Smart fitness device, system and method

Abstract

A smart fitness device, a system and a method are provided. The smart fitness device includes an attachment structure, a microcontroller; a first sensor, a networking module, and a battery. The attachment structure is configured to be attached to a fitness equipment. The first sensor is configured to be controlled by the microcontroller to obtain a movement state of the fitness equipment. The networking module is configured to be controlled by the microcontroller to establish a network connection with an external device. The battery is configured to power a circuit constructed by the microcontroller.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application claims priority benefits to Chinese Patent Application No. 2025200989421, filed on Jan. 15, 2025, and Chinese Patent Application No. 2025100176261, filed on Jan. 4, 2025, the contents of which are incorporated herein by reference.TECHNICAL FIELD

[0002] The present disclosure relates to a smart fitness device, a system and a method.BACKGROUND

[0003] With the development of the fitness industry, more and more fitness enthusiasts are seeking personalized and intelligent fitness experiences.SUMMARY

[0004] A first aspect of the present disclosure provides a smart fitness device, which includes an attachment structure, configured to be attached to a fitness equipment; a microcontroller; a first sensor, configured to be controlled by the microcontroller to obtain a movement state of the fitness equipment; a networking module, configured to be controlled by the microcontroller to establish a network connection with an external device; and a battery, configured to supply power to a circuit constructed by the microcontroller.

[0005] A second aspect of the present disclosure provides a smart fitness system, which includes a smart fitness device and a data terminal. The smart fitness device and the data terminal are connected via a network, and the smart fitness device is configured to send a data signal to the data terminal. The smart fitness device includes: an attachment structure, configured to be attached to a fitness equipment; a microcontroller, a first sensor, configured to be controlled by the microcontroller to obtain a movement state of the fitness equipment; a networking module, configured to be controlled by the microcontroller to establish a network connection with an external device; and a battery, configured to supply power to a circuit constructed by the microcontroller.

[0006] A third aspect of the present disclosure provides an intelligent fitness method, which is applied to a smart fitness system. The smart fitness system includes a smart fitness device and a data terminal, the smart fitness device and the data terminal are connected via a network, and the smart fitness device is configured to send a data signal to the data terminal. The smart fitness device includes: an attachment structure, configured to be attached to a fitness equipment; a microcontroller, a first sensor, configured to be controlled by the microcontroller to obtain a movement state of the fitness equipment; a networking module, configured to establish a network connection between the microcontroller and an external device; and a battery, configured to supply power to a circuit constructed by the microcontroller. The method includes: acquiring a start signal, the start signal being triggered in response to the smart fitness device being attached to the fitness equipment; obtaining, by the smart fitness device, a movement state of the fitness equipment; obtaining a movement trajectory according to the movement state, and analyzing the movement trajectory to confirm standardization of a movement.BRIEF DESCRIPTION OF DRAWINGS

[0007] The drawings constituting a part of the present disclosure are intended to provide a further understanding of the present disclosure. The embodiments of the present disclosure and their descriptions are intended for explaining and do not constitute improper limitations on the present disclosure.

[0008] FIG. 1 is a schematic diagram of a smart fitness system in accordance with the embodiments of the present disclosure.

[0009] FIG. 2 is another schematic diagram of a smart fitness system in accordance with the embodiments of the present disclosure.

[0010] FIG. 3 is a schematic diagram of a smart fitness device in accordance with the embodiments of the present disclosure.

[0011] FIG. 4 is another schematic diagram of a smart fitness device in accordance with the embodiments of the present disclosure.

[0012] FIG. 5 is a perspective view of a smart fitness device in accordance with the embodiments of the present disclosure.

[0013] FIG. 6 is a front view of a second side of a smart fitness device in accordance with the embodiments of the present disclosure.

[0014] FIG. 7 is another perspective view of a smart fitness devices in accordance with the embodiments of the present disclosure.

[0015] FIGS. 8 to 10 are perspective views of three half-ring structures in accordance with the embodiments of the present disclosure.

[0016] FIG. 11 is a front view of an outer wall of a smart fitness device in accordance with the embodiments of the present disclosure.

[0017] FIG. 12 is a sectional view taken along line AA of FIG. 11.

[0018] FIG. 13 is a sectional view of the half-ring structure in FIG. 12.

[0019] FIG. 14 is a top view of a first surface in accordance with the embodiments of the present disclosure.

[0020] FIGS. 15 and 16 are two circuit block diagrams in accordance with the embodiments of the present disclosure.

[0021] FIGS. 17 to 23 illustrate some application scenarios of a smart fitness device in accordance with the embodiments of the present disclosure.

[0022] FIG. 24 is a flow chart of a smart fitness system in accordance with the embodiments of the present disclosure.

[0023] FIG. 25 is a flow chart of step S13 in the flow chart of FIG. 24.

[0024] FIG. 26 is a flow chart of a smart fitness method in accordance with the embodiments of the present disclosure.

[0025] FIG. 27 is another flow chart of a smart fitness method in accordance with the embodiments of the present disclosure.

[0026] FIG. 28 is a flow chart of the training method in FIG. 27.DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] The present disclosure may be described in detail below with reference to the accompanying drawings and in conjunction with various embodiments. Each example is provided to explain but not limit the present disclosure. In fact, it may be clear to those of ordinary skill that modifications and variations may be made without departing from the scope or spirit of the present disclosure. For example, a feature shown or described as part of some embodiments may be used according to some embodiments to produce yet some embodiments. Therefore, it is intended that the present disclosure includes such modifications and variations within the scope of the appended claims and their equivalents.

[0028] In the description of the present disclosure, the terms “longitudinal”, “lateral”, “upper”, “lower”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom” and the like indicate the orientational or positional relationship based on the orientational or positional relationship illustrated in the drawings, which is only for the convenience of describing and eliminates the require the present disclosure to be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present disclosure. The terms “connected”, “connecting” and “arranged” used in the present disclosure should be understood in a broad sense. For example, it may be a fixed connection or a detachable connection; it may be directly connected or indirectly connected through an intermediate component; it may also be a wired electrical junction, a radio connection, or a wireless signal connection. For those of ordinary skill in the art, the specific meanings of the above terms may be understood according to the specific circumstances.

[0029] One or more examples of the present disclosure are illustrated in the attached drawings. Numbers and letter signs are used in the detailed description to refer to features in the drawings. Similar signs in the drawings and descriptions have been configured to refer to similar parts of the present disclosure. As used herein, the terms “first”, “second” and “third” are used interchangeably to distinguish one component from another and are not intended to indicate the position or importance of individual components.

[0030] As shown in FIG. 1, the embodiments of the present disclosure provide a smart fitness system, which includes a smart fitness device 1 having a hardware structure. The smart fitness device 1 may be selectively attached to a fitness equipment, and the smart fitness device 1 may actively obtain an attached state.

[0031] The smart fitness device 1 is provided with a sensor for monitoring the attached state. The sensor may include one or more of a magnetometer sensor, a pressure sensor, a contact electrode induction sensor, an infrared sensor, an ultrasonic sensor, and a position sensor. Alternatively, the sensor may be one or more of a touch switch, a proximity switch, and a photoelectric switch. No specific restrictions are made to the sensor.

[0032] The attachment method of the smart fitness device 1 to the fitness equipment includes one or more of adsorbing (magnetic, vacuum, static electricity), binding, hanging, and clamping. No specific restrictions are made to the attachment method.

[0033] The smart fitness device 1 may obtain a movement state of the fitness equipment during use. The smart fitness device 1 is provided with a data acquisition sensor. The data acquisition sensor includes one or more of an accelerometer, a gyroscope, and a magnetometer. No specific restrictions are made to the data acquisition sensor.

[0034] As shown in FIG. 2, the smart fitness device 1 may establish a connection with a data terminal 2 and send a collected movement state to the data terminal 2. The data terminal 2 includes software and / or hardware. The data terminal 2 may be configured on an operating device, such as a smart phone, a computer, a tablet, etc., with no specific restrictions. The smart fitness device 1 may establish a connection with the data terminal 2 through wireless data transmission, such as Bluetooth, WIFI, mobile communication technology, Star Flash, etc., and no specific restrictions are made here. The smart fitness device 1 is provided with a corresponding wireless networking module, so as to establish a connection with the data terminal 2 and realize data transmission.

[0035] The smart fitness device 1 has a built-in battery for normal operation of the components therein, and the type of battery is not specifically limited here.

[0036] In some embodiments, a smart fitness system includes a smart fitness device 1 and a data terminal 2. After the smart fitness device 1 is turned on, it actively establishes a connection with the data terminal 2. Here, the data terminal 2 is configured on a mobile phone in the form of a terminal APP (application). After the smart fitness device 1 and the mobile phone are paired through Bluetooth, a data connection is established. A user may select a fitness equipment as needed, and then attach the smart fitness device 1 to the fitness equipment. The sensor of the smart fitness device 1 may monitor the attachment status. Upon receiving a monitoring signal indicating that the attachment is complete, the smart fitness device 1 sends a completion signal to the mobile phone.

[0037] The terminal APP is configured to manage the accessed smart fitness device 1, obtain the movement state collected by the smart fitness device 1, analyze the movement state, store the movement state, etc. After receiving the completion signal from the smart fitness device 1, the terminal APP displays an interface for a user to enter the type, model, and various parameters of the fitness equipment to be matched.

[0038] Taking one fitness equipment as an example, a user is going to taking dumbbells for fitness training (the following embodiments are all explained with dumbbells as examples). The fitness equipment type entered by the user on the interface popped up by the terminal APP is dumbbells, the model is fixed weight, and the weight value is 2 Kg. Some prompt information is also given, for example, a “ready to start” interface may be popped up, giving the user a countdown time to get ready. When the “ready to start” interface ends, the training begins.

[0039] When the user starts training, the smart fitness device 1 collects the movement state in real time and sends the movement state to the data terminal 2 synchronously. The terminal APP analyzes the movement state and confirms the standardization of the movements. The standardization of the movements may be obtained through a comprehensive analysis of multiple technical parameters. The standards to be considered for each fitness equipment are not exactly the same, allowing differences in the corresponding technical parameters. Commonly adopted technical parameters include speed, amplitude, time, position, proficiency, etc. In addition, standardization may also be optionally combined with a training goal, such as fat loss, muscle gain, endurance, etc. The training goal is also the basic parameter for standardization judgment. In other words, other technical indicators and execution standards may be set in combination with the training goal. In addition, standardization may also be optionally combined with a training scene, such as home, gym, outdoor, etc., which is not limited here.

[0040] In some embodiments, the movement state is composed of a movement signal, and the movements signal includes an acceleration signal; and / or an angular movement signal; and / or a fusion signal of an acceleration signal and an angular movement signal.

[0041] The terminal APP constructs a movement trajectory based on the acquired movement state, and then matches the movement trajectory with a standard movement library. If the recognition is successful, the movement trajectory is recorded and a movement success information is fed back to the smart fitness device 1. If the recognition fails, the movement trajectory is recorded and a movement failure information is fed back to the smart fitness device 1.

[0042] In some embodiments, the smart fitness device 1 makes corresponding interactive responses based on the feedback information received from the data terminal 2. The interactive response includes one or more of light, sound, and vibration, and there is no specific restriction here. The user understands the performance of the training and make appropriate adjustments. For example, the smart fitness device 1 emits a green light when receiving the movement success information, and emits a flashing red light if receiving the movement failure information. The user may distinguish whether the movement is standard according to the color of the light, so as to adjust his / her movement and complete the training.

[0043] In addition, in some embodiments, the user may choose to stop training after receiving multiple prompts of movement failure information. The historical records are replayed on the data terminal 2 for understanding the reasons of the failed movements. Moreover, the system also provides standard movements for the user to make correct adjustments.

[0044] In some embodiments, a deep learning model such as a convolutional neural network (CNN) model and a long short-term memory (LSTM) model may be constructed to determine whether the movement meet the standard by analyzing and processing the movement trajectory. The deep learning model may be configured in the data terminal 2. In this way, a lightweight deep learning model is selected to reduce the hardware requirements of the data terminal 2.

[0045] In addition, as shown in FIG. 2, in some embodiments, the smart fitness system is also configured with a server 3 for movement recognition, which may be optionally set at a remote end. The smart fitness device 1 and / or the data terminal 2 establishes a connection with the server 3 through a network and realizes data transmission. The server 3 identifies the received movement state and / or movement trajectory, and feeds back the identification result to the smart fitness device 1 and / or the data terminal 2. The server 3 is optionally configured with a higher-level deep learning model. Compared with the data terminal 2, the server 3 has stronger computing power to process the training data uploaded by multiple users, and also stores the data. By aggregating the training data of different users, the server 3 may further modify the movement recognition, train the deep learning model, and improve the overall performance of the system.

[0046] For the user's movements during training, the data terminal 2 gives standard movements according to the fitness equipment type, training goals, and personal physical fitness, which may be watched by the user before starting the training. In some embodiments, the system helps the user standardize his / her movements based on historical records. For example, the system analyzes the user's movement trajectory and makes a comprehensive analysis, determines which movements are suitable for the user, and dynamically adjust the difficulty coefficient of the movements. There is no specific restriction here.

[0047] In some embodiments, some movements are usually reciprocating training, or understood as reciprocating execution of a movement. Usually, a movement has an initial position and an end position. Alternatively, a movement has an initial position, at least one intermediate position and an end position. Alternatively, a movement has an initial position, at least one intermediate position, with or without the end position. Alternatively, a movement has at least one intermediate position, one end position, with or without the initial position; or at least one intermediate position, with or without the initial position and the end position. The system matches the corresponding movements according to the selected equipment, training goals and personal physical fitness. The data terminal 2 obtains the data collected by the smart fitness device 1 in real time to construct a movement trajectory, analyzes the movement trajectory according to a necessary position required for a movement, and whether the movement is successful by determining whether the movement meets the necessary conditions. The trajectory characteristics of a single action may include linear, curved, or a multi-segmented form, without specific limitations.

[0048] The movement trajectory of each movement may be output as a waveform on a time axis. The waveform includes several peaks and valleys. The waveform may be segmented using peak segmentation, valley segmentation, or center point segmentation to form multiple segments, with each segment representing a single action trajectory. The segmentation method may be selected based on necessary positions required for the movements. The success of a single action trajectory may be determined through comparison, and optionally, the degree of error may also be selected.

[0049] In some embodiments, the necessary position is not a fixed value, but has a range with a tolerance. The movements within the position tolerance are understood as correct movements. The position tolerance may be dynamically adjusted or set to a fixed value according to the type of equipment, training goals, personal physical fitness, environment, etc.

[0050] Due to reasonable amplitude variations of the movements caused by differences among users, such as height, total arm length, upper arm length, forearm length, total leg length, thigh length, calf length, weight, age, gender, etc. Therefore, in some embodiments, the system requires the user to input personal physical information at the initial stage of use. Personal information is considered private, which the user may choose to enter. Moreover, the system optionally encrypts the recorded data, without displaying it in plain text. When analyzing the movement trajectory, the system incorporates the personal physical information for personality analysis to produce a more accurate result.

[0051] Moreover, the system may optionally give a personalized training plan based on the physical information. For example, the system may access an AI model, and may generate standard or relatively standard movement tutorials based on physical information, which may be presented to the user in the form of pictures, videos, voice, etc.

[0052] In some embodiments, the system scores the movements according to the acquired movement state and gives optimization suggestions based on the score. The user may intuitively assess the correctness of the movements based on score, allowing to quantify training effectiveness and adjust training goals according to the user's level of acceptance.

[0053] In some embodiments, the data terminal 2 may also access other data acquisition terminals, including wearable devices, image perception devices, environmental perception devices, etc. The data terminal 2 may integrate the data provided by the acquisition terminal for further comprehensive analysis. For example, the user's blood pressure, heart rate, respiratory rate, body temperature, etc. are integrated. The training goals are dynamically adjusted according to the results of the comprehensive analysis. For example, the user's fatigue level during training may be evaluated to adjust the training time, the training intensity, the interval duration of each group, the daily training goal, etc.

[0054] In some embodiments, the system may optionally or regularly generate a training report with charts and data comparisons to help the user to understand the effectiveness of training. The system may also give suggestions based on historical training records, including the user's strengths, weaknesses, and areas for improvement, etc. The system may identify aspects where the user excels, areas of disadvantage, and opportunities for enhancement, etc. The system may generate analysis reports, data reports, etc., which the user may share with coaches for further analysis.

[0055] In some embodiments, the system may also access a voice system, and the data terminal 2 and / or the smart fitness device 1 may send and receive voice content. The user may communicate with the system in real time via voice to understand the training status, which includes equipment selection, parameter settings, training goals, rest intervals, time management, and the completion of exercises, etc.

[0056] As shown in FIG. 3, the embodiments of the present disclosure propose a smart fitness device 1, which includes an attachment structure 11 for attaching to a fitness equipment.

[0057] During training, different fitness equipment may be selected in sequence based on the training plan to complete the training goal. When ready, the smart fitness device needs to be attached to a fitness equipment.

[0058] In some embodiments, the attachment structure 11 includes a belt structure, which is optionally configured with a magnet, and the belt structure is optionally tied to the fitness equipment or magnetically attracted to the fitness equipment.

[0059] The smart fitness device also includes a first sensor 122 for collecting a movement trajectory of the fitness equipment. The first sensor 122 includes one or more of an accelerometer, a gyroscope, and a magnetometer. No specific restrictions are imposed here. Once the training starts, the first sensor 122 obtains the movement data of the fitness equipment in real time.

[0060] The smart fitness device also includes a networking module 124 for establishing a network connection with a data terminal and / or a server 3 to achieve data transmission. The networking module 124 includes one or more of Bluetooth, WIFI, mobile communication technology, and Star Flash. No specific limitations are imposed here.

[0061] The smart fitness device also includes one or more processors 121, and a memory 125 and a power module 126 electrically connected to the processor(s) 121. The above-mentioned first sensor 122 and the networking module 124 are both electrically connected to the processor(s) 121. An adaptation circuit is arranged to connect the processor 121 to other electronic components. The power module 126 includes a disposable battery, a rechargeable battery, etc. No specific restrictions are made here.

[0062] In some embodiments, the smart fitness device includes a second sensor 123 for confirming an attachment status, and the second sensor 123 is electrically connected to the processor 121. The second sensor 123 includes one or more of a magnetometer sensor, a pressure sensor, a contact electrode induction sensor, an infrared sensor, an ultrasonic sensor, and a position sensor, and may also be one or more of a touch switch, a proximity switch, and a photoelectric switch. No specific restrictions are made here. The second sensor 123 is triggered when or after the smart fitness device 1 is attached to the fitness equipment. The smart fitness device 1 sends a trigger signal to the data terminal 2 to confirm one of the operations during the training process.

[0063] As shown in FIG. 4, in some embodiments, the smart fitness device includes a third sensor 127 for obtaining environmental information, and the third sensor 127 is electrically connected to the processor 121. The third sensor 127 may obtain one or more environmental information including temperature, humidity, air pressure, ambient light, and noise. There is no specific limitation here.

[0064] As shown in FIG. 4, in some embodiments, the smart fitness device includes a feedback module 128 for feedback of a movement status, and the feedback module 128 is electrically connected to the processor121. The feedback module 128 includes one or more of light, sound, and vibration, which is not specifically limited. The data terminal 2 or server 3 analyzes the movement status uploaded by the smart fitness device 1, and optionally feeds back the analysis results to the smart fitness device 1. The smart fitness device 1 responds accordingly to the feedback results so that the user may understand and adjust the training movements. Alternatively, different responses bring different experiences to the user, thus adjusting the atmosphere during training.

[0065] In some embodiments, the above sensors all include a low power consumption mode, which automatically reduces power consumption when the user is at rest or inactive, thereby extending the battery life of the device.

[0066] The embodiments of the present disclosure provide a smart fitness device 1, which includes a hardware structure. The smart fitness device may be attached to fitness equipment. The smart fitness device may obtain a movement state of the fitness equipment and an attachment state between the smart fitness device and the fitness equipment.

[0067] FIG. 5 is a perspective view of a smart fitness device in accordance with the embodiments of the present disclosure, and the smart fitness device includes two half-ring structures 100, and the two half-ring structures 100 may be combined into a circular ring structure 10. Each half-ring structure 100 has a first surface 1011 and a second surface 1012 arranged oppositely in an axial direction.

[0068] FIG. 6 is a front view structure of a second surface of a smart fitness device in accordance with the embodiments of the present disclosure.

[0069] FIG. 7 is another perspective view a smart fitness device in accordance with the embodiments of the present disclosure, and the smart fitness device includes two half-ring structures 100. The two half-ring structures 100 are regarded as a separated state of the circular ring structure 10. In some embodiments, FIG. 7 is understood as including two smart fitness devices, each of which includes a half-ring structure 100. Therefore, the smart fitness device is understood as a structure, such as a half-ring structure 100, a circular ring structure 10. The smart fitness device is understood as including one or more half-ring structures 100. No specific restrictions are made here.

[0070] The half-ring structure 100 shown in FIG. 4 to FIG. 7 is in a semi-circular ring shape. The half-ring structure 100 also includes an arc shape, a multi-segment arc shape, a multi-segment shape, etc., which are not specifically limited here. The two half-ring structures 100 may be combined to form the circular ring structure 10, and may also be combined to form an elliptical structure, a polygonal structure, etc., which are not specifically limited here. In addition, the half-ring structure 100 includes an inner wall 1021 and an outer wall 1022. Shapes of axial cross-sections of the inner wall 1021 and the outer wall 1022 are the same or different, which include the above-mentioned semi-circular ring shape, arc shape, multi-segment arc shape, multi-segment shape, etc., which are not specifically limited here. For example, the inner wall 1021 is a semi-circular ring shape, and the outer wall 1022 is in a multi-segment shape.

[0071] As shown in FIG. 4 to FIG. 7, the half-ring structure 100 includes a magnetic structure, which is configured to attach to a fitness equipment. During training, different fitness equipment may be selected in sequence according to a user's training plan to complete his / her training goal. When ready, the smart fitness device needs to be attached to the fitness equipment.

[0072] In some embodiments, as shown in FIG. 7, the magnetic attraction structure includes a plurality of first magnetic blocks 1031, and the plurality of first magnetic blocks 1031 are distributed on the second surface 1012, allowing the second surface 1012 of the smart fitness device to be magnetically attracted to the fitness equipment. In some embodiments, as shown in FIG. 8, if the magnetic attraction force of the first magnetic blocks 1031 is strong enough or too strong magnetic attraction is not required, the density of the first magnetic blocks 1031 on the second surface 1012 is reduced.

[0073] In some embodiments, as shown in FIG. 7, the magnetic attraction structure includes a plurality of second magnetic blocks 1032. The plurality of second magnetic blocks 1032 are distributed on the inner wall 1021 of the half-ring structure 100, giving the inner wall 1021 of the half-ring structure 100 a magnetic attraction function, and allowing the half-ring structure 100 to be sleeved and magnetically attracted to an outer wall of a columnar structure. The density of the second magnetic blocks 1032 on the inner wall 1021 may be set as required.

[0074] In some embodiments, as shown in FIG. 9, the plurality of first magnetic blocks 1031 are replaced by an arc-shaped first magnetic sheet 1041. In some embodiments, the plurality of second magnetic blocks 1032 are replaced by an arc-shaped second magnetic sheet 1042. The first magnetic sheet 1041 and / or the second magnetic sheet 1042 both realize the magnetic attraction function of the second surface 1012 and / or the inner wall 1021 of the half-ring structure 100. The mixed use of magnetic blocks and magnetic sheets is not excluded, and no specific restrictions are made here.

[0075] In some embodiments, as shown in FIG. 10, the magnetic attraction structure includes a magnetic strip 105. One side of the magnetic strip 105 is laid along the second surface 1012 of the half-ring structure 100, and another side of the magnetic strip 105 is laid along the inner wall 1021 of the half-ring structure 100, allowing the magnetic strip 105 to have the functions of the first magnetic sheet 1041 and the second magnetic sheet 1042. The first magnetic sheet 1041 and / or the second magnetic sheet 1042 may also be provided on the second surface 1012 of the half-ring structure 100 and / or the inner wall 1021.

[0076] In some embodiments, the magnetic attraction structure is provided on the second surface 1012 and / or the inner wall 1021. The second surface 1012 and the inner wall 1021 are not necessarily exposed. The magnetic attraction structure may also be provided on or proximal to an inner side of the second surface 1012 and / or the inner wall 1021 of the half-ring structure. For example, in some embodiments, the magnetic attraction structure is exposed on the surface of the smart fitness device. In other embodiments, the magnetic attraction structure is provided on the inner side of the smart fitness device, or an outer side of the magnetic attraction structure is covered with other materials, which may not only protect the magnetic attraction structure, but also make the overall smart fitness device more aesthetic.

[0077] In some embodiments, the smart fitness device includes two half-ring structures 100, the two half-ring structures 100 are respectively the first half-ring 100a and the second half-ring 100b, and the first half-ring 100a and the second half-ring 100b are combined to form a circular ring structure 10. In some embodiments, as shown in FIG. 7 to FIG. 10, two ends of the first half-ring 100a are provided with a first magnetic member 1033, and two ends of the second half-ring 100b are provided with a second magnetic member 1034. The first magnetic member 1033 and the second magnetic member 1034 are both magnets, and the magnetic poles of two opposite ends of the first magnetic member 1033 and the second magnetic member 1034 are opposite. Alternatively, one of the first magnetic member 1033 and the second magnetic member 1034 is a magnet, and the other one of the first magnetic member 1033 and the second magnetic member 1034 is a metal for being magnetically attracted. The metal for being magnetically attracted includes but is not limited to iron, cobalt, nickel and alloy. The first half-ring 100a and the second half-ring 100b may be combined into a circular ring structure 10 via magnetic attraction.

[0078] FIG. 11 is a front view of an outer wall of a smart fitness device in accordance with the embodiments of the present disclosure, FIG. 12 is a sectional view taken along line AA of FIG. 11, FIG. 13 is a sectional view of the half-ring structures in FIG. 12, and FIG. 14 is a perspective view of a first surface in accordance with the embodiments of the present disclosure.

[0079] FIG. 15 and FIG. 16 are two circuit block diagrams in accordance with the embodiments of the present disclosure.

[0080] As shown in FIG. 13 and FIG. 14, in some embodiments, the half-ring structure 100 is defined with at least one cavity. A circuit board 106 and a battery 107 are provided in the cavity, and the battery 107 is configured to power a circuit on the circuit board 106. A microcontroller 1061 is provided on the circuit board 106, and the microcontroller 1061 includes at least one processor and one or more memories.

[0081] A first sensor 1062 is provided on the circuit board 106 and configured for the microcontroller 1061 to obtain a movement state of the fitness equipment. The first sensor 1062 includes one or more of an accelerometer, a gyroscope, and a magnetometer. No specific restrictions are made here.

[0082] A networking module 1064 is provided on the circuit board 106 and configured for the microcontroller 1061 to connect to external devices. The networking module 1064 includes one or more of Bluetooth, WIFI, mobile communication technology, and Star Flash. No specific restrictions are made here.

[0083] The circuit board 106 also includes an adapter circuit, which connects the microcontroller 1061 to other electronic components.

[0084] As shown in FIG. 16, in some embodiments, a touch element 1063 is also provided on the circuit board 106, and the touch element 1063 is configured for the microcontroller 1061 to obtain an attachment state between the smart fitness device and the fitness equipment. The touch element 1063 includes one or more of a magnetometer sensor, a pressure sensor, a contact electrode induction sensor, an infrared sensor, an ultrasonic sensor, and a position sensor. The touch element 1063 may also be one or more of a touch switch, a proximity switch, and a photoelectric switch. No specific restrictions are imposed here. The microcontroller 1061 obtains the attachment state of the smart fitness device and the fitness equipment via the touch element 1063. When the smart fitness device is attached to the fitness equipment, the microcontroller 1061 sends a corresponding status signal through the networking module 1064. For example, as shown in FIG. 13, the inner wall 1021 of the half-ring structure 100 is provided with two touch elements 1063. When the half-ring structure 100 is sleeved and magnetically attracted on a fitness equipment with a columnar structure, the touch element 1063 is triggered and sends a trigger signal to the microcontroller 1061. The touch element 1063 may be a proximity switch, a touch switch, or other sensors, or switches.

[0085] As shown in FIG. 16, in some embodiments, the smart fitness device is further provided with a second sensor 1065, which is configured for the microcontroller 1061 to obtain environmental information. The second sensor 1065 may obtain one or more environmental information including temperature, humidity, air pressure, ambient light, and noise, etc. As shown in FIG. 14, in some embodiments, the second sensor 1065 is provided on the inner side of the first surface 1011 of the half-ring structure 100, and the environmental information may pass through the first surface 1011 and be detected by the second sensor 1065. For example, if the second sensor 1065 includes a noise sensor, a through hole is provided at a corresponding position of the first surface 1011, and external sound may be transmitted from the through hole and detected by the noise sensor. Similarly, the humidity sensor may also obtain the humidity of the environment through the through hole.

[0086] As shown in FIG. 16, in some embodiments, the smart fitness device is also provided with a switch key 109, and the switch key 109 is configured to control the on and off of the power supply circuit on the circuit board 106. As shown in FIG. 14, in some embodiments, the switch key 109 is provided on the first surface 1011 of the half-ring structure 100. The switch key 109 is one of the switch elements, and the switch element includes a touch switch, an electronic switch, a mechanical switch, etc., which is not specifically limited here.

[0087] As shown in FIG. 16, in some embodiments, the half-ring structure 100 also includes a feedback module, and the feedback module is configured for the microcontroller to feedback information to the outside world.

[0088] In some embodiments, as shown in FIG. 14, the feedback module includes an information indicator light 1081, which is disposed on the first surface 1011 of the half-ring structure 100. The information indicator light 1081 is configured for the microcontroller 1061 to feedback status information. The information indicator light 1081 includes one or more lamp beads, and the information indicator light 1081 conveys information through a light-emitting state. The light-emitting state includes one or more of flashing, color, sequence, speed, frequency, etc., without specific restriction here. The status information includes one or more of a power state, a networking state, a switch state, a movement state, an attachment state, etc., which is not specifically limited.

[0089] In some embodiments, as shown in FIG. 14, the feedback module includes a power indicator light 1082, which is disposed on the first surface 1011 of the half-ring structure 100. The power indicator light 1082 is configured for the microcontroller 1061 to feedback the power information of the battery 107. The power indicator light 1082 includes one or more lamp beads, and the power indicator light 1082 conveys information through a light-emitting state. The light-emitting state includes one or more of flashing, color, sequence, speed, frequency, etc., and there is no specific limitation here.

[0090] In addition to the feedback mode by light, in some embodiments, as shown in FIG. 13 and FIG. 14, the feedback module also includes one or more of electroacoustic elements and vibration elements, and there is no specific limitation here. For example, after the smart fitness device is attached to the fitness equipment, the smart fitness device may emit a sound through the speaker 1083 or vibrate for a few seconds through a vibration motor 1084 to prompt the user.

[0091] In the circuit, the microcontroller 1061 is electrically connected to the first sensor 1062, a networking module 1064, and a battery 107. In some embodiments, the microcontroller 1061 is also electrically connected to a touch element 1063, the switch key 109, the second sensor 1065, and the feedback module.

[0092] The smart fitness device disclosed in accordance with the embodiments of the present disclosure may be attached to different fitness equipment, and the application scenarios include but are not limited to the following FIG. 17 to FIG. 23.

[0093] FIG. 17 is a perspective view of an application scenario of a smart fitness device in accordance with the embodiments of the present disclosure, showing a LAT pulldown machine on which two half-ring structures 100 are placed. The two half-ring structures 100 are respectively sleeved and magnetically attracted to two handles of the fitness equipment, and the two half-rings may respectively collect the movement states of two sides of the fitness equipment.

[0094] FIG. 18 is a perspective view of an application scenario of a smart fitness device in accordance with the embodiments of the present disclosure, showing a barbell being attached with a half-ring structure 100 on both sides proximal to the bell plate. The two half-ring structures 100 may respectively collect the movement states of the two sides of the fitness equipment, such as an inclination angle on the two sides.

[0095] FIG. 19 is a perspective view of an application scenario of a smart fitness device in accordance with the embodiments of the present disclosure, showing a pec deck fly machine on which the smart fitness device is sleeved. The smart fitness device includes a first half-ring 100a and a second half-ring 100b. The first half-ring 100a and the second half-ring 100b form a ring structure 10. In addition, in this application scenario, only one of the half-ring structures 100 is used.

[0096] FIG. 20 is a perspective view of an application scenario of a smart fitness device in accordance with the embodiments of the present disclosure, showing two dumbbells. A half-ring structure 100 is attached to the handles of the two dumbbells. The two half-ring structures 100 may respectively collect the movement status of the dumbbells.

[0097] FIG. 21 is a perspective view of an application scenario of a smart fitness device attached to a shoulder press in accordance with the embodiments of the present disclosure. Two half-ring structures 100 are magnetically attracted to two sides of the shoulder press. The two half-ring structures 100 may respectively collect movement states of the two sides of the fitness equipment.

[0098] FIG. 22 is a perspective view of an application scenario of a smart fitness device attached to a leg press machine in accordance with the embodiments of the present disclosure. Two half-ring structures 100 are magnetically attracted on both sides of the leg press machine, and the two half-ring structures 100 may respectively collect movement states of the two sides of the fitness equipment.

[0099] FIG. 23 is a perspective view of an application scenario of a smart fitness device attached to a multifunctional cable machine in accordance with the embodiments of the present disclosure. Two half-ring structures 100 are magnetically attracted on both sides of the multifunctional cable machine, and the two half-ring structures 100 may respectively collect movement states of the two sides of the fitness equipment.

[0100] FIG. 17 to FIG. 23 only show some application scenarios of the smart fitness device in accordance with the embodiments of the present disclosure. The attachment method of the smart fitness device and the fitness equipment, the quantity of half-ring structures 100, the combination method between the half-ring structures 100, etc. may be selected as needed, and no specific restrictions are made here. In different application scenarios, the movement state of the fitness equipment may be collected through one or more half-ring structures 100, and the data obtained by one or more half-ring structures 100 may be analyzed as needed.

[0101] As shown in FIG. 24, the embodiments of the present disclosure propose an intelligent fitness method, applied to a smart fitness system, which includes the followings steps.

[0102] S10, attaching a fitness equipment and triggering a start signal.

[0103] The smart fitness device is attached to a fitness equipment and sends a start signal to a data terminal and / or a server.

[0104] S11, obtaining a movement state.

[0105] The smart fitness device obtains the movement signal during the training process in real time and forms a movement state for the data terminal and / or the server to analyze the movements. As shown in FIG. 17 to FIG. 23, in some application scenarios of the smart fitness device in accordance with the embodiments of the present disclosure, two or more half-ring structures are selectively attached to some fitness equipment, and each half-ring structure separately collects the movement state of the fitness equipment attached to it.

[0106] S12, obtaining a movement trajectory according to the movement state.

[0107] The data terminal and / or the server generate the movement trajectory based on the movement state over time. The movement trajectory is visualized as a waveform. If multiple half-ring structures are attached to the fitness equipment, the data terminal and / or the server may obtain a set of movement trajectories.

[0108] S13, comparing and analyzing the movement trajectory to confirm standardization of a movement.

[0109] The data terminal and / or the server analyze the movement trajectory by comparing with the standard movement library, and / or compare and analyze the movement trajectory through the deep learning model to determine the standardization of the movement. If one or more half-ring structures are attached to the fitness equipment, the data terminal and / or the server may make a comprehensive analysis of one or a group of movement trajectories, and then deduce the standardization of the user's movement. For example, as shown in FIG. 18, a half-ring structure is placed at both ends of the barbell, and the angle, inclination, speed, acceleration and other data collected by the two half-ring structures are configured to deduce whether the height and movement speed of the two ends of the barbell are consistent, thereby deriving the standardization of the user's movement.

[0110] As shown in FIG. 25, in some embodiments, S13, comparing and analyzing the movement trajectory to confirm standardization of the movement, including the following steps.

[0111] S131, processing the movement trajectory to obtain a single action trajectory.

[0112] The movement trajectory information is usually composed of a series of reciprocating actions. To compare the actions, it is necessary to analyze each action. Therefore, the movement trajectory needs to be decomposed to obtain a trajectory of a single action.

[0113] S132, comparing the single action trajectory to confirm the standardization of the movement.

[0114] The data terminal and / or the server compares and analyzes the single action trajectory through the standard movement library, and / or analyzes the single action trajectory through the deep learning model to determine the standardization of the movement.

[0115] In some embodiments, S131, processing the movement trajectory to obtain the single action trajectory, includes the following step.

[0116] The waveform includes several peaks and valleys, and the waveform may be segmented by peak segmentation, and / or valley segmentation, and / or center point segmentation to form multiple segments, each of which is a single action trajectory.

[0117] As shown in FIG. 26, the embodiments of the present disclosure propose an intelligent fitness method, which includes the following steps.

[0118] S20, inputting physical information.

[0119] The user's physical condition affects the position and amplitude of the movement. Therefore, the physical information may affect the analysis of the movement. The physical information is optional and not necessary. The physical information includes height, total arm length, upper arm length, forearm length, total leg length, thigh length, calf length, weight, age, gender, etc., and no specific restrictions are made here.

[0120] S21, attaching a fitness equipment and triggering a start signal.

[0121] S22, obtaining a movement state.

[0122] S23, obtaining a movement trajectory according to the movement state.

[0123] S24, processing the movement trajectory to obtain a single action trajectory.

[0124] S25, comparing the single action trajectory to confirm standardization of the movement.

[0125] As shown in FIG. 27 and FIG. 28, the embodiments of the present disclosure propose a smart fitness method, which includes the following steps.

[0126] The data terminal is installed with an APP, which prompts the user to enter his / her physical information upon first use. The physical information is considered personal privacy, and the user may choose not to input it. The system optionally encrypts the recorded data, and does not display it in plain text.

[0127] Then, the APP establishes a connection with the smart fitness device through the data terminal. When used the first time, the data terminal and the smart fitness device need to match each other. For example, if a Bluetooth connection is used, pairing is required before completing the network connection; and WIFI and NFC fast pairing are also supported, with no specific restrictions.

[0128] Before the training starts, a large model may be configured to generate a training plan. The large model proposes fitness equipment which are available and training goals based on the physical information. The training plan may include several sets of movements, the duration of each set of movements, the time interval between each set of movements, etc., and no specific restrictions are made here.

[0129] The smart fitness device is attached to the selected fitness equipment. After attachment, the first sensor of the smart fitness device is triggered, and the APP receives the trigger signal and pop up an inquiry message, which includes the type, other parameters (weight, tension, number of times, etc.) of the fitness equipment.

[0130] Then the training phase is started, the smart fitness device informs the user that the training starts with sound, light, etc.

[0131] As shown in FIG. 28, after starting training, the smart fitness device collects the data of every movement during the training process and sends the movement status to the APP. The APP recognizes the movements. If the movements are correct, the movement status is recorded and the correct result is fed back to the smart fitness device to determine whether the group of movements is completed. If the movements fail, the failed result is fed back to the smart fitness device. Failed movements may also be recorded for later analysis. An interval time is set between each group of movements, and the next group of movements is entered after rest.

[0132] After the previous group of training is completed, if the user needs to shift to another equipment, the smart fitness device may be attached to the other equipment. Then a new training cycle is entered, until the entire training plan is completed.

[0133] In addition, the user may also record his / her own movements and upload them to the cloud for manual verification and add them to the movement library. Fitness communities may be built in the cloud, and the uploaded movements may be labeled and verified by community members to enrich the standard movement library.

[0134] The above description is only some embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. Any equivalent changes or modifications made according to the structure, characteristics and principles described in the protection scope of the present disclosure should be included in the protection scope of the present disclosure.

Claims

1. A smart fitness device comprising:an attachment structure, configured to be attached to a fitness equipment;a microcontroller;a first sensor, configured to be controlled by the microcontroller to obtain a movement state of the fitness equipment;a networking module, configured to be controlled by the microcontroller to establish a network connection with an external device; anda battery, configured to supply power to a circuit constructed by the microcontroller.

2. The smart fitness device according to claim 1, further comprising:at least one half-ring structure, wherein the at least one half-ring structure is provided with the attachment structure, the first sensor, the networking module, and the battery.

3. The smart fitness device according to claim 2, wherein the attachment structure comprises a magnetic attraction structure, and the magnetic attraction structure is configured to be magnetically attracted to the fitness equipment.

4. The smart fitness device according to claim 3, wherein the magnetic attraction structure comprises a magnetic structure; the magnetic structure is arranged on at least one axial side of the at least one half-ring structure; and / orthe magnetic structure is arranged on at least one radial side of the at least one half-ring structure.

5. The smart fitness device according to claim 2, wherein each of the at least one half-ring structure comprises a first half-ring and a second half-ring, at least one end of the first half-ring is provided with a first magnetic member, at least one end of the second half-ring is provided with a second magnetic member, the first magnetic member and the second magnetic member are configured to be magnetically connected, and the first magnetic member and / or the second magnetic member are / is magnetic.

6. The smart fitness device according to claim 1, further comprising:a touch element, configured to be controlled by the microcontroller to obtain an attachment status between the smart fitness device and the fitness equipment.

7. The smart fitness device according to claim 1, further comprising:a second sensor, configured to be controlled by the microcontroller to obtain an environmental information.

8. The smart fitness device according to claim 1, further comprising:a switch element, configured to control an on-off state of the circuit constructed by the microcontroller.

9. The smart fitness device according to claim 1, further comprising:a feedback module, configured for the microcontroller to feedback an information.

10. The smart fitness device according to claim 9, wherein the feedback module comprises:an information indicator light, and / ora vibration element, and / oran electroacoustic element; and / ora power indicator light;wherein the information indicator light, the vibration element, and the electroacoustic element are controlled by the microcontroller to feedback a status information; and the power indicator light is controlled by the microcontroller to feedback a battery power information.

11. A smart fitness system comprising:a smart fitness device; anda data terminal;wherein the smart fitness device and the data terminal are connected via a network, and the smart fitness device is configured to send a data signal to the data terminal;the smart fitness device comprises:an attachment structure, configured to be attached to a fitness equipment;a microcontroller,a first sensor, configured to be controlled by the microcontroller to obtain a movement state of the fitness equipment;a networking module, configured to be controlled by the microcontroller to establish a network connection with an external device; anda battery, configured to supply power to a circuit constructed by the microcontroller.

12. The smart fitness system according to claim 11, wherein the data terminal is configured to send another data signal to the smart fitness device.

13. The smart fitness system according to claim 11, further comprising:a server, in communication connection with the data terminal and / or the smart fitness device, wherein the server is configured to analyze a movement and obtain a degree of standardization of the movement according to an acquired data information.

14. An intelligent fitness method, wherein the method is applied to a smart fitness system; the smart fitness system comprises a smart fitness device and a data terminal, the smart fitness device and the data terminal are connected via a network, and the smart fitness device is configured to send a data signal to the data terminal;the smart fitness device comprises:an attachment structure, configured to be attached to a fitness equipment;a microcontroller,a first sensor, configured to be controlled by the microcontroller to obtain a movement state of the fitness equipment;a networking module, configured to establish a network connection between the microcontroller and an external device; anda battery, configured to supply power to a circuit constructed by the microcontroller;the method comprises:acquiring a start signal, wherein the start signal is triggered in response to the smart fitness device being attached to the fitness equipment;obtaining, by the smart fitness device, a movement state of the fitness equipment;obtaining a movement trajectory according to the movement state, andanalyzing the movement trajectory to confirm standardization of a movement.

15. The smart fitness method according to claim 14, wherein the analyzing the movement trajectory to confirm standardization of the movement comprises:processing the movement trajectory to obtain a single action trajectory; andanalyzing the single action trajectory to confirm the standardization of the movement.

16. The smart fitness method according to claim 15, wherein the processing the movement trajectory to obtain the single action trajectory comprises:segmenting the movement trajectory using a peak segmentation method, and / or a valley segmentation method, and / or a center point segmentation method to obtain the single action trajectory.

17. The smart fitness method according to claim 14, wherein the analyzing the single action trajectory to confirm the standardization of the movement comprises:integrating a user's physical information to confirm an amplitude, a speed, an angle of the movement.

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