CN110870970A - Intelligent fitness device and application thereof - Google Patents
Intelligent fitness device and application thereof Download PDFInfo
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- CN110870970A CN110870970A CN201811007626.XA CN201811007626A CN110870970A CN 110870970 A CN110870970 A CN 110870970A CN 201811007626 A CN201811007626 A CN 201811007626A CN 110870970 A CN110870970 A CN 110870970A
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- exercise
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- detection hardware
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
Abstract
The invention provides an intelligent fitness device and application thereof, wherein the intelligent detection device comprises a fitness body and at least one piece of intelligent detection hardware, the intelligent detection hardware is arranged on the fitness body, and the intelligent detection hardware can acquire exercise data related to a user from the fitness body.
Description
Technical Field
The invention relates to the field of fitness, in particular to an intelligent fitness device and application thereof.
Background
For busy modern people, fitness can help people create a more robust body to face heavy pressure on work or in life. Gyms offer a variety of exercise equipment for users to choose from, some of which are less common in everyday life.
For users of fitness, especially novices, faced with a great variety of fitness equipment, it is often overwhelmed to choose to run on a treadmill for exercise. Some gyms provide specialized coaches to guide novices in selecting and using exercise equipment, while some shared gyms are not specifically equipped with specialized personnel to provide guidance to the user. Use of fitness equipment under incorrect guidance may result in the user not taking the correct exercise posture or even possibly causing safety problems.
Another problem is that, when a novice user or a user with a certain exercise base is primarily guided by other people or simulates the way other users learn to use the fitness equipment, there may be a problem that the exercise is not in place during the exercise, for example, the exercise posture deviates with the increase of the exercise intensity, for example, the exercise intensity deviates with the increase of the exercise times, so that the user cannot achieve the expected exercise effect. For the user, the user without exercise experience is not aware of what specific exercise the user needs, and in most cases, the user can only draw a gourd and refer to some exercise plans of others or fumble by the user. These all present obstacles to the way users, especially exercise novice users, exercise.
Disclosure of Invention
An object of the present invention is to provide an intelligent exercise device and applications thereof, wherein the intelligent exercise device is capable of assisting a user in exercising.
Another object of the present invention is to provide an intelligent exercise device and applications thereof, wherein the intelligent exercise device is capable of collecting exercise data of a user.
Another objective of the present invention is to provide an intelligent exercise device and an application thereof, wherein the intelligent exercise device includes an exercise body and at least one intelligent detection hardware, wherein the intelligent detection hardware is disposed on the exercise body for acquiring exercise data of a user.
Another objective of the present invention is to provide an intelligent exercise device and the application thereof, wherein the intelligent detection hardware can be installed on a plurality of different exercise equipments to obtain exercise data of the user at any time.
It is another object of the present invention to provide an intelligent exercise device and applications thereof, wherein the intelligent exercise device is managed by an exercise management system capable of guiding a user to exercise based on exercise equipment and the user's own physical data.
It is another object of the present invention to provide an intelligent exercise device and applications thereof, wherein the exercise management system can guide the user to exercise according to the data acquired by the intelligent exercise device.
Another object of the present invention is to provide an intelligent exercise device and the application thereof, wherein the exercise management system can prompt the user when the user is in an abnormal exercise state.
Another object of the present invention is to provide an intelligent exercise device and an application thereof, wherein the exercise management system can personalize recommended courses according to individual differences of users.
According to one aspect of the present invention, there is provided an intelligent fitness device comprising:
a body-building body; and
at least one intelligent detection hardware, wherein the intelligent detection hardware is arranged on the body-building body.
According to an embodiment of the invention, the smart detection hardware is detachably connected to the exercise body.
According to an embodiment of the invention, the smart detection hardware is adhesively connected to the exercise body.
According to an embodiment of the invention, the intelligent detection hardware is connected to the body-building body in a magnetic attraction manner.
According to an embodiment of the present invention, the smart detection hardware includes at least one sensor, at least one communicator and a power mechanism, wherein the communicator is communicatively coupled to the sensor, wherein the power mechanism is electrically coupleable to the sensor.
According to another aspect of the present invention, the present invention provides an intelligent detection hardware for an exercise device, comprising:
at least one sensor;
at least one communicator; and
a power mechanism, wherein the sensor is communicatively coupled to the sensor, the power mechanism being electrically coupleable to the communicator.
According to an embodiment of the present invention, the smart detection hardware is a ring-shaped structure and the smart detection hardware can be docked to the exercise device.
According to an embodiment of the present invention, the smart detection hardware is a buckle structure, and the smart detection hardware can be connected to the exercise device.
According to another aspect of the present invention, there is provided a method for exercise guidance based on at least one intelligent fitness device, comprising the steps of:
(A) obtaining motion information of a user through the intelligent fitness device;
(B) analyzing the motion information of the user to judge whether the user needs guidance;
(C) if yes, generating a motion guide; and
(D) providing the motion guidance to a user.
According to an embodiment of the present invention, between the step (a), the following steps are further included:
collecting information of the intelligent fitness device;
judging whether the intelligent fitness device meets the current requirement of a user; and
if so, matching the intelligent fitness device with the user; if not, a replacement prompt is sent.
Drawings
Fig. 1 is a schematic diagram of an intelligent exercise device according to a preferred embodiment of the present invention.
FIG. 2 is a diagram of an intelligent detection hardware according to a preferred embodiment of the invention.
FIG. 3A is a diagram of a smart detection hardware according to a preferred embodiment of the present invention.
FIG. 3B is a diagram of a smart detection hardware according to a preferred embodiment of the present invention.
FIG. 3C is a diagram of a smart detection hardware according to a preferred embodiment of the present invention.
Fig. 4A is a schematic diagram of an application of an intelligent exercise device according to a preferred embodiment of the invention.
Fig. 4B is a schematic diagram of an application of an intelligent exercise device according to a preferred embodiment of the invention.
Fig. 4C is a schematic diagram of an application of an intelligent exercise device according to a preferred embodiment of the invention.
Fig. 4D is a schematic diagram of an application of an intelligent exercise device according to a preferred embodiment of the invention.
FIG. 5 is a block diagram of a fitness management system according to a preferred embodiment of the present invention.
FIG. 6 is a schematic diagram of the operation of a fitness management system according to a preferred embodiment of the invention.
FIG. 7 is a schematic diagram of an exercise management system according to a preferred embodiment of the present invention.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It will be understood by those skilled in the art that in the present disclosure, the terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in an orientation or positional relationship indicated in the drawings for ease of description and simplicity of description, and do not indicate or imply that the referenced devices or components must be in a particular orientation, constructed and operated in a particular orientation, and thus the above terms are not to be construed as limiting the present invention.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
Referring to the drawings of the present specification to fig. 1 to 3C, an intelligent exercise apparatus 1 according to a preferred embodiment of the present invention is disclosed and illustrated in the following description, wherein the intelligent exercise apparatus 1 includes an intelligent detection hardware 1000 and an exercise body 2000, wherein the intelligent detection hardware 1000 is disposed on the exercise body 2000 for detecting data related to exercise of a user. The body-building body 2000 is used for a user to complete exercise, and the body-building body 2000 can be various body-building devices or body-building equipment such as a dumbbell, a kettle bell, an elastic band and an elliptical machine.
The smart sensor hardware 1000 comprises at least one sensor 1001, at least one communicator 1002 and a power mechanism 1003, wherein the sensor 1001 and the communicator 1002 are electrically connected to the sensor 1001 and the communicator 1002, respectively, to supply power for the operation of the sensor 1001 and the communicator 1002. The power supply mechanism 1003 may be detachable, and when the power supply mechanism 1003 runs out, the power supply mechanism can be detached and can be reattached to supply power after being fully charged. The power supply mechanism 1003 may be fixed, and may be charged by an external power source, and may be wired or wireless.
The sensor 1001 is communicably connected to the communicator 1002, and the communicator 1002 is configured to communicate with an external device to transmit data detected by the sensor 1001 to the outside.
The sensor 1001 may be, but is not limited to, a six-axis motion sensor, an acceleration sensor, an angular velocity sensor, a magnetic sensor, a temperature sensor, or the like, or a sensor group formed by the above sensors. The sensor 1001 can detect the exercise intensity and exercise frequency of the user during the exercise.
The smart detection hardware 1000 is installed in the exercise body 2000, and obtains exercise data of the user through changes of various parts of the exercise body 2000, for example, a dumbbell is taken as an example, the smart detection hardware 1000 is installed in the dumbbell, the sensor 1001 can detect a motion track, a motion speed and a motion frequency of the exercise body 2000, and for example, the sensor 1001 can detect that the user lifts the dumbbell upward for 5 times within 5 minutes.
It is worth mentioning that the smart detection hardware 1000 may be a separate detection device, and the user may install the smart detection hardware 1000 to a separate exercise device, i.e. the exercise body 2000, to obtain exercise data. That is, the smart detection hardware 1000 is detachably connected to the exercise body 2000. In other examples of the present invention, the smart detection hardware 1000 is fixedly mounted to the exercise body 2000.
Further, the smart detection hardware 1000 may further include at least one processor 1004, wherein the processor 1004 is communicatively connected to the sensor 1001, the processor 1004 is communicatively connected to the communicator 1002, and the processor 1004 can process the data detected by the sensor 1001, such as calculating the energy consumed by the user in the exercise through the detected motion data of the sensor 1001. The processor 1004 is electrically connectable to the power supply mechanism 1003.
It should be noted that the type of the communicator 1002 is not limited in the intelligent exercise device 1 of the present invention, for example, the communicator 1002 may be any module capable of implementing communication, such as a Wifi module, a Lifi module, a bluetooth module, a 2G/3G/4G/5G module, an NB-iot module, a Lora module, or a communication module group composed of the above communication modules.
In this example, the communicator 1002 is implemented as a bluetooth module, wherein the bluetooth module may be wirelessly connected or may be wired.
The smart detection hardware 1000 may further include a display screen 1005, wherein the display is communicatively coupled to the processor 1004, wherein the display screen 1005 is capable of graphically or digitally displaying exercise information about the user for the user to conveniently view the exercise information through the display screen 1005. The display screen 1005 is electrically connectable to the power supply mechanism 1003.
It should be noted that the type of the display screen 1005 is not limited in the intelligent exercise device 1 of the present invention, for example, the display screen 1005 may be a CRT display screen, an LCD display screen, an LED display screen, a 3D display screen, a plasma display screen, an electronic ink display screen, or the like. When the display screen 1005 is a 3D display screen, the display screen can project a 3D image. Preferably, the display screen 1005 is small in size to facilitate portability. Preferably, the display screen 1005 has a flexible structure so that it can be bent.
Further, the smart sensor hardware 1000 may further include a memory 1006, wherein the memory 1006 is communicatively coupled to the sensor 1001 for storing data detected by the sensor 1001. The memory 1006 may also be communicatively coupled to the processor 1004 to store a processing result obtained by the processor 1004 in the memory 1006. The memory 1006 is electrically connected to the power supply mechanism 1003. It is noted that the processor 1004 can not only store data in the memory 1006, but also read data from the memory 1006. The memory 1006 may also be communicatively coupled to the communicator 1002 to transfer data within the memory 1006 to the outside world or to store data from the outside world. The memory 1006 is electrically connected to the power supply mechanism 1003.
The type of the memory 1006 is not limited, for example, the memory 1006 may be, but is not limited to, an SD card or the like, which is capable of allowing the processor 1004 to store data to the memory 1006 and subsequently read data from the memory 1006. Preferably, the memory 1006 is small in size for convenient portability. Preferably, the reservoir 1006 has a flexible structure so that it can be bent.
Further, the smart detection hardware 1000 may further include a positioning element 1007, wherein the positioning element 1007 is communicatively connected to the processor 1004, the positioning element 1007 can determine the position of the exercise body 2000 to obtain a position information, and the position information of the positioning element 1007 can be stored in the memory 1006, and the position information can be transmitted to other devices or a cloud through the communicator 1002.
The smart detection hardware 1000 may be a patch structure, wherein the smart detection hardware 1000 has a surface that can be pasted, so that the smart detection hardware 1000 can be installed in the fitness body 2000 in a pasting manner, for example, the smart detection hardware 1000 may be made of a nano silica gel, and is directly pasted to a surface of the fitness body 2000 through the nano silica gel.
When the intelligent detection hardware 1000 is a patch type structure, the intelligent detection hardware 1000 can be applied to a ox horn bag, and a user moves back and forth in the exercise process when the ox horn bag is moved, the intelligent detection hardware 1000 can detect data such as displacement, moving speed, moving distance, moving frequency and the like of the ox horn bag, so that the exercise state of the user can be obtained by analyzing the data detected by the intelligent detection hardware 1000 in the subsequent process. The smart detection hardware 1000 may also be applied to a pot bell, and the smart detection hardware 1000 may detect data such as a moving track, a moving speed, etc. of the pot bell when a user moves the pot bell around during an exercise, but it is understood that the detected data may include the above-mentioned types but is not limited thereto.
The smart sensor hardware 1000 may be a planar or curved patch structure, such as a C-shaped structure.
The smart detection hardware 1000 may also be a bracelet-type structure, and is connected to the exercise body 2000 by a sleeve-connection manner, for example, some holding rods, the smart detection hardware 1000 may include a pressure sensor 1001, and the smart detection hardware 1000 may be installed at a user holding portion of the exercise body 2000, and detect a pressure applied to the exercise body 2000 by a user in a process of the user gripping the exercise body 2000. When the body-building body 2000 is a kettle bell, the intelligent detection hardware 1000 of the bracelet structure may be sleeved at a handle position of the kettle bell. When the exercise body 2000 is a barbell, the smart detection hardware 1000 may be sleeved on a holding rod of the barbell, or the smart detection hardware 1000 may be a patch type barbell disc installed on the barbell.
In this example, the smart detection hardware 1000 is repeatedly attachable and detachable to the exercise body 2000. The smart detection hardware 1000 may be detachably connected to the fitness body 2000 by magnetic attraction, because most fitness bodies 2000 are made of a metal material to ensure strength.
The smart detection hardware 1000 may also be a buckle structure, wherein the length of the smart detection hardware 1000 can be adjusted to fit the exercise body 2000 with different sizes.
The type of structure of the smart sensor hardware 1000 described above is not intended to limit the present invention.
The material of intellectual detection system hardware 1000 can be through the silica gel material preparation, so that intellectual detection system hardware 1000 can be deformed in order to laminate body-building body 2000 the surface. The material of the smart detection hardware 1000 may include fabric or leather, and even in order to maintain a certain appearance, the material of the smart detection hardware 1000 may include a thin steel plate.
Further, during the exercise using the intelligent exercise device 1, the user himself/herself may be equipped with the intelligent detection hardware 1000, the intelligent detection hardware 1000 is used to detect the physical state of the user, for example, the intelligent detection hardware 1000 can detect the physical state data of the user, such as heart rate, blood pressure, body surface temperature, muscle current, and brain wave.
The smart detection hardware 1000 can be attached to the user's chest to detect the user's heart rate, or the smart detection hardware 1000 is implemented as a bracelet worn over the user's arm to detect blood pressure and body surface temperature.
It is understood that the smart detection hardware 1000 can be installed on the body of the user to obtain the body state data of the user, and for the user, the smart detection hardware 1000 may be self-contained by the user or may be from the exercise body 2000. That is, a user may carry one of the smart detection hardware 1000 by himself during exercise, and the smart detection hardware 1000 may cooperate with the smart detection hardware 1000 installed in the exercise body 2000, or the smart detection hardware 1000 installed in the user and the smart detection hardware 1000 installed in the exercise body 2000 may independently transmit data to a cloud server. When the smart sensor hardware 1000 installed on the user can be paired with the smart sensor hardware 1000 installed on the exercise body 2000, data detected by the smart sensor hardware 1000 installed on the exercise body 2000 can be transmitted to the smart sensor hardware 1000 installed on the user, and the display screen 1005 of the smart sensor hardware 1000 can display a relevant processing result. In this process, a pairing is required between the smart detection hardware 1000 installed on the user and the smart detection hardware 1000 installed on the exercise body 2000.
When the intelligent fitness device 1 provides the intelligent detection hardware 1000 by itself, the intelligent detection hardware 1000 may prompt the user to wear or stick the intelligent detection hardware 1000, so that the intelligent detection hardware 1000 can more accurately detect data. The intelligent fitness device 1 illustrated in fig. 1 and 2 is not limited to the content and scope of the intelligent fitness device 1 of the present invention. The exercise body 2000 of the intelligent exercise device 1 may be various types of exercise bodies 2000, that is, the intelligent detection hardware 1000 equipped with the sensors 1001 of different types may be suitable for detecting data of the exercise bodies 2000 of different types.
Referring to FIG. 3A, the smart detection hardware 1000' may be a C-shaped buckle structure that can be suspended from an exercise device. Referring to fig. 3B, the smart detection hardware 1000 "may be a ring structure, and may be installed on an exercise device or on the hands or feet of a user. Referring to fig. 3C, the smart detection hardware 1000 '"may be a tape structure capable of being pasted, and two ends of the smart detection hardware 1000'" may be repeatedly pasted, for example, a magic tape structure.
Referring to fig. 4A, a user is exercising using the intelligent fitness apparatus 1A. The exercise body 2000A is a dumbbell to which the smart detection hardware 1000A is installed to obtain an exercise data about a user from the exercise body 2000A. It is understood that the smart detection hardware 1000A may also be worn directly on the user to obtain physical status data of the user during exercise.
Referring to fig. 4B, a user is exercising using the intelligent exercise device 1B, the exercise body 2000B is an elliptical machine with handles and pedals corresponding to the handles, the handles and the pedals are linked, and during the exercise, the user can hold the handles with hands and then pedal the pedals to move back and forth to exercise multiple parts of the body.
In this example, the smart detection hardware 1000B is disposed on the handle or footboard portion of the elliptical machine to obtain user exercise data, such as exercise speed and exercise trajectory.
Referring to fig. 4C, the user is exercising using the intelligent fitness device 1C, the fitness body 2000C is a stretch rope, the stretch rope is fixed to the ankle of the user by a wearing device, and then the user holds the two ends of the stretch rope, so that the user can exercise by stretching the stretch rope.
In this example, the smart detection hardware 1000C may be disposed at the end of the bungee cord. The intelligent detection hardware 1000C collects exercise data of the user along with the movement of the end of the elastic cord, for example, data of a distance for stretching the elastic cord, or data of a distance for swinging an arm, a frequency of swinging, a speed of swinging, and the like. While the smart detection hardware 1000C is held in the user's hand, temperature data of the user may also be collected.
Referring to fig. 4D, the user is using the intelligent exercise device 1D to exercise, the exercise body 2000D is an exercise wheel, the user's hands can be supported on the ground through the exercise wheel, then the exercise wheel is rolled inwards by the abdominal force to arch the whole body while keeping the relative fixation, and then the exercise wheel is pushed outwards by the body force to exercise the abdominal muscles.
In this example, the smart detection hardware 1000D may be disposed on a side of a wheel of the exercise wheel, or may be disposed on a connection rod of the exercise wheel. The smart detection hardware 1000D can follow the rolling motion of the exercise wheel and collect exercise related data during this process.
Referring to the description of the invention to fig. 5 and 6, an exercise management system 100 according to a preferred embodiment of the present invention is illustrated in the following description. The management system may manage the intelligent fitness device 1 of fig. 1 and 2, and the fitness management system 100 may automatically give exercise guidance according to exercise data about the user acquired by the intelligent fitness device 1 to perform correct and effective exercise on the user. For example, the gym management system 100 evaluates whether the user's exercise posture is in place based on the user's data while exercising using one of the intelligent fitness devices 1, monitors the user's exercise progress, and when the user exercises under the supervision of the gym management system 100, the user's exercise posture and exercise progress can be scientifically controlled to help ensure the user's exercise effectiveness.
Specifically, the exercise management system 100 has an acquisition unit 10, a management unit 20, and an interaction unit 30, wherein the acquisition unit 10, the management unit 20, and the interaction unit 30 are communicably connected to each other. When a user exercises with the intelligent fitness device 1, the obtaining unit 10 is used for obtaining exercise information of the user, the management unit 20 is used for generating a health guide according to the exercise information of the user, and the interaction unit 30 provides the health guide to the user. The acquiring unit 10 includes an acquiring module 11, wherein the acquiring module 11 is configured to acquire exercise information about a user by externally connecting the intelligent fitness device 1, the acquiring module 11 may include an equipment data acquiring module 111 and a user physical status data acquiring module 112, wherein the equipment data acquiring module 111 and the user physical status data acquiring module 112 are respectively communicably connected to the managing unit 20, wherein the equipment data acquiring module 111 is configured to acquire data related to the intelligent fitness device 1 used by the user, and the user physical status acquiring module 11 is configured to acquire physical status data of the user. In this way, the acquiring unit 10 can be used to obtain exercise information about the user, the exercise information including physical state information during the user's exercise, and the exercise information may also include, but is not limited to, a movement trace, the number of movements, a heart rate, a blood oxygen concentration, a blood pressure, a body surface temperature, a muscle current, and a brain wave.
The management unit 20 includes an exercise analysis module 21, a generation module 22 and a storage module 23, wherein the exercise analysis module 21 is respectively communicably connected to the acquisition module 11 and the generation module 22 of the acquisition unit 10, and the storage module 23 is respectively communicably connected to the generation module 22 and the interaction unit 30.
The exercise analysis module 21 includes an exercise standard degree exercise analysis module 211, wherein the exercise standard degree exercise analysis module 211 is configured to analyze whether the exercise posture of the user is standard, and the exercise standard degree exercise analysis module 211 is communicably connected to the acquisition module 11 of the acquisition unit 10. The generation module 22 is communicatively connected to the exercise standard degree exercise analysis module 211.
For example, the exercise standard degree exercise analysis module 211 determines whether the user is in a standard exercise posture based on the motion trajectory acquired by the acquisition module 11, for example, when the user lifts a dumbbell on the back, the acquisition module 11 acquires that the user has moved 30 times, but the height of the dumbbell at each time is different and the deviation exceeds a certain range, so that the exercise standard degree exercise analysis module 211 may obtain an analysis result that the user does not keep in a standard posture for exercise. The interactive unit 30 may issue a prompt based on the analysis result of the exercise analysis module 21 and prompt the user to take a more effective exercise form.
The exercise analysis module 21 includes a matching exercise analysis module 212, wherein the matching exercise analysis module 212 is used for analyzing whether the current exercise is suitable for the user, and the matching exercise analysis module 212 is communicably connected to the acquisition module 11 of the acquisition unit 10 and the generation module 22 of the management unit 20.
The matching exercise analysis module 212 includes an exercise pattern matching exercise analysis module 2121 and an exercise intensity matching exercise analysis module 2122, wherein the exercise pattern matching exercise analysis module 2121 and the exercise intensity matching exercise analysis module 2122 are respectively communicably connected to the acquisition module 11 of the acquisition unit 10, and the generation module 22 is respectively communicably connected to the exercise pattern matching exercise analysis module 2121 and the exercise intensity matching exercise analysis module 2122.
The exercise pattern matching exercise analysis module 2121 is configured to analyze whether the current exercise pattern is suitable for the user, and the exercise intensity matching exercise analysis module 2122 is configured to analyze whether the current exercise intensity is suitable for the user.
For example, according to the user physical state data collecting module 112 of the collecting module 11 of the obtaining unit 10, heart rate data of the user is collected, and the heart rate rising speed of the user is analyzed to exceed a certain range, so as to obtain an analysis result, the exercise mode adopted by the current user is not suitable for the current motion state of the user.
For example, according to the heart rate data and/or the surface temperature information of the user collected by the user physical state data collection module 112 of the collection module 11 of the obtaining unit 10, for example, after the user completes a certain number of exercises using the exercise body 2000, the exercise intensity exercise analysis module 21 may analyze whether the current exercise intensity has a beneficial effect on the physical state of the user according to the heart rate of the user, and if the user does not have too large a change in the central rate during the completion of the current exercise process, the exercise intensity exercise analysis module 21 may obtain an analysis result that the user can completely adapt to the current exercise intensity, and may even increase the exercise intensity. Or, the exercise intensity exercise analysis module 21 analyzes the data acquired by the equipment data acquisition module 111 of the acquisition module 11 to find that the movement trajectory of the exercise body 2000 is maintained at the same frequency, for example, the dumbbell is lifted to the same height at the same time interval during the process of lifting up the dumbbell, and the exercise intensity exercise analysis module 21 obtains an analysis result that the user is completely adapted to the current exercise intensity. Alternatively, the exercise intensity exercise analysis module 21 analyzes the current exercise intensity according to the data collected by the equipment data collection module 111 and the user physical state data collection module 112 of the collection module 11.
Further, the generation module 22 includes an exercise result generation module 221 and an exercise guidance generation module 222, wherein the exercise result generation module 221 and the exercise guidance generation module 222 are respectively communicably connected to the exercise analysis module 21.
The exercise result generation module 221 may also be communicatively connected to the acquisition module 11, and the exercise result generation module 221 may form an exercise result for the exercise of the user, where the exercise result may include, but is not limited to, exercise duration, exercise frequency, and heat consumed by the exercise, so that the user has a more intuitive sense of the exercise result.
The exercise result may further include a comparison result, wherein the comparison result is that the user is compared with other users who have performed the same exercise to compare the exercise frequency and exercise intensity of the user to urge the user to keep exercising.
The exercise guidance generation module 222 may also be communicatively connected to the acquisition module 11, and the exercise guidance generation module 222 includes an exercise posture guidance generation module 2221 and an exercise plan guidance generation module 2222, wherein the exercise posture guidance generation module 2221 and the exercise plan guidance generation module 2222 are communicatively connected to the exercise analysis module 21, respectively. The analysis result obtained at the exercise criterion degree exercise analysis module 211 of the exercise analysis module 21 is that the user does not adopt a standard exercise posture, and the exercise posture guidance generation module 2221 will generate an exercise posture suggestion to prompt the user to adopt a correct exercise posture. Based on an analysis result of the matching exercise analysis module 212 of the exercise analysis module 21, the exercise program guide generation module 2222 will provide an exercise program under the guidance of which the user performs more scientific and healthy exercise.
It is worth mentioning that the standard exercise gesture generated by the exercise gesture guidance generation module 2221 may be presented to the user through the smart detection hardware 1000 located at the user, either by way of text, image or video. When the display screen 1005 of the smart detection hardware 1000 is a 3D display screen, the display screen 1005 may project a standard exercise gesture for the user to learn.
The standard exercise gestures generated by the exercise gesture guidance generation module 2221 may also be presented to the user through the smart detection hardware 1000 located at the fitness entity 2000. The standard exercise gesture generated by the exercise gesture guidance generation module 2221 may also be displayed to the user through other smart devices, such as an electronic device, a mobile phone, a smart bracelet, and the like carried by the user.
The exercise program generated by the exercise program guidance generation module 2222 may be presented to the user by the smart detection hardware 1000 located at the user, either by text, image, or video. When the display screen 1005 of the smart detection hardware 1000 is a 3D display screen, the display screen 1005 may project an exercise program for a user to exercise according to the exercise program.
The exercise program generated by the exercise program guidance generation module 2222 may also be presented to the user through the smart detection hardware 1000 located at the fitness entity 2000. The exercise plan generated by the exercise plan guidance generation module 2222 may also be presented to the user through other smart devices, such as an electronic device, a mobile phone, a smart bracelet, and the like carried by the user.
The exercise criterion degree exercise analysis module 211, the matching exercise analysis module 212, the exercise pattern matching exercise analysis module 2121 and the exercise intensity matching exercise analysis module 2122 of the matching exercise analysis module 212, the exercise result generation module 221, the exercise guidance generation module 222, the exercise posture guidance generation module 2221, and the exercise plan guidance generation module 2222 of the generation module 22 are communicably connected to the storage module 23, respectively.
The obtaining unit 10 further comprises a user interface 12, the managing unit 20 further comprises an account management module 24, wherein the user structure and the account management module 24 are respectively communicatively connected to the storage module 23. A user account associated with a user is stored in the storage module 23, and the account management module 24 is stored in the user account in the storage module 23. The user interface 12 receives the registration information of the user by externally connecting an interactive device to form the user account, and stores the user account in the storage module 23 and manages the user account through the account management module 24. The user interface 12 may also receive login information of the user by externally connecting the interactive device to enable the account management module 24 to retrieve the user account associated with the user from the storage module 23. It is worth mentioning that the interaction device can be, but is not limited to, a smart phone, a makeup computer, the intelligent fitness device 1, an intelligent bracelet and the like.
The user interface 12 further comprises a personal user interface 121 and a professional interface 122, wherein the personal user interface 121 and the storage module 23 are communicatively connected to each other, so that the personal user interface 121 can receive the registration information of the user or the login information of the user by means of the external interactive device. For example, the user may use the interactive device to scan a code or otherwise identify a particular pattern to cause the user interface 12 to receive the user's login information.
The professional interface 122 is communicatively connected to the generating module 22 and the interactive module, respectively, wherein the professional interface 122 can obtain the health guidance from a professional by externally connecting the interactive device.
Specifically, when a user exercises using the intelligent fitness apparatus 1, the acquisition module 11 can acquire exercise information about the user by being communicably connected to the intelligent fitness apparatus 1, the exercise analysis module 21 can obtain the exercise information about the user from the acquisition module 11 and derive a physical status of the user, the exercise result generation module 221 of the generation module 22 generates a suggestion policy based on the physical status of the user analyzed by the exercise analysis module 21, the exercise guidance generation module 222 of the generation module 22 generates exercise guidance corresponding to the user by looking up expertise corresponding to the user's exercise from the outside or from an exercise database stored in the storage module 23 based on the suggestion policy, and at this time, a professional can obtain the exercise guidance through the interaction means connected to the user interface 12, the professional can then decide whether the exercise guidance is suitable for the user in combination with his own experience. If the professional judges that the exercise guidance given by the fitness management system 100 is suitable for the user in combination with his or her own experience, the interaction module of the management system will directly push the exercise guidance to the user, and if the professional judges that the exercise guidance given by the fitness management system 100 is not suitable for the user in combination with his or her own experience, the professional may give the exercise guidance again according to the exercise state and physical state of the user, in such a way that the exercise guidance is as suitable for the user as possible.
In other words, by the management system, the user can obtain the exercise guidance not only from the fitness management system 100 but also from a professional, and the user is not limited by time and place when obtaining the exercise guidance from the professional through the management system, in such a way that not only the cost of communication between the user and the professional is reduced, but also the guidance for the professional is very advantageous, and the professional can establish a guidance relationship with a plurality of users on line at the same time.
The collection module 11 is communicatively connected to the storage module 23 so that the collection module 11 can store the collected exercise information of the user, including the information from the intelligent fitness device 1 and the physical state information of the user, in the storage module 23 to form a historical exercise information about the user, and subsequently, the exercise pattern guidance generation module 22 can generate an exercise guidance based on the exercise information about the user collected by the collection module 11 and the historical exercise information stored in the storage module 23, in such a way that the management system can track the exercise of the user for a long period of time to facilitate more accurately grasping the exercise state and the physical state of the user.
It will be appreciated that the generating module 22 can provide not only exercise guidance, but also relevant diet and lifestyle guidance to facilitate better exercise performance for the user.
The exercise regimen instruction generation module 22 can store the exercise program in the storage module 23 to form a historical exercise program, and subsequently the exercise regimen instruction generation module 22 can continuously adjust the exercise program according to the new exercise information about the user collected by the collection module 11. In this way, the management system can help the user to achieve better results during the exercise.
Further, the generating module 22 includes a ranking generating module 223, wherein the ranking generating module 223 is communicatively connected to the exercise analyzing module 21, the exercise analyzing module 21 can obtain a completion degree of an action and a completion degree of an entire exercise related to the user exercise based on the exercise data collected by the collecting module 11, and the ranking generating module 223 can compare the parameters of the user with other users who have performed the same exercise to obtain a ranking. The ranking generation module 223 is communicatively connected to the interaction unit 30 to be delivered to the user through the interaction unit 30.
The management unit 20 further comprises a grouping module 25, wherein the grouping module 25 is communicatively connected to the exercise analysis module 21 and the acquisition module 11. The grouping module 25 is capable of grouping users who exercise using the intelligent fitness apparatus 1.
The generation module 22 includes a grouping policy generation module 224, wherein the grouping policy generation module 224 is communicatively coupled to the exercise analysis module 21. The grouping strategy generation module 224 generates a grouping strategy according to an exercise analysis result about the user obtained by the exercise analysis module 21, wherein the grouping module 25 groups the users using the intelligent fitness apparatus 1 based on the grouping strategy to form at least one user group, wherein the user group includes at least one user. The grouping policy generation module 224 may generate the grouping policy as a grouping criterion, such as grouping according to the exercise level of the user or grouping according to the exercise time of the user. Of course, it should be understood that the above examples are merely illustrative and do not limit the scope and content of the fitness management system 100 of the present invention.
The management unit 20 may further comprise a group management module 26, wherein the group management module 26 may manage for each of the user groups. The group management module 26 is communicably connected to the grouping module 25 and the generation module 22, respectively. The group management module 26 is capable of managing each user within the user group.
For example, where users within a user group are all at the same exercise level, the generation module 22 provides the same exercise program, which may be uniformly administered to each user within the user group via the group management module 26.
Of course, it is also possible to manage each user in the same user group separately by means of the group management module 26 to provide personalized exercise programs or exercise advice for the respective status.
Further, the group management module 26 may include a user group management module 261, where the user group management module 261 is used to assist the user in managing his or her activities in the group, and if so, selecting to join or actively quit some group. For example, users in the same group management module 26 may make periodic exercise checks via the user group management module 261 to effectively supervise their exercises.
The group management module 26 may include an expert group management module 262, wherein the expert group management module 262 is used to assist experts in managing the entire group, managing users within the group if the group is established according to certain criteria, periodically issuing exercise programs, etc. The user group management module 261 and the expert group management module 262 are communicably connected to the grouping module 25 and the generation module 22, respectively.
The obtaining unit 10 further includes a detecting module 13, wherein the detecting module 13 is configured to detect information of the intelligent fitness device 1, for example, the intelligent fitness device 1 may provide a two-dimensional code identifier to provide identity information. The information of the intelligent exercise device 1 that can be detected by the detection module 13 includes, but is not limited to, hardware information, software information, production information, factory information, function information, and the like, or a combination thereof.
The management unit 20 further comprises a device analysis module 27, wherein the device analysis module 27 is communicatively connected to the acquisition module 11 of the acquisition unit 10, wherein the acquisition module 11 is communicatively connected to the device analysis module 27, and the device analysis module 27 is capable of analyzing the information about the intelligent fitness apparatus 1 detected by the detection module 13 to determine whether the intelligent fitness apparatus 1 is suitable for use by the user.
The device analysis module 27 can be communicatively connected to the generation module 22. Specifically, the device analysis module 27 is communicatively connected to the exercise result generation module 221 and the exercise guidance generation module 222, and the device analysis module 27 can analyze whether the current intelligent fitness apparatus 1 matches the current physical state of the user or the current exercise plan of the user.
In other embodiments of the present invention, device analysis module 27 can be communicatively coupled to storage module 23 to analyze whether the current intelligent exercise device 1 matches the user based on the user's historical exercise program stored by storage module 23.
It will be appreciated that the device analysis module 27 can be communicatively coupled to the account management module 24 to obtain personal information about the user or historical workout information. The user can also input personal information through the interaction unit 30. The device analysis module 27 is communicatively connected to the interaction unit 30.
The generating module 22 further comprises a pair generating module 225, wherein the pair generating module 225 is configured to generate a pair result regarding the intelligent fitness apparatus 1 and the user, the pair generating module 225 is communicatively connected to the device analyzing module 27 and the interaction unit 30, and when the pair result of the pair generating module 225 is that the intelligent fitness apparatus 1 and the user do not match currently, the interaction unit 30 outputs the pair result and prompts the user to replace the intelligent fitness apparatus 1. When the pairing result of the pairing generation module 225 is that the smart fitness device 1 and the user are currently matched, the interaction unit 30 outputs the pairing result and may prompt the user to start exercise.
The interaction unit 30 may be used for the user to interact with and send a prompt to the user.
For example, under the action of an exercise instruction of the fitness management system 100, a user needs to perform exercise by using a bungee cord with a certain elasticity, the elasticity of the bungee cord collected by the detection module 13 is smaller than the elasticity requirement specified in the exercise instruction, and the interaction unit 30 can prompt the user to replace the intelligent fitness device 1 according to the data detected by the detection module 13.
It is worth mentioning that the intelligent fitness device 1 is capable of providing at least one intelligent detection hardware 1000 for detecting the physical status data of the user.
The fitness management system 100 is communicatively connected to the intelligent fitness device 1 and prompts for the manner of installation and the location of installation during installation of the intelligent detection hardware 1000 to the user.
For example, when the intelligent exercise device 1 is a dumbbell, after the obtaining unit 10 of the exercise management system 100 collects the information of the intelligent exercise device 1, the device analysis module 27 identifies the type of the intelligent exercise device 1 and sends an instruction to the interaction unit, and the interaction unit prompts the user to install the intelligent detection hardware 1000 at the arm position to detect the muscle current at the arm position.
The obtaining unit 10 may be an intelligent device carried by the user, for example, an intelligent bracelet with a camera, through which information collection is completed for the intelligent fitness device 1. The interaction unit 30 may also be integrated or partially integrated into the smart band to issue voice prompts to the user regarding the installation location of the smart detection hardware 1000.
Further, for the user, when the user exercises with the same intelligent fitness device 1, the exercise positions are different due to different exercise postures, for example, a dumbbell is still taken as an example, and when exercise postures such as dumbbell bench press and oblique bird climbing are adopted, the chest of the user is mainly exercised. When the exercise posture of the dumbbell rowing machine is adopted, exercise is mainly performed on the back of a user. When exercise postures such as dumbbell pushing and dumbbell shoulder shrugging are adopted, exercise is mainly performed on the shoulders of a user. When exercise postures such as alternate dumbbell bending and oblique dumbbell bending are adopted, the exercise effect on biceps of a user is mainly achieved. When the arm flexion and extension, single-arm neck posterior arm flexion and extension and other exercise postures are adopted, the exercise effect on the triceps of the user is mainly achieved. When exercise postures such as the wrist of the dumbbell is bent and lifted by holding the dumbbell reversely, the single bell rotates in the single bell, the arms of the user mainly correspond to the exercise postures, and the exercise postures are achieved. When the exercise posture of the dumbbell which is bent and stretched at the side is adopted, the exercise effect is mainly played on the abdomen of the user. When the exercise posture of lifting the heel by the dumbbell is adopted, the exercise effect is mainly played for the legs of the user.
The fitness management system 100 further comprises a setting unit 40, wherein the setting unit 40 is communicatively connected to the obtaining unit 1010, the management unit 20 and the interaction unit 30, and the setting module 28 provides a user with a preset setting for the exercise process, so that the management unit 20 can give better guidance to the whole exercise process, for example, through the setting unit 40, the user can preset the gesture to be exercised, so that the management unit 20 can analyze the user more accurately.
It is understood that the fitness management system 100 can not only guide the user in exercising, indicate the improper posture of the user during exercising, but also plan a more scientific exercise pattern for the user after exercising.
Further, the exercise management system 100 can also guide the user to position the smart detection hardware 1000 at the appropriate location on at least one exercise device. For a user, the intelligent detection hardware 1000 may be the exercise device itself, or may be the user itself, the type of the intelligent detection hardware 1000 is different, the data that can be collected is different, the user may carry the intelligent detection hardware 1000 by himself to exercise in a gymnasium, and a better exercise effect is obtained with the assistance of the intelligent detection hardware 1000.
The analysis module 21 of the management unit 20 further includes a location analysis module 213, and the generation module 22 further includes an installation suggestion generation module 226, wherein the location analysis module 213 is communicatively connected to the detection module 13 of the acquisition unit 1010, and the installation suggestion generation module 226 is communicatively connected to the location classification module 213. The location analyzing module 213 performs an analysis on the exercise device and the exercise body based on the collected information of the detecting module 13 to obtain a suitable detection location, and the installation suggestion generating module 226 generates an installation suggestion according to an analysis result of the location analyzing module 213 and provides the installation suggestion to the user so that the user can install the smart detection hardware 1000 at a suitable location under the guidance of the installation suggestion, thereby facilitating more accurate collection of the exercise information of the user. The installation suggestion generation module 226 may be communicatively connected to the interaction unit 30 to feed back the installation suggestions to the user through the interaction unit 30.
The position analysis module 213 may be communicably connected to the setting unit 40 to obtain exercise information of the user based on the setting unit 40, because the user may still adopt different exercise postures for the same device, and the portions to be detected may not be the same.
It is understood that the location analysis module 213 may analyze the installation location of the equipment or the installation location of the user. In order to better obtain the exercise information of the user, the intelligent detection hardware 1000 may be disposed on not only the exercise body, but also various parts of the user's body, or the user's underwear, or the wearing article.
Specifically, the detection module 13 of the acquisition unit 1010 obtains device information about the exercise device, and the management unit 20
According to an aspect of the present invention, the present invention further provides an exercise guidance method based on the intelligent fitness device 1, wherein the exercise guidance method comprises the steps of:
(A) obtaining motion information of a user through the intelligent fitness device 1;
(B) analyzing the motion information of the user to judge whether the user needs guidance;
(C) if yes, generating a motion guide; and
(D) providing the motion guidance to a user.
In some embodiments of the present invention, before the step (a), further comprising the steps of:
collecting information of the intelligent fitness device 1;
identifying the intelligent fitness device 1; and
an association is established between the intelligent fitness device 1 and the user.
In some embodiments of the present invention, before the step (a), further comprising the steps of:
collecting information of the intelligent fitness device 1;
judging whether the intelligent fitness device 1 meets the current requirements of the user; and
if yes, matching the intelligent fitness device 1 with a user; if not, a replacement prompt is sent.
In some embodiments of the present invention, the physical status information of a user is paired according to the collected information of the intelligent fitness device 1.
In some embodiments of the present invention, a user's historical exercise information is matched based on the information collected from the intelligent fitness device 1.
In some embodiments of the present invention, exercise program information of a user is matched based on the collected information of the intelligent fitness device 1.
In some embodiments of the invention, the exercise information includes a user exercise information and a user physical state information.
In some embodiments of the present invention, before the step (C), the exercise guidance method further comprises the steps of:
judging whether a motion posture of the user meets the standard or not; and
if not, a standard gesture is generated as the motion guidance.
According to some embodiments of the invention, before the step (C), the exercise guidance method further comprises the steps of:
judging whether a motion mode of the user accords with a body state of the user; and
if not, a movement guide is generated.
According to some embodiments of the invention, before the step (C), the exercise guidance method further comprises the steps of:
judging whether the current motion mode is proper or not according to the physical state data of the user;
if the body state data of the user is developing in a downward adverse direction in the current movement mode, generating a suggestion for weakening the current movement mode; generating a recommendation to increase exercise intensity if the physical state data of the user is substantially maintained in the current exercise mode.
According to some embodiments of the present invention, the movement guidance is generated from a movement database of the storage module 23.
According to some embodiments of the invention, the athletic guidance is generated by at least one professional.
According to some embodiments of the present invention, the motion guidance is generated in the motion database of the storage module 23 based on a historical motion data.
Referring to fig. 7, the fitness management system 100 can be communicatively connected to the intelligent fitness device 1 via, but not limited to, a cloud or/and the internet, so as to manage the intelligent fitness device 1 by the fitness management system 100. In this manner, when a user uses different types of intelligent exercise devices 1 to perform exercises, the fitness management system 100 can collect and analyze data of the intelligent exercise devices 1 to more fully guide the user in performing exercises.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are given by way of example only and are not limiting of the invention. The objects of the invention have been fully and effectively accomplished. The functional and structural principles of the present invention have been shown and described in the examples, and any variations or modifications of the embodiments of the present invention may be made without departing from the principles.
Claims (10)
1. An intelligent fitness device, comprising:
a body-building body; and
at least one intelligent detection hardware, wherein the intelligent detection hardware is arranged on the body-building body.
2. The intelligent fitness device of claim 1, wherein the smart detection hardware is removably connected to the fitness body.
3. The intelligent fitness device of claim 2, wherein the smart detection hardware is adhesively connected to the fitness body.
4. The intelligent fitness device of claim 2, wherein the intelligent detection hardware is magnetically attached to the fitness body.
5. The intelligent fitness device of any one of claims 1 to 4, wherein the smart detection hardware comprises at least one sensor, at least one communicator and a power mechanism, wherein the communicator is communicatively coupled to the sensor, wherein the power mechanism is electrically coupleable to the sensor.
6. An intelligent detection hardware is applied to a body-building device and is characterized by comprising:
at least one sensor;
at least one communicator; and
a power mechanism, wherein the sensor is communicatively coupled to the sensor, the power mechanism being electrically coupleable to the communicator.
7. The smart detection hardware as recited in claim 6, wherein the smart detection hardware is a ring-shaped structure and the smart detection hardware is capable of being docked to the exercise device.
8. The smart detection hardware as recited in claim 6, wherein the smart detection hardware is a strap structure, the smart detection hardware capable of being connected to the exercise device.
9. An exercise guidance method based on at least one intelligent fitness device, comprising the steps of:
(A) obtaining motion information of a user through the intelligent fitness device;
(B) analyzing the motion information of the user to judge whether the user needs guidance;
(C) if yes, generating a motion guide; and
(D) providing the motion guidance to a user.
10. The exercise guidance method of claim 9, wherein prior to the step (a), further comprising the steps of:
collecting information of the intelligent fitness device;
judging whether the intelligent fitness device meets the current requirement of a user; and
if so, matching the intelligent fitness device with the user; if not, a replacement prompt is sent.
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Application publication date: 20200310 |