KR102342023B1 - Rest method recommendation device, customized sports coaching system and method using the same - Google Patents

Abstract

The present invention provides a customized sports coaching system which stores event information prepared to be performed by a user, to output the event information matching physical and psychological characteristics input from the user; and generates the user's exercise state information by analyzing the user's exercise motion and stores rest information prepared to be performed by the user, to out the rest information matching the exercise state information.

Description

A device for recommending a relaxation method, and a customized sports coaching system and method using the same

The present invention relates to a relaxation method recommendation apparatus, a customized sports coaching system and method using the same, and more particularly, to a relaxation method recommendation apparatus for providing an exercise or relaxation method suitable for a user, and a customized sports coaching system and method using the same will be.

Conventionally, as a method for coaching a user on a sports activity, it is generally provided for the user to watch and follow a prepared image. In addition, the user may repeatedly watch a scene in which a professional player succeeds in the corresponding motion in an actual sports game in order to learn a specific motion of the sport.

However, in this method, the user or an educator coaching the user directly checks and corrects the user's motion while repeating a specific motion, which is the educator's habits or characteristics, or There is a disadvantage in that the user acquires an inaccurate motion according to the exercise ability.

Moreover, in this method, the user takes a break only by the intuition of the educator or the user with respect to the break taken in the process of performing the exercise, which has a disadvantage in that it acts as a disadvantage to more efficient exercise ability improvement.

Accordingly, there is a need for a method of providing a sport suitable for the user's exercise level and providing a suitable resting method according to the fatigue accumulated by the user performing the exercise.

The technical problem to be solved by the present invention is to provide an exercise suitable for user characteristics, a rest method recommendation device that provides a suitable rest method according to the user's fatigue level, and a customized sports coaching system and method using the same.

According to an aspect of the present invention, there is provided an exercise recommendation apparatus for storing a plurality of event information provided to be performed by a user, extracting event information matching the physical and psychological characteristics input from the user, and outputting the event information; and recognizing the user's exercise motion based on the event information, analyzing the exercise motion to generate the user's exercise state information, and storing a plurality of rest information provided to be performed by the user is stored in the exercise state information A rest method recommendation device for extracting and outputting matching rest information may be included.

In addition, the exercise recommendation apparatus may further receive, from the user, prior activity information indicating an activity performed by the user in advance and nutrition intake information indicating nutrition of the food consumed by the user in advance.

In addition, the exercise recommending device receives the exercise state information from the resting method recommendation device and applies the exercise state information to the physical characteristics and the psychological characteristics input by the user to change the physical characteristics and the psychological characteristics, , it is possible to extract event information matching the changed physical characteristics and the changed psychological characteristics.

In addition, when the event information indicates anaerobic activity, the apparatus for recommending a rest method sets the anaerobic weight to be lower as the movement speed determined from the user's exercise motion is faster, and as the movement speed determined from the user's exercise motion is lower, Anaerobic weights can be set large.

In addition, when the event information indicates aerobic activity, the resting method recommendation device sets a higher aerobic weight as the movement speed determined from the user's exercise motion increases, and sets the aerobic weight higher as the movement speed determined from the user's exercise motion decreases. You can set the aerobic weight low.

In addition, the resting method recommendation device applies a repetition weight to the exercise motion according to the item information, and when it is determined that the user's exercise motion is the exercise motion according to the item information, the exercise motion according to the item information is repeated. Each time the iteration weights can be superimposed.

Also, the apparatus for recommending a resting method may receive the physical characteristics and psychological characteristics, and determine a basic weight according to the physical characteristics and psychological characteristics.

Another aspect of the present invention, one or more sensors are provided, the motion sensor unit for recognizing the user's motion; a rest control unit that analyzes the exercise motion to generate exercise state information of the user and extracts rest information matching the exercise state information; and a rest output unit for outputting rest information extracted from the rest control unit.

Another aspect of the present invention provides a customized sports coaching method in a customized sports coaching system, the method comprising: receiving, in an exercise recommendation device, physical characteristics and psychological characteristics from a user; a step of storing, in an exercise recommendation apparatus, a plurality of event information provided to be performed by a user, extracting event information matching the physical and psychological characteristics input from the user, and outputting the event information; Recognizing a user's exercise motion based on the event information in the rest method recommendation device; generating exercise state information of a user by analyzing the exercise motion in the resting method recommendation apparatus; and storing a plurality of pieces of rest information provided to be performed by the user in the rest method recommendation apparatus, extracting and outputting rest information matching the exercise state information.

In addition, the step of receiving the input of the physical and psychological characteristics may further receive input from the user, prior activity information indicating an activity performed by the user in advance, and nutrition intake information indicating the nutrition of the food consumed by the user in advance.

In addition, the step of outputting the event information may include receiving the exercise state information from the resting method recommendation device and applying the exercise state information to the physical characteristics and the psychological characteristics input by the user to obtain the physical characteristics and the psychological characteristics. may be changed, and event information matching the changed physical characteristics and the changed psychological characteristics may be extracted.

In addition, in the step of generating the exercise state information of the user, when the event information indicates anaerobic activity, the faster the movement speed determined from the user's exercise motion, the lower the anaerobic weight is set, and the anaerobic weight is set lower than the user's exercise motion The lower the movement speed, the larger the anaerobic weight can be set.

In addition, in the step of generating the exercise state information of the user, when the event information indicates an aerobic activity, the faster the movement speed determined from the user's exercise motion, the higher the aerobic weight is set, and the aerobic weight determined from the user's exercise motion. The lower the movement speed, the lower the aerobic weight can be set.

In addition, the generating of the user's exercise state information may include assigning a repetition weight to the exercise motion according to the item information, and when it is determined that the user's exercise motion is an exercise motion according to the item information, Each time the exercise motion is repeated, the repetition weights may be overlapped.

In addition, the generating of the user's exercise state information may include receiving the physical characteristics and psychological characteristics, and determining a basic weight according to the physical characteristics and psychological characteristics.

According to one aspect of the present invention described above, by providing a relaxation method recommendation device and a customized sports coaching system and method using the same, it is possible to provide an exercise suitable for a user's characteristics and a suitable relaxation method according to the user's fatigue level .

1 is a schematic diagram of a customized sports coaching system according to an embodiment of the present invention.
FIG. 2 is a control block diagram of the exercise recommendation apparatus of FIG. 1 .
3 is a control block diagram of an apparatus for recommending a rest method according to an embodiment of the present invention.
4 is a block diagram illustrating a process of extracting item information from the item control unit of FIG. 2 .
5 is a block diagram illustrating a process of extracting rest information from the rest control unit of FIG. 3 .
6 is a flowchart of a customized sports coaching method according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0012] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0010] Reference is made to the accompanying drawings, which show by way of illustration specific embodiments in which the present invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein with respect to one embodiment may be implemented in other embodiments without departing from the spirit and scope of the invention. In addition, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the present invention. Accordingly, the detailed description set forth below is not intended to be taken in a limiting sense, and the scope of the present invention, if properly described, is limited only by the appended claims, along with all scope equivalents as those claimed. Like reference numerals in the drawings refer to the same or similar functions throughout the various aspects.

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

1 is a schematic diagram of a customized sports coaching system according to an embodiment of the present invention.

The customized sports coaching system 1 may recommend an exercise item suitable for the user's physical condition, and the customized sports coaching system 1 may output the recommended exercise item so that the user can recognize it. In this case, the customized sports coaching system 1 may output an image or an image prepared in advance according to the recommended sports event.

Accordingly, the customized sports coaching system 1 may recognize the user's motion following the output image or the video, and in this case, the customized sports coaching system 1 analyzes the recognized user's motion, The accumulated fatigue level of the user may be determined according to the physical condition and the user's motion, and the customized sports coaching system 1 may provide a relaxation method suitable for the user's physical condition and the user's fatigue level. In this case, the customized sports coaching system 1 may output an image or an image prepared in advance according to the provided relaxation method.

As such, the customized sports coaching system 1 may have an effect of providing a suitable exercise method according to the characteristics of the user and providing a suitable resting method according to the amount of exercise performed by the user.

To this end, the customized sports coaching system 1 may include the exercise recommendation apparatus 100 and the relaxation method recommendation apparatus 200 .

In addition, the customized sports coaching system 1 may be implemented by more components than the components shown in FIG. 1 , and may be implemented by fewer components. Alternatively, in the customized sports coaching system 1 , at least two components provided in the customized sports coaching system 1 may be integrated into one component, and one component may perform a complex function.

The exercise recommendation apparatus 100 may store a plurality of event information provided to be performed by the user, and the exercise recommendation apparatus 100 extracts event information matching the physical and psychological characteristics input from the user, information can be printed.

Here, the event information may refer to the type of exercise motion prepared to be performed by the user. For example, the event information may include open arms jumping, a plank, a squat, a crunch, and a lunge ( Lunge) and the like may be included.

In addition, the event information may include different types of exercise according to the type of exercise set in advance for the exercise recommendation apparatus 100 , for example, the event information is preset for the exercise recommendation apparatus 100 . When the type of exercise is basketball, it may include motions such as dribble, shooting, pivot, and hand check. Also, when the exercise type preset for the exercise recommendation apparatus 100 is ballet, the event information may include basic motions of different ballet and motions such as different foot positions.

In addition, the event information may include a repeated operation in which a random operation is repeated, and the stock information may include a connection operation in which different arbitrary operations are prepared according to a preset order.

Meanwhile, the event information may include an image or image indicating a shape in which the event information is performed by professional players or characters having different physical characteristics or different psychological characteristics for the same motion.

Accordingly, the exercise recommendation apparatus 100 may store one or more images or images matching the same event information.

In addition, the body characteristics may include information such as the user's age, height, weight, body type, and body fat, and the body characteristics may further include information indicating flexibility such as the user's maximum shoulder rotation angle and maximum leg tear angle. In addition, the body characteristics may further include abnormal parts such as ankles, shoulders, necks, and wrists.

In addition, the psychological characteristics may be information provided to determine the user's psychological factors, and accordingly, the psychological characteristics may include information such as the user's psychological anxiety level, drug use history, caffeine intake, and the like. To this end, the exercise recommendation apparatus 100 may output one or more options to determine the user's psychological characteristics, and the exercise recommendation apparatus 100 may collect information input from the user based on the output options. have. Accordingly, the exercise recommendation apparatus 100 may determine the user's psychological characteristics according to the collected information.

For example, the exercise recommendation apparatus 100 may be provided to perform a psychological test or a personality test to determine the user's psychology or personality based on the user's answers to a plurality of fingerprints prepared in advance.

Through this, the exercise recommendation apparatus 100 may recommend item information most suitable to the user's physical and psychological characteristics from among item information prepared in advance to the user.

To this end, the exercise recommendation apparatus 100 may store at least one of physical characteristics, psychological characteristics, and event information. In addition, the exercise recommendation apparatus 100 may provide a separate database device to store at least one of physical characteristics, psychological characteristics, and event information. In this case, the separately provided database device may include physical characteristics and psychological characteristics It may be stored so that the item information is matched.

Accordingly, the exercise recommendation apparatus 100 may extract event information matching the physical and psychological characteristics input from the user, and output the extracted event information.

In this regard, the exercise recommendation apparatus 100 may include an input device such as a keyboard, a mouse, or a remote control, and the exercise recommendation apparatus 100 receives a body message from the user through the input device. Characteristics or psychological characteristics may be input.

In this case, the exercise recommendation apparatus 100 may include an output device such as a TV (Television) or a monitor, and the exercise recommendation apparatus 100 selects an arbitrary selection button among a plurality of selection buttons output from the output device. Input can be received through an input device.

For example, the exercise recommendation apparatus 100 may output a male button and a female button through an output device to receive a gender input from the user. Accordingly, in the exercise recommendation apparatus 100, one of a male button or a female button may be selected from the user through the input device, and then, the exercise recommendation apparatus 100 receives the height, weight, exercise history, etc. from the user. A plurality of selection buttons may be output through an output device to be selected.

Meanwhile, the exercise recommendation apparatus 100 may be provided to receive identification information from a user. In this case, the exercise recommendation apparatus 100 may further include a recording device such as a camera or a voice input device such as a microphone.

Accordingly, the exercise recommendation apparatus 100 may generate a facial image by photographing the user's face through a photographing device. In this case, the exercise recommending apparatus 100 may extract one or more feature points from the user's face appearing from the facial image, and the exercise recommending apparatus 100 may determine the position of one or more feature points, a difference in position with other feature points, and the like. By determining, it may be provided to distinguish faces of different users.

For example, the feature point may include points of the user's face, such as an eyebrow start point, an eye head point, an eye tail point, a cheek protrusion point, both ends of the lips, an upper lip point, a lower lip point, and a center point of the chin. .

Here, the exercise recommendation apparatus 100 may store information on the face classified for an arbitrary user, and accordingly, the exercise recommendation apparatus 100 analyzes the user's facial image and analyzes the stored feature points. The same feature points as the extracted feature points may be extracted from the user's face, and through this, the exercise recommendation apparatus 100 may recognize the user according to the extracted feature points.

In this case, the exercise recommendation apparatus 100 may store physical characteristics and psychological characteristics input from the corresponding user to match the user identified through the facial image, and through this, the exercise recommendation apparatus 100 allows any user to It may be provided so that event information is extracted according to input or performed arbitrary information.

Also, the exercise recommendation apparatus 100 may receive a user's voice through a voice input device and generate voice information. In this case, the exercise recommendation apparatus 100 may extract one or more pattern information from the user's voice pattern appearing from the voice information, and the exercise recommendation apparatus 100 distinguishes the voices of different users according to the one or more pattern information. can be provided.

For example, the pattern information may include information such as a frequency of a user's voice, a noise pattern, a voice pattern for each frequency band, and an amplitude pattern.

Here, the exercise recommendation apparatus 100 may store information on a voice divided for an arbitrary user, and accordingly, the exercise recommendation apparatus 100 analyzes the user's voice information and analyzes the voice information analyzed among the stored voice information. The same voice information as the extracted voice information may be extracted from the user's voice, and through this, the exercise recommendation apparatus 100 may recognize the user according to the extracted voice information.

In this case, the exercise recommendation apparatus 100 may store physical characteristics and psychological characteristics input from the corresponding user so as to match the user identified through voice information, and through this, the exercise recommendation apparatus 100 allows any user to It may be provided so that event information is extracted according to input or performed arbitrary information.

As such, the exercise recommendation apparatus 100 may perform user recognition by recognizing the user's face or voice, and through this, the exercise recommendation apparatus 100 may provide a history input or performed by the recognized user in the past. can be arranged to use.

Hereinafter, the exercise recommendation apparatus 100 for extracting event information matching the user's physical and psychological characteristics will be described in more detail.

The relaxation method recommendation apparatus 200 may recognize a user's exercise motion based on event information, and the rest method recommendation apparatus 200 may analyze the exercise motion to generate the user's exercise state information, and recommend a rest method The device 200 may store a plurality of rest information provided to be performed by the user, and extract and output rest information matching the exercise state information.

Here, the user's exercise motion may mean a user's motion following the event information output from the exercise recommendation apparatus 100 according to the event information. may include devices. Accordingly, the photographing device may generate image information by photographing the user's whole body.

In this case, the resting method recommendation apparatus 200 may extract the user's shape from the image information, and the resting method recommending apparatus 200 may determine the user's exercise motion according to the change in the user's shape.

For example, when the user's shape shown in the image information is changed from a long rectangular shape to a short rectangular shape, the resting method recommendation apparatus 200 performs an exercise motion in which the user changes from a standing state to a sitting state. can be considered drunk.

In this regard, the resting method recommendation apparatus 200 may determine the exercise motion of the user by using one or more sensors mounted on the user's body or provided to be carried.

For example, the resting method recommendation apparatus 200 may include a rod-shaped sensor provided to be held by a user in both hands, and in this case, the rod-shaped sensor may include a gyro sensor or an acceleration sensor. In addition, the rod-shaped sensor may use a rotary encoder that converts an angle, rotation amount, and rotation speed into a digital format, or a load cell that outputs power proportional to an applied load.

Accordingly, the resting method recommendation apparatus 200 may determine a path in which the rod-shaped sensor moves or rotates by the user, and through this, the resting method recommendation apparatus 200 enables the user to perform strength exercise while holding a dumbbell. It may be provided so as to determine the movement motion.

In addition, the resting method recommendation apparatus 200 may include a sensor provided to be attached to or mounted on the user's waist or both legs. In this case, the sensor may include an acceleration sensor or a gyro sensor. In addition, the sensor may use a rotary encoder that converts an angle, rotation amount, and rotation speed into a digital format, or a load cell that outputs power proportional to an applied load.

Accordingly, the resting method recommendation apparatus 200 may determine the path in which the sensor moves or rotates by the user, and through this, the resting method recommendation apparatus 200 performs squat, It may be provided to determine an exercise motion for performing a strength exercise such as a plank.

In this case, it goes without saying that the resting method recommendation apparatus 200 may be provided to recognize the user's exercise motion by combining different sensors, photographing devices, and the like.

The resting method recommendation apparatus 200 may generate exercise state information of the user according to variable values such as the number of repetitions of the recognized user's exercise motion, the execution speed, and the amount of pressure.

Accordingly, the exercise state information may include variable values such as the number of repetitions of the exercise motion appearing from the recognized user's exercise motion, the execution speed of the exercise motion, and the amount of pressure generated in the process of performing the exercise motion.

Here, the number of repetitions of the exercise motion may mean the number of times the motion from the start point to the end point of the motion set according to the event information appears from the user's exercise motion, and the execution speed of the exercise motion is the motion set according to the event information. It may mean an elapsed time interval from the start point to the end point of . In this case, the performance speed of the exercise motion may be determined separately from the time interval from the start point of the set motion to the maximum movable point of the set motion, and the time interval from the maximum movable point of the set motion to the end point of the set motion.

For example, when the motion set according to event information is a squat, the user's standing state may be set as the starting point, and the state immediately before the user's knee is bent and the knee is straight before starting to straighten again. It can be set to the maximum operating point. In this case, the end point of the exercise motion may be set to the same state as the start point, but in this case, the end point of the exercise motion may be set to a case in which the user's state changes from the maximum movable point to the same state as the start point. have.

Accordingly, the rest method recommendation apparatus 200 may extract rest information according to at least one of the physical and psychological characteristics transmitted from the exercise recommendation apparatus 100 and the user's exercise state information.

To this end, the resting method recommendation apparatus 200 may store at least one of physical characteristics, psychological characteristics, exercise state information, and rest information. The rest method recommendation apparatus 200 may provide a separate database device to store at least one of physical characteristics, psychological characteristics, exercise state information, and rest information. , may be stored so that rest information is matched to psychological characteristics and exercise state information.

Accordingly, the rest method recommendation apparatus 200 may extract rest information matching the physical characteristics, psychological characteristics, and exercise state information transmitted from the exercise recommendation apparatus 100 , and output the extracted rest information.

In this case, the rest method recommendation apparatus 200 may output rest information including an output device such as a TV (Television) or a monitor (Monitor).

Hereinafter, the rest method recommendation apparatus 200 for extracting rest information matching the exercise state information will be described in more detail.

FIG. 2 is a control block diagram of the exercise recommendation apparatus of FIG. 1 .

The exercise recommendation apparatus 100 may include a characteristic input unit 110 , an event storage unit 120 , an event controller 130 , an event output unit 140 , and a characteristic communication unit 150 .

In addition, the exercise recommendation apparatus 100 may be implemented by more components than the components shown in FIG. 2 , and may be implemented by fewer components than that. Alternatively, in the exercise recommendation apparatus 100 , at least two components provided in the exercise recommendation apparatus 100 may be integrated into one component, and one component may perform a complex function.

The characteristic input unit 110 may receive a physical characteristic or a psychological characteristic from the user.

To this end, a selection for an arbitrary selection button among a plurality of selection buttons output from the characteristic input unit 110 and the item output unit 140 may be input.

Meanwhile, the characteristic input unit 110 may further include a recording device such as a camera or a voice input device such as a microphone from the user, and through this, the characteristic input unit 110 may generate a facial image in which the user's face is photographed. In addition, the characteristic input unit 110 may generate voice information in which the user's voice is recorded.

The characteristic input unit 110 may further receive, from the user, pre-activity information indicating an activity performed by the user in advance or nutrition intake information indicating the nutrition of the food the user has consumed in advance.

In this case, the prior activity information may mean information such as the time interval and repetition number performed by the user for any item information, and the nutritional intake information includes the type of food consumed within an arbitrary time range from the current time, It may mean information such as calorie intake.

Accordingly, when the characteristic input unit 110 receives the pre-activity information, it may be to receive information such as the user's execution time interval and repetition number for arbitrary event information included in the pre-activity information from the user. When the characteristic input unit 110 receives the influence intake information, it may be that the user receives information such as the type of food consumed within an arbitrary time range from the current time included in the nutrition intake information, the calorie intake, and the like.

The item storage unit 120 may store a plurality of item information provided to be performed by the user.

In this regard, the event storage unit 120 may store at least one of physical characteristics, psychological characteristics, and event information.

In addition, the event storage unit 120 is provided as a separate database device, and at least one of physical characteristics, psychological characteristics, and event information may be stored. In this case, the separately provided database device includes physical characteristics and psychological characteristics. It may be stored so that the item information is matched.

The item controller 130 may recommend item information most suitable to the user's physical and psychological characteristics among item information prepared in advance to the user.

To this end, the event controller 130 may extract event information matching the user's physical and psychological characteristics, and the event controller 130 may control to output the extracted event information.

On the other hand, the event control unit 130 may extract one or more feature points from the user's face that appears from the facial image generated by the feature input unit 110 , and the event controller 130 controls the location of the one or more feature points and other feature points. It may be provided to distinguish the faces of different users by determining a difference in position with the .

The event control unit 130 may control to store information on the face classified for an arbitrary user, and accordingly, the event control unit 130 analyzes the user's face image, The same feature points as those extracted from the face may be extracted, and through this, the event control unit 130 may recognize the user according to the extracted feature points.

In this case, the event control unit 130 may control to store the physical characteristics and psychological characteristics input from the corresponding user so as to match the user identified through the facial image, and through this, the event control unit 130 controls whether any user It may be provided so that event information is extracted according to input or performed arbitrary information.

In addition, the event control unit 130 may extract one or more pattern information from a user's voice pattern appearing from the voice information, and the event control unit 130 may be provided to distinguish the voices of different users according to the one or more pattern information. can

The event control unit 130 may control to store information on the divided voice for an arbitrary user, and accordingly, the event control unit 130 analyzes the user's voice information, It is also possible to extract the same voice information as the extracted voice information from the voice, and through this, the event control unit 130 can perform the user's recognition according to the extracted voice information.

In this case, the event control unit 130 may control to store the physical characteristics and psychological characteristics input from the corresponding user so as to match the user classified through the voice information, and through this, the event control unit 130 allows any user to It may be provided so that event information is extracted according to input or performed arbitrary information.

The item output unit 140 may output item information extracted from the item control unit 130 .

To this end, the item storage unit 120 may store an image or an image prepared to match the extracted item information. In this case, the item output unit 140 may output an image or image matching the item information extracted from the item control unit 130 .

The characteristic communication unit 150 may transmit at least one of physical characteristics, psychological characteristics, pre-activity information, and nutrition intake information input from the user to the resting method recommendation apparatus 200 .

Also, the characteristic communication unit 150 may receive exercise state information from the resting method recommendation apparatus 200 .

In this case, the event controller 130 may change the physical and psychological characteristics by applying the exercise state information to the physical and psychological characteristics input by the user.

Accordingly, the event controller 130 may extract event information matching the changed physical characteristics and the changed psychological characteristics, and the event controller 130 may control the extracted event information to be output.

3 is a control block diagram of an apparatus for recommending a rest method according to an embodiment of the present invention.

The rest method recommendation apparatus 200 may include a motion sensor unit 210 , a state storage unit 220 , a rest control unit 230 , a rest output unit 240 , and a state communication unit 250 .

In addition, the resting method recommendation apparatus 200 may be implemented by more components than the components shown in FIG. 3 , and may be implemented by fewer components than the components shown in FIG. 3 . Alternatively, in the relaxation method recommendation apparatus 200 , at least two components provided in the relaxation method recommendation apparatus 200 may be integrated into one component, and one component may perform a complex function.

The motion sensor unit 210 may recognize the user's exercise motion based on the event information, and for this, the state communication unit 250 may receive the event information from the exercise recommendation apparatus 100 .

In this regard, the motion sensor unit 210 may include a photographing device such as a camera, and accordingly, the motion sensor unit 210 may generate image information by photographing the user's whole body.

In addition, the motion sensor unit 210 may include one or more sensors mounted on the user's body or provided to be carried.

The state storage unit 220 may store a plurality of rest information provided to be performed by the user, and in more detail, the state storage unit 220 may store at least one of physical characteristics, psychological characteristics, exercise state information, and rest information. information may be stored.

In addition, the state storage unit 220 is provided as a separate database device, and at least one of physical characteristics, psychological characteristics, exercise state information, and rest information may be stored. It may be stored so that rest information is matched to characteristics, psychological characteristics, and exercise state information.

The rest control unit 230 may generate exercise state information of the user by analyzing the exercise motion.

To this end, the rest control unit 230 may extract a shape of the user from the image information generated by the motion sensor unit 210 , and the rest control unit 230 may perform a user's movement according to a change in the shape of the user appearing from the image information. motion can be judged.

Also, the rest control unit 230 may determine the user's exercise motion by using information generated from one or more sensors mounted on the user's body or provided to be carried.

Accordingly, the rest control unit 230 may generate the user's exercise state information according to variable values such as the number of repetitions of the recognized user's exercise motion, the execution speed, and the amount of pressure.

Specifically, the rest control unit 230 may set one or more weights according to the user's exercise motion, and the rest control unit 230 may extract exercise state information matching the one or more weights.

Here, it may be understood that extracting the exercise state information matching the one or more weights means that the rest controller 230 extracts the exercise state information closest to the distribution of the one or more weights.

To this end, the state storage unit 220 may store the exercise motion or weights so that different weights are matched to the information according to the exercise motion, and the state storage unit 220 is configured to match the exercise state information to the different weights. may be stored.

In this case, the rest control unit 230 may set different weights for the exercise motion of the user according to the type of exercise indicated by the event information and the speed of the exercise motion recognized by the motion sensor unit 210 .

For example, when the event information indicates anaerobic activity, the rest control unit 230 may set the anaerobic weight to be lower as the movement speed determined from the user's exercise motion is faster, and the rest control unit 230 determines that the event information is anaerobic. In the case of indicating an activity, as the movement speed determined from the user's exercise motion is lower, the anaerobic weight may be set higher.

In addition, when the item information indicates aerobic activity, the rest control unit 230 may set a higher aerobic weight as the movement speed determined from the user's exercise motion increases, and the rest control unit 230 determines that the item information indicates the aerobic activity. In this case, the lower the movement speed determined from the user's exercise motion, the lower the aerobic weight may be set.

Also, when an exercise motion according to the type of exercise indicated by the event information is repeated, the rest control unit 230 may assign a weight to the exercise motion.

For example, the rest control unit 230 may assign a repetition weight to an exercise motion according to the item information, and the rest control unit 230 determines that the exercise motion of the user is an exercise motion according to the item information, event information The repetition weights may be superimposed whenever the motion motion according to .

In addition, the rest control unit 230 may set the intensity weight to be higher as the strength of the force determined in the process of performing the exercise motion increases, and the rest control unit 230 may determine that the strength of the force determined in the process of performing the exercise motion is small. The recording intensity weight can be set lower.

In addition, the rest control unit 230 may set the movable range weight to be higher as the movable range shown from the exercise motion is larger, and the rest control unit 230 may set the movable range weight to be lower as the movable range shown from the exercise motion is smaller.

In this way, the rest control unit 230 may determine the exercise state information according to the distribution of different weights determined from the exercise motion.

The rest control unit 230 may extract rest information matching the exercise state information, and the rest control unit 230 may control to output the extracted rest information.

In this case, the rest information may include information such as a time interval during which the user takes a rest, the type of rest, and the like. For example, the rest information is provided so that the user takes a rest at a time interval of seconds according to the exercise state information. Alternatively, it may be provided so that the user can take a break at time intervals of days or weeks.

In addition, the rest information may be provided for the user to take a break while performing a stepping motion, or for the user to take a break while lying down.

Meanwhile, the rest control unit 230 may generate a learning model through a process of learning by collecting a plurality of pieces of information in advance. information can be extracted.

Here, the rest control unit 230 may generate a learning model using techniques such as machine learning and deep learning.

At this time, machine learning can be understood as a technique for generating a learning model to classify a plurality of information into one or more groups based on a plurality of pieces of information, and classifying arbitrary information based on the generated learning model. , machine learning is supervised learning that creates a learning model to classify arbitrary information according to a plurality of information classified by an administrator, analyzes a plurality of information itself, or performs a clustering process to develop a learning model. Unsupervised learning that generates, semi-supervised learning that creates a learning model by mixing supervised learning and unsupervised learning, and rewards generated in the process of performing arbitrary actions on multiple pieces of information It may include reinforcement learning (Reinforcement Learning) that generates a learning model according to the

The rest output unit 240 may output rest information extracted from the rest control unit 230 .

The state communication unit 250 may receive physical and psychological characteristics transmitted from the exercise recommendation apparatus 100 . In this case, the rest control unit 230 may determine the base weight according to the physical characteristics and the psychological characteristics.

Accordingly, in the process of generating the exercise state information, the rest controller 230 may generate the exercise state information by applying a base weight. This may be understood that the rest control unit 230 limits the reference range for information recognized by the motion sensor unit 210 according to the user's physical and psychological characteristics.

Also, the state communication unit 250 may transmit the exercise state information generated by the rest control unit 230 to the exercise recommendation apparatus 100 .

4 is a block diagram illustrating a process of extracting item information from the item control unit of FIG. 2 .

Referring to FIG. 4 , the characteristic input unit 110 may receive physical characteristics or psychological characteristics from the user, and the characteristic input unit 110 may include dictionary activity information or a dictionary indicating an activity previously performed by the user from the user. In the , the user may receive further input of nutritional intake information indicating the nutrition of the food consumed.

In this case, the event storage unit 120 may store a plurality of event information provided to be performed by the user. can also be saved.

Accordingly, the item controller 130 may recommend item information most suitable to the user's physical and psychological characteristics among item information prepared in advance to the user.

To this end, the event controller 130 may extract event information matching the user's physical and psychological characteristics, and the event controller 130 may control to output the extracted event information.

The item output unit 140 may output item information extracted from the item control unit 130 .

Also, the characteristic communication unit 150 may transmit at least one of physical characteristics, psychological characteristics, pre-activity information, and nutrition intake information input from the user to the resting method recommendation apparatus 200 .

Meanwhile, the characteristic communication unit 150 may receive exercise state information from the resting method recommendation apparatus 200 .

In this case, the event controller 130 may change the physical and psychological characteristics by applying the exercise state information to the physical and psychological characteristics input by the user.

Accordingly, the event controller 130 may extract event information matching the changed physical characteristics and the changed psychological characteristics, and the event controller 130 may control the extracted event information to be output.

5 is a block diagram illustrating a process of extracting rest information from the rest control unit of FIG. 3 .

Referring to FIG. 5 , the motion sensor unit 210 may recognize the user's exercise motion based on the event information, and for this purpose, the status communication unit 250 may receive the event information from the exercise recommendation device 100 . have.

Meanwhile, the state storage unit 220 may store a plurality of rest information provided to be performed by the user, and in more detail, the state storage unit 220 may store one of physical characteristics, psychological characteristics, exercise state information, and rest information. At least one piece of information may be stored.

Accordingly, the rest control unit 230 may generate exercise state information of the user by analyzing the exercise motion.

To this end, the rest control unit 230 may extract a shape of the user from the image information generated by the motion sensor unit 210 , and the rest control unit 230 may perform a user's movement according to a change in the shape of the user appearing from the image information. motion can be judged.

Here, the rest control unit 230 may generate the user's exercise state information according to variable values such as the number of repetitions of the recognized user's exercise motion, the execution speed, and the amount of pressure.

Specifically, the rest control unit 230 may set one or more weights according to the user's exercise motion, and the rest control unit 230 may extract exercise state information matching the one or more weights.

To this end, the state storage unit 220 may store the exercise motion or weights so that different weights are matched to the information according to the exercise motion, and the state storage unit 220 is configured to match the exercise state information to the different weights. may be stored.

In this case, the rest control unit 230 may set different weights for the exercise motion of the user according to the type of exercise indicated by the event information and the speed of the exercise motion recognized by the motion sensor unit 210 .

For example, when the event information indicates anaerobic activity, the rest control unit 230 may set the anaerobic weight to be lower as the movement speed determined from the user's exercise motion is faster, and the rest control unit 230 determines that the event information is anaerobic. In the case of indicating an activity, as the movement speed determined from the user's exercise motion is lower, the anaerobic weight may be set higher.

In addition, when the item information indicates aerobic activity, the rest control unit 230 may set a higher aerobic weight as the movement speed determined from the user's exercise motion increases, and the rest control unit 230 determines that the item information indicates the aerobic activity. In this case, the lower the movement speed determined from the user's exercise motion, the lower the aerobic weight may be set.

Also, when an exercise motion according to the type of exercise indicated by the event information is repeated, the rest control unit 230 may assign a weight to the exercise motion.

For example, the rest control unit 230 may assign a repetition weight to an exercise motion according to the item information, and the rest control unit 230 determines that the exercise motion of the user is an exercise motion according to the item information, event information The repetition weights may be superimposed whenever the motion motion according to .

In addition, the rest control unit 230 may set the intensity weight to be higher as the strength of the force determined in the process of performing the exercise motion increases, and the rest control unit 230 may determine that the strength of the force determined in the process of performing the exercise motion is small. The recording intensity weight can be set lower.

In addition, the rest control unit 230 may set the movable range weight to be higher as the movable range shown from the exercise motion is larger, and the rest control unit 230 may set the movable range weight to be lower as the movable range shown from the exercise motion is smaller.

Meanwhile, the state communication unit 250 may receive physical and psychological characteristics transmitted from the exercise recommendation apparatus 100 . In this case, the rest control unit 230 may determine the base weight according to the physical characteristics and the psychological characteristics.

Accordingly, in the process of generating the exercise state information, the rest controller 230 may generate the exercise state information by applying a base weight.

In this way, the rest control unit 230 may determine the exercise state information according to the distribution of different weights determined from the exercise motion.

The rest control unit 230 may extract rest information matching the exercise state information, and the rest control unit 230 may control to output the extracted rest information.

Accordingly, the rest output unit 240 may output the rest information extracted from the rest control unit 230 .

6 is a flowchart of a customized sports coaching method according to an embodiment of the present invention.

The customized sports coaching method according to an embodiment of the present invention proceeds on substantially the same configuration as the customized sports coaching system 1 shown in FIG. 1 , so for the same components as the customized sports coaching system 1 of FIG. The same reference numerals are given, and repeated descriptions will be omitted.

The customized sports coaching method includes the steps of receiving input of physical characteristics and psychological characteristics (600), outputting event information (610), recognizing the user's exercise motion (620), and generating the user's exercise state information ( 630) and extracting and outputting rest information (640).

The step 600 of receiving the input of the physical characteristics and the psychological characteristics may be a step of receiving the physical characteristics and the psychological characteristics from the user in the exercise recommendation apparatus 100 .

In the step 610 of outputting the event information, the exercise recommendation device 100 stores a plurality of event information prepared to be performed by the user, and extracts event information matching the physical and psychological characteristics input from the user. , it may be a step of outputting item information.

Recognizing the exercise motion of the user 620 may be a step of recognizing the exercise motion of the user based on the event information in the resting method recommendation apparatus 200 .

The step 630 of generating the exercise state information of the user may be a step of generating the exercise state information of the user by analyzing the exercise motion in the resting method recommendation apparatus 200 .

The step of extracting and outputting rest information ( 640 ) is a step of, in the rest method recommendation apparatus 200 , a plurality of rest information provided to be performed by a user is stored, and extracting and outputting rest information matching the exercise state information can be

Although the above has been described with reference to the embodiments, it will be understood by those skilled in the art that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the following claims. will be able

1: Customized sports coaching system
100: exercise recommendation device
200: relaxation method recommendation device

Claims (15)

an exercise recommendation apparatus storing a plurality of event information provided to be performed by the user, extracting event information matching the physical and psychological characteristics input from the user, and outputting the event information; and
Recognizes the user's exercise motion based on the event information, analyzes the exercise motion to generate the user's exercise state information, and stores a plurality of rest information provided to be performed by the user to match the exercise state information and a rest method recommendation device for extracting and outputting resting information,
The rest information is,
It includes information on the time interval and type of rest during which the user takes a break,
The time interval during which the user takes a break is,
It is provided so that the user can take a break at a time interval of seconds, days, or weeks according to the exercise state information,
The type of rest information is,
A user is provided to take a break while performing a stepping motion, or a user is provided to take a rest while lying down;
The psychological characteristics include the user's psychological anxiety level, drug use history, and caffeine intake,
The resting method recommendation device is,
receiving body characteristics and psychological characteristics from the exercise recommendation device, determining a basic weight according to the physical characteristics and psychological characteristics, and applying the basic weight to the exercise motion to generate the exercise state information;
The resting method recommendation device is,
A repetition weight is given to the exercise motion according to the item information, and when it is determined that the user's exercise motion is an exercise motion according to the item information, the repetition weight is overlapped whenever the exercise motion according to the item information is repeated,
The resting method recommendation device is,
Set the intensity weight according to the intensity of the user's force in the process of performing the user's exercise motion,
Set the range of motion weight according to the range of motion of the user in the process of performing the motion of the user,
The resting method recommendation device is,
The exercise state information is generated by applying the base weight to the exercise motion, and the exercise state information is determined and generated according to the distribution of the repetition weight, the intensity weight, and the movable range weight determined from the exercise motion. sports coaching system.
According to claim 1, wherein the exercise recommendation device,
A customized sports coaching system that further receives, from the user, prior activity information indicating the activity performed by the user in advance and nutritional intake information indicating the nutrition of the food consumed by the user in advance.
According to claim 1, wherein the exercise recommendation device,
By receiving the exercise state information from the resting method recommendation device, and applying the exercise state information to the physical characteristics and the psychological characteristics input from the user, the body characteristics and the psychological characteristics are changed, and the changed body characteristics and the changed physical characteristics are applied. A customized sports coaching system that extracts event information that matches psychological characteristics.
The method of claim 1, wherein the resting method recommendation device comprises:
When the event information indicates anaerobic activity, the faster the movement speed determined from the user's exercise motion, the lower the anaerobic weight is set, and the lower the movement speed determined from the user's exercise motion, the higher the anaerobic weight is set. Customized sports coaching system.
The method of claim 1, wherein the resting method recommendation device comprises:
When the event information indicates aerobic activity, the higher the movement speed determined from the user's exercise motion, the higher the aerobic weight is set, and the lower the movement speed determined from the user's exercise motion, the lower the aerobic weight is set. Customized sports coaching system.
delete delete One or more sensors are provided, the motion sensor unit for recognizing the user's motion;
a rest control unit that analyzes the exercise motion to generate exercise state information of the user and extracts rest information matching the exercise state information; and
and a rest output unit for outputting rest information extracted from the rest control unit,
The rest information is,
It includes information on the time interval and type of rest during which the user takes a break,
The time interval during which the user takes a break is,
It is provided so that the user can take a break at a time interval of seconds, days, or weeks according to the exercise state information,
The type of rest information is,
A user is provided to take a break while performing a stepping motion, or a user is provided to take a rest while lying down;
Further comprising a state communication unit receiving physical characteristics and psychological characteristics from the exercise recommendation device,
The psychological characteristics include the user's psychological anxiety level, drug use history, and caffeine intake,
The rest control unit,
determining a base weight according to the physical characteristics and psychological characteristics, and applying the base weight to the exercise motion to generate the exercise state information;
The rest control unit,
A repetition weight is given to the exercise motion according to the item information, and when the user's exercise motion is determined to be an exercise motion according to the item information, the repetition weight is overlapped whenever the exercise motion according to the item information is repeated,
The rest control unit,
Set the intensity weight according to the intensity of the user's force in the process of performing the user's exercise motion,
Set the range of motion weight according to the range of motion of the user in the process of performing the motion of the user,
The rest control unit,
The exercise state information is generated by applying the base weight to the exercise motion, and the exercise state information is determined and generated according to the distribution of the repetition weight, the intensity weight, and the movable range weight determined from the exercise motion. How to recommend device.
In the customized sports coaching method in the customized sports coaching system,
In an exercise recommendation apparatus, the method comprising: receiving input of physical characteristics and psychological characteristics from a user;
a step of storing, in an exercise recommendation apparatus, a plurality of event information provided to be performed by a user, extracting event information matching the physical and psychological characteristics input from the user, and outputting the event information;
Recognizing a user's exercise motion based on the event information in the rest method recommendation device;
generating exercise state information of a user by analyzing the exercise motion in the resting method recommendation apparatus; and
In the rest method recommendation apparatus, a plurality of rest information provided to be performed by a user is stored, and extracting and outputting rest information matching the exercise state information,
The rest information is,
It includes information on the time interval and type of rest during which the user takes a break,
The time interval during which the user takes a break is,
It is provided so that the user can take a break at a time interval of seconds, days, or weeks according to the exercise state information,
The type of rest information is,
A user is provided to take a break while performing a stepping motion, or a user is provided to take a rest while lying down;
The psychological characteristics include the user's psychological anxiety level, drug use history, and caffeine intake,
The step of generating the user's exercise state information,
receiving body characteristics and psychological characteristics from the exercise recommendation device, determining a basic weight according to the physical characteristics and psychological characteristics, and applying the basic weight to the exercise motion to generate the exercise state information;
The step of generating the user's exercise state information,
A repetition weight is given to the exercise motion according to the item information, and when it is determined that the user's exercise motion is an exercise motion according to the item information, the repetition weight is overlapped whenever the exercise motion according to the item information is repeated,
The step of generating the exercise state information of the user,
Set the intensity weight according to the intensity of the user's force in the process of performing the user's exercise motion,
Set the range of motion weight according to the range of motion of the user in the process of performing the motion of the user,
The step of generating the exercise state information of the user,
The exercise state information is generated by applying the base weight to the exercise motion, and the exercise state information is determined and generated according to the distribution of the repetition weight, the intensity weight, and the movable range weight determined from the exercise motion. How to coach sports.
10. The method of claim 9, wherein the step of receiving the physical characteristics and psychological characteristics,
A customized sports coaching method that further receives input from the user, prior activity information indicating the activity performed by the user in advance, and nutritional intake information indicating the nutrition of the food eaten by the user in advance.
The method of claim 9, wherein the outputting of the event information comprises:
By receiving the exercise state information from the resting method recommendation device, and applying the exercise state information to the physical characteristics and the psychological characteristics input from the user, the body characteristics and the psychological characteristics are changed, and the changed body characteristics and the changed physical characteristics are applied. A customized sports coaching method that extracts event information that matches psychological characteristics.
The method of claim 9, wherein the generating of the user's exercise state information comprises:
When the event information indicates anaerobic activity, the faster the movement speed determined from the user's exercise motion, the lower the anaerobic weight is set, and the lower the movement speed determined from the user's exercise motion, the higher the anaerobic weight is set. Customized sports coaching method.
The method of claim 9, wherein the generating of the user's exercise state information comprises:
When the event information indicates aerobic activity, the higher the movement speed determined from the user's exercise motion, the higher the aerobic weight is set, and the lower the movement speed determined from the user's exercise motion, the lower the aerobic weight is set. Customized sports coaching method.
delete delete

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