity of the wrist exercise information or the similarity of the upper body exercise information may be used as described above, but the overall similarity may be used.

6 is a view for explaining the exercise correction function of the function of the exercise type recognition apparatus according to an embodiment of the present invention. Figure 6 (A) shows how to correctly lift the dumbbell (dumbbell), it can be seen that the wrist with the dumbbell should be moved in the vertical direction. On the contrary, FIG. 6B shows an incorrect posture of moving a wrist holding a dumbbell obliquely upward. When the user 200 is in the wrong posture as shown in FIG. 6B, the controller 130 may guide the user 200 to take the correct posture through the exercise correction function based on the low calculated similarity. have.

However, it is necessary to determine whether the user 200 is exercising in the wrong way or intentionally switched to another exercise. As such a determination method, the controller 130 may determine that the exercise is not wrong but a change of exercise is performed when the similarity with respect to the determined exercise type is very low and falls below the second reference similarity. Indeed, when a user switches between types of exercise, it is common to have some pause between exercise and exercise (ie, time to rest or move to another exercise device). The motion seen by the user during this period of time is unlikely to be similar to any exercise type, when the user 200 exhibits an extremely low similarity (less than the second reference similarity, as shown above) with the determined exercise type. The controller 130 determines that the user is in the resting period, and may stop the prediction operation until the motion type having the second reference similarity or higher is detected. When the motion type having the second reference similarity or higher is detected, the controller 130 newly performs the prediction and determination operation. can do. For more accurate operation, the controller 130 may determine that the user 200 is at rest when the period in which the similarity falls below the second reference similarity is maintained for more than a predetermined time. Alternatively, the user 200 may inform the controller 130 that he / she wants to switch exercise by using an input through the input unit 140, for example, pressing a specific button.

According to an embodiment, the controller 130 determines that the movement is inconsistent, even if the similarity falls below the second reference similarity, and the similarity returns to the first reference similarity again or more (specifically, the similarity If a change occurs more than a predetermined number of times a predetermined change amount), it may be determined that the exercise was performed incorrectly, and the exercise correction function may be executed. Alternatively, although it was recognized that the similarity was converted to another exercise by falling below the second reference similarity, the motion detected after the recognition may not be similar to any of the types of exercise stored in the device. In this case, the user 200 may directly store the motion detected after the recognition as a new exercise type in the storage 120 through the input unit 140.

In addition, the controller 130 scores the exercise target achievement rate of the user 200 based on the high similarity of the exercise of the user 200 or whether the plurality of exercise types are accurately followed in a predetermined order. ) The user 200 may know how faithfully the user is through the exercise goal achievement rate.

Based on the functions as described above, the exercise type recognition apparatus 100 according to an embodiment of the present invention may perform an exercise management function for the user 200. In detail, the controller 130 may record information, such as the type, order, and number of exercises, performed by the user 200 at a specific date and time, in the storage 120. In addition, the controller 130 may record how correctly the exercise of the user 200 is performed based on information such as similarity, to the storage 120. In addition, the user 200 may store an exercise plan according to a date and time (eg, 15 squats after 12 push-ups) in the storage 120 in advance. In this case, the controller 130 may present the exercise plan to the user 200 at the corresponding date and time, and during the exercise of the user 200, what exercise type should be performed several times as the next exercise according to the exercise plan. (For example, the user 200 who performed 13 push-ups may be informed that 2 push-ups and 12 squats are left).

On the other hand, the guidance according to the exercise routine may be made based on the prediction and determination of the controller 130, regardless of the specific date and time. That is, when the exercise type determined as the exercise performed by the user 200 belongs to a specific exercise routine, or when the user 200 selects a specific exercise routine and exercises, the user 200 It may be determined whether the exercise type currently performed is continuously performed a predetermined number of times in the exercise routine, and if it is determined that the continuous execution is completed, the user 200 may be informed of the exercise type which is the next order in the exercise routine. By comparing the exercise performed by the user 200 with the stored exercise routine as described above, even if there are two exercises that are difficult to distinguish due to similar movements of the wrist and / or torso, the user 200 infers what exercise to perform. By doing so, the function of the present invention can be complemented. In addition, the exercise type recognition apparatus 100 according to an embodiment of the present invention may perform all of the general functions of the exercise scheduler which are currently widely used.

As described above, according to one embodiment of the present invention, it is possible to accurately determine the type of exercise performed by the user 200 with only a small number of sensor devices. In addition, according to one embodiment of the present invention, the exercise correction function, a user-defined exercise type generation function, and the like may be additionally provided to the user 200, so that convenience and utility may be further improved.

Meanwhile, in addition to the above-described exercise type recognition and management function, the exercise type recognition apparatus 100 according to an embodiment of the present invention may also perform exercise device information recognition function through communication with an exercise device or a device. Hereinafter, these additional functions will be described.

7A to 7C are views for explaining an exercise device information recognition function according to an embodiment of the present invention. It is common to have a plurality of discs of a certain unit weight in an exercise device for weight training. For example, assuming that there is a weight training machine (weight training machine, 300) to adjust the weight with a 5kg disk as shown in Figure 7a, the user 200 of the machine 300, if you want to lift 30kg machine 300 The fixing pin 311 may be inserted into the sixth disk from among the plurality of disks 310 included therein. Then, the sixth disk into which the fixing pin 311 is inserted and the first to fifth disks thereon, that is, a total of six disks having a weight of 30 kg may be used for the exercise of the user 200.

In this case, as shown in FIG. 7B, a component of an exercise device such as the fixing pin 311 may be mounted and used as an exercise device information recognizing device including a pressure sensor and an acceleration sensor. The exercise device information recognizing apparatus may be a component of the exercise type recognizing apparatus 100 as the exercise device information recognizing unit 160. The exercise device information recognizing unit 160 may be implemented in proximity to the exercise device used by the user 200 while being physically separated from the main body of the exercise type recognizing apparatus 100, and the exercise type recognizing apparatus 100. It may include a communication module for communicating with the main body of the. The controller 130 may receive information acquired by the exercise apparatus information recognizing unit 160 through wireless communication.

The exercise type recognizing apparatus 100 may automatically determine how much weight the user 200 has exercised based on the weight information acquired by the pressure sensor in the exercise apparatus information recognizing unit 160. In more detail by using the examples of the disk 310 and the fixing pin 311, as the number of the disk 310 that the user 200 uses for exercise increases, the load on the fixing pin 311 Is increased in proportion thereto, and such a load may be detected by a pressure sensor in the exercise device information recognizing unit 160 mounted on the fixing pin 311. However, since the weight information acquired by the pressure sensor becomes inaccurate due to the inertia force when the disk 310 performs the acceleration movement, the size and the size obtained by the acceleration sensor in the exercise device information recognition unit 160 are corrected. Acceleration information including information about the direction can be used. In addition, the exercise device information recognizing unit 160 may also include a storage module for storing information regarding the type of the exercise device on which the exercise device information recognizing unit 160 is installed. The controller 130 may transmit to the controller 130 through wireless communication. Then, the controller 130 may automatically know what weight the exercise is performed by the user 200, and may perform an exercise management function for the user 200 based on the weight.

Unlike the above, for a sports device having a relatively simple structure such as a dumbbell having no weight adjustment function using a disk, as shown in FIG. 7C, a small device having a pressure sensor or an acceleration sensor and having a communication function includes the exercise device information recognition unit 160. It can be attached to the exercise device 400 as. Then, the device corresponding to the exercise device information recognizing unit 160 may know that the user 200 is exercising with the exercise device 400 through a sensor, and the type and weight of the exercise device 400 may be determined. Information to be included may be transmitted to the controller 130. As described above, the information obtained from the exercise apparatus information recognizing unit 160 may supplement information obtained by other components of the exercise type recognizing apparatus 100. For example, when the controller 130 detects that the user is performing the bench press through the exercise detecting unit 110, the controller 130 and the barbell that the user 200 uses for the bench press from the exercise device information recognizing unit 160. Information such as the type and weight of the exercise device, the speed and acceleration during the exercise can be received from the same exercise device. In this case, the speed information and the acceleration information may include size information and direction information, respectively. The controller 130 may store the information related to the exercise of the user 200 obtained by the exercise detector 110 and the exercise device information recognizer 160 in the storage 120.

The communication function with the exercise device or the apparatus as described above can be easily implemented by adding only the sensor and the communication module to the exercise device or the apparatus that has been previously provided in the gym. The information obtained by this function may be shared by the user 200 and the gym of the exercise type recognition apparatus 100 through wireless communication. At this time, the health club can easily manage the exercise information of the members by managing a system including an exercise device and apparatus having a communication function, and an exercise type recognition device 100 possessed by each of the gym members through a network. Become.

More specifically, the information obtained by the exercise sensor 110 and the exercise equipment information recognizing unit 160 is integrated data as a daily / hourly exercise record of the user by the exercise type recognizing apparatus 100, and the exercise type recognizing apparatus The integrated data stored in the storage unit 120 of FIG. 100 may be transmitted to a specific device (eg, another device such as a server, a computer, or a smartphone) through various communication methods such as LTE (long term evolution) or wifi. have. In addition, the exercise type recognition apparatus 100 of the user may receive data such as a next exercise plan or exercise posture from the specific device.

Combinations of each block of the block diagrams and respective steps of the flowcharts attached to the present invention may be performed by computer program instructions. These computer program instructions may be mounted on a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment such that instructions executed through the processor of the computer or other programmable data processing equipment may not be included in each block or flowchart of the block diagram. It will create means for performing the functions described in each step. These computer program instructions may be stored in a computer usable or computer readable memory that can be directed to a computer or other programmable data processing equipment to implement functionality in a particular manner, and thus the computer usable or computer readable memory. It is also possible for the instructions stored in to produce an article of manufacture containing instruction means for performing the functions described in each block or flowchart of each step of the block diagram. Computer program instructions may also be mounted on a computer or other programmable data processing equipment, such that a series of operating steps may be performed on the computer or other programmable data processing equipment to create a computer-implemented process to create a computer or other programmable data. Instructions that perform processing equipment may also provide steps for performing the functions described in each block of the block diagram and in each step of the flowchart.

In addition, each block or each step may represent a portion of a module, segment or code comprising a plurality of executable instructions for executing a specified logical function (s). It should also be noted that in some alternative embodiments, the functions noted in the blocks or steps may occur out of order. For example, the two blocks or steps shown in succession may in fact be executed substantially concurrently or the blocks or steps may sometimes be performed in the reverse order, depending on the functionality involved.

The above description is merely illustrative of the technical idea of the present invention, and those skilled in the art to which the present invention pertains may make various modifications and changes without departing from the essential quality of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted by the following claims, and all technical ideas that fall within the scope of equivalents should be construed as being included in the scope of the present invention.

100: movement type recognition device
110: motion detection unit
120: storage unit
130: control unit
140: input unit
150: output unit
160: exercise equipment information recognition unit

Claims (18)

delete delete delete delete delete delete An information acquisition unit installed in an exercise device used for an exercise performed by a user and generating exercise device information including weight information of a portion of the exercise device moved by a force applied by the user; And
An information processor configured to generate user exercise information including time series information on the use of the exercise machine by the user based on the exercise machine information;
The information acquisition unit,
And a pressure sensor measuring a pressure applied by the moving part by the force applied by the user, and an acceleration sensor measuring the acceleration of the moving part by the force applied by the user, wherein the value of the pressure measured by the pressure sensor is measured. Generating the weight information based on a result of the correction using the acceleration value measured by the acceleration sensor.
Exercise Information Management Device. delete delete delete delete delete delete delete A first step of generating exercise equipment information including weight information of a portion of the exercise equipment that is moved by a force applied by the user, using an information obtaining unit installed in the exercise equipment used for the exercise performed by the user; And
A second step of generating, based on the exercise equipment information, user exercise information including time series information about the use of the exercise apparatus by the user,
The information acquisition unit,
It includes a pressure sensor for measuring the pressure applied by the moving portion by the force applied by the user and an acceleration sensor for measuring the acceleration of the moving portion by the force applied by the user,
The first step includes generating the weight information based on a result of correcting the value of the pressure measured by the pressure sensor using the value of the acceleration measured by the acceleration sensor.
How to manage exercise information. delete A program stored in a computer-readable recording medium, performing each step according to the method of claim 15. A computer-readable recording medium having recorded thereon a program comprising instructions for performing each step according to the method of claim 15.

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