CN112842308B - Motion recommendation display method, wearable device, computing device and storage medium - Google Patents

Motion recommendation display method, wearable device, computing device and storage medium Download PDF

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CN112842308B
CN112842308B CN202011600075.5A CN202011600075A CN112842308B CN 112842308 B CN112842308 B CN 112842308B CN 202011600075 A CN202011600075 A CN 202011600075A CN 112842308 B CN112842308 B CN 112842308B
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CN112842308A (en
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江杰
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Guangdong Bay Area Intelligent Terminal Industrial Design And Research Institute Co ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/681Wristwatch-type devices

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Abstract

The invention relates to the technical field of electronics, and discloses a motion recommendation display method, wearable equipment, computing equipment and a storage medium. The exercise recommendation display method comprises the following steps: acquiring exercise habit information and a current body health level of a target object, wherein the exercise habit information comprises a plurality of historical exercise items; selecting at least one sports item from a plurality of historical sports items according to the current physical fitness level; and displaying at least one sports item on the current display screen. The embodiment of the invention combines the two indexes of the historical exercise habits and the current body health level of the user as the screening basis of the target exercise items, finally can screen and display various exercise items which are more suitable for the current body condition of the user and accord with the habits of the user, and the user can quickly select the exercise items which highly accord with the self requirement from the recommended options, thereby not only saving the selection time of the user, but also conforming to the health exercise concept and greatly improving the use experience of the user.

Description

Motion recommendation display method, wearable device, computing device and storage medium
Technical Field
The invention relates to the technical field of electronics, in particular to a motion recommendation display method, wearable equipment, computing equipment and a storage medium.
Background
Wearable equipment such as intelligent wrist-watch and bracelet main advantage lies in monitoring user health, for example, utilizes bracelet monitoring motion step number, rhythm of the heart, sleep index etc. and these intelligent wearing equipment have integrateed many sensors for acquire the sign data of the user who wears this wearable equipment, record health status.
Generally, a wearable device provides an exercise item list, the exercise item list includes a plurality of exercise item options, and when a user wearing the wearable device selects one of the options, the wearable device starts a corresponding motion sensing device to sense the motion of the user, so as to acquire an interaction parameter of the user.
However, the number of options in the sports item list is large, and may be hundreds, and the options are uniformly arranged and displayed in a fixed default manner, which fails to provide a personalized running item recommendation service according to the actual needs of the user, resulting in poor user experience.
Disclosure of Invention
The invention aims to provide a sports recommendation display method, wearable equipment, computing equipment and a storage medium, which can provide personalized operation item recommendation service according to the actual requirements of users.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for displaying sports recommendations, the method being applied to a wearable device, the method comprising:
acquiring exercise habit information and a current body health level of a target object, wherein the exercise habit information comprises a plurality of historical exercise items;
selecting at least one sport item from the plurality of historical sport items according to the current physical fitness level;
and displaying the at least one sports item on the current display screen.
Optionally, the exercise habit information further includes a historical exercise frequency and/or a historical exercise duration of each historical exercise item in the plurality of historical exercise items, and the method further includes:
calculating a priority recommendation value of each historical movement item according to the historical movement times and/or the historical movement duration;
wherein the displaying the at least one motion item on the current display screen comprises:
and displaying the at least one motion item on the current display screen in a descending order according to the priority recommendation value.
Optionally, the selecting at least one sports item from the plurality of historical sports items according to the current physical fitness level comprises:
selecting the at least one exercise item from the plurality of historical exercise items according to the current physical fitness level and a historical exercise intensity level of the target subject, the historical exercise intensity level being divided by at least one of a step frequency, a heart rate, and a movement distance of the target subject.
Optionally, the types of the historical exercise intensity level include a low intensity level, a medium intensity level and a high intensity level,
if the step frequency is lower than a first step frequency threshold, the heart rate is lower than a first heart rate threshold, and the distance is lower than a first distance threshold, the historical exercise intensity level is the low intensity level;
if the step frequency reaches a first step frequency threshold, the heart rate reaches a first heart rate threshold, and the distance reaches a first distance threshold, the historical exercise intensity level is the medium intensity level;
if the step frequency reaches a second step frequency threshold, the heart rate reaches a second heart rate threshold and the distance reaches a second distance threshold, the historical exercise intensity level is the high intensity level;
wherein the second step frequency threshold is higher than the first step frequency threshold, the second heart rate threshold is higher than the first heart rate threshold, and the second distance threshold is higher than the first distance threshold.
Optionally, the method for obtaining the current physical health grade comprises:
acquiring current health data of the target subject, the current health data comprising at least one of heart rate, stress, and sleep data; and determining the current body health grade according to the current health data, a preset health grade type and a division standard.
Optionally, the health level types include: health, laxity and fatigue.
Optionally, the calculating a priority recommendation value of each historical movement item includes:
and counting the historical movement times and the historical movement duration in a preset historical period aiming at each historical movement item, and calculating to obtain the priority recommendation value according to the preset weight of the historical movement times and the preset weight of the historical movement duration.
A wearable device comprising means for performing the motion recommendation display method of any of the above.
A computing device, comprising:
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing the motion recommendation display method according to the obtained program.
A computer readable non-transitory storage medium comprising computer readable instructions which, when read and executed by a computer, cause the computer to perform the athletic recommendation display method of any one of the above.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the embodiment of the invention combines the two indexes of the historical exercise habits and the current body health level of the user as the screening basis of the target exercise items, finally can screen and display various exercise items which are more suitable for the current body condition of the user and accord with the habits of the user, and the user can quickly select the exercise items which highly accord with the self requirement from the recommended options, thereby not only saving the selection time of the user, but also conforming to the health exercise concept and greatly improving the use experience of the user.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of a motion recommendation display method of a wearable device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the embodiments of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention without any creative efforts shall fall within the protection scope of the embodiments of the present invention.
The terms "comprises" and "comprising," and any variations thereof, in the description and claims of embodiments of the present invention and the above-described drawings, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention provides a motion recommendation display method applied to wearable equipment, which mainly comprises the following steps: firstly, acquiring exercise habit information and a current body health level of a target object, wherein the exercise habit information comprises a plurality of historical exercise items; then, selecting at least one sports item from a plurality of historical sports items according to the current physical fitness level; and finally, displaying the selected at least one motion item on the current display screen. The sports items displayed on the display screen are sports items which are in accordance with the current body condition of the target object and belong to the recently used sports items of the target object, so that the user can conveniently and quickly select the sports items.
Specifically, referring to fig. 1, a method for displaying sports recommendation provided by the embodiment of the present invention includes:
step 101, acquiring exercise habit information and a current body health level of a target object, wherein the exercise habit information comprises a historical exercise intensity level and a plurality of historical exercise items.
And 102, screening at least one sports item recommended to the target object from a plurality of historical sports item options according to the current physical health level and the historical sports intensity level. For convenience of description, the screened sports items are hereinafter referred to as target sports items.
The exercise habit information reflects the historical exercise condition of the user wearing the wearable device, and the current body health level reflects the current body condition of the user, so the embodiment of the invention combines the two indexes to be used as the screening basis of the target exercise item, and finally can screen out various exercise items which are more suitable for the current body condition of the user and accord with the habits of the user, and the user can quickly select the exercise items which are highly accord with the self requirements from recommended options, thereby not only saving the selection time of the user, but also being in accordance with the healthy exercise concept, and greatly improving the use experience of the user.
In order to further improve the use experience of the user, the obtained motion habit information of the target object may further include: the historical movement times and/or the historical movement duration of each historical movement item. Based on this, the motion recommendation display method of the embodiment of the present invention further includes:
and 103, calculating a priority recommendation value of each target motion item according to the historical motion times and/or the historical motion duration, and displaying each target motion item in a descending order according to the priority recommendation value.
Under the condition that the number of the target motion items obtained by screening is large, the embodiment can further calculate the favor degree of each target motion item by the user according to the historical motion times and the historical motion duration, the higher the favor degree is, the higher the priority recommendation value is, and then the target motion items are displayed in a descending order according to the priority recommendation value, so that the user can preferentially see the motion item options which are preferred by the user, and the rapid selection is convenient.
It should be noted that the historical movement times and the historical movement duration may be counted according to a preset period, for example, the last week or the last month. The specific calculation formula of the priority recommendation value can be freely set, and can be set according to the preset weight of the historical movement times and the preset weight of the historical movement duration, and the invention is not limited in particular.
Specifically, the method for acquiring the historical exercise intensity level includes: counting and recording the movement intensity information of the target object in a preset historical period, wherein the movement intensity information comprises at least one of step frequency, heart rate and movement distance; and judging the historical exercise intensity grade according to the exercise intensity information, the preset intensity grade type and the division standard.
It is understood that the historical exercise intensity level may also be obtained from an external device of the wearable device, such as an external terminal of a mobile phone, a tablet computer, etc. of the wearable device.
The preset intensity level type includes at least two levels, and in an alternative embodiment, the preset intensity level type includes three levels, which are respectively: low strength grade, medium strength grade and high strength grade.
Based on the above, the method for judging the historical exercise intensity level may include: if the step frequency is lower than a first step frequency threshold, the heart rate is lower than a first heart rate threshold, and the distance is lower than a first distance threshold, the historical exercise intensity level is determined to reach a low intensity level; if the step frequency reaches a first step frequency threshold value, the heart rate reaches a first heart rate threshold value, and the distance reaches a first distance threshold value, determining that the historical exercise intensity level reaches a medium intensity level; if the step frequency reaches a second step frequency threshold, the heart rate reaches a second heart rate threshold and the distance reaches a second distance threshold, the historical exercise intensity level is determined to reach a high intensity level; the second step frequency threshold is higher than the first step frequency threshold, the second heart rate threshold is higher than the first heart rate threshold, and the second distance threshold is higher than the first distance threshold.
Specifically, the method for acquiring the current physical health grade comprises the following steps: acquiring current health data of the target subject, the current health data including at least one of heart rate, stress and sleep data; and determining the current body health grade according to the current health data, the preset health grade type and the division standard.
The preset health level types include at least two types, and in an alternative embodiment, the preset health level types may include three types of health, relaxation, and fatigue. When the health level is lax, the condition that the body of the user needs to be strengthened for exercise is reflected, and some high-intensity exercises can be recommended correspondingly; when the health level is fatigue, the physical needs of the user are reflected to reduce exercise, the rest duration is prolonged, and some light-weight exercises can be recommended correspondingly.
It is understood that the current health level may also be obtained from outside the wearable device, such as an external terminal, such as a mobile phone or a tablet computer, connected to the wearable device.
Because the type of the sports item is associated with the sports intensity to a certain extent, the historical sports intensity level reflects the usual sports intensity of the user, and the current body health level also reflects which type of sports intensity the current body condition is matched with to a certain extent, the embodiment of the invention takes the historical sports intensity level and the current body health level as the screening consideration factors of the target sports item.
For example, if the historical exercise intensity is a high intensity level and the current physical health level is fatigue, selecting slow walking, yoga and other multiple lightweight motions as the target motion items; meanwhile, because the yoga has the highest priority recommended value and the slow-walking priority recommended value is the second, the yoga is arranged in the first place and the slow-walking is arranged in the second place in the target movement item list, and the user can conveniently and quickly select the yoga.
In practical application, the screening calculation formula of the target exercise item can be set freely, and can be set according to the weights of the historical exercise intensity level and the current body health level, and the invention is not limited in particular.
The embodiment of the present invention further provides a wearable device, which includes a module for executing the motion recommendation display method, and specifically includes:
the information acquisition unit is used for acquiring exercise habit information and a current body health grade of the target object, wherein the exercise habit information comprises a plurality of historical exercise items, historical exercise intensity grades, historical exercise times and/or historical exercise duration of each exercise item;
the sports item screening unit is used for screening at least one target sports item recommended to the target object from a plurality of historical sports item options according to the current physical health level and the historical sports intensity level;
and the display control unit is used for calculating the priority recommendation value of each target motion item according to the historical motion times and/or the historical motion duration, and displaying each target motion item in a descending order according to the priority recommendation value.
The information acquisition unit is specifically configured to:
counting and recording the movement intensity information of the target object in a preset historical period, wherein the movement intensity information comprises at least one of step frequency, heart rate and movement distance; judging the historical exercise intensity level according to the exercise intensity information and the preset intensity level types and division standards;
acquiring current health data of the target subject, the current health data including at least one of heart rate, stress and sleep index; and determining the current body health grade according to the current health data, the preset health grade type and the division standard.
In order to realize the collection of various exercise intensity information and various health data, the information acquisition unit can comprise various sensors such as an acceleration sensor, a gyroscope sensor and a heart rate sensor.
Among other things, the acceleration sensor can detect the magnitude of acceleration of the wearable device in various directions (typically three axes). The magnitude and direction of gravity may be detected when the wearable device is stationary. The method can also be applied to pedometers and the like. In the embodiment of the invention, the acceleration sensor can be combined with the gyroscope sensor to monitor the stride, the step frequency, the pace matching and the like of the user in the movement process.
A heart rate sensor may be used to acquire heart rate. In some embodiments, the heart rate sensor may be a photosensor, which may include a transmitter, receiver, and the like. Wherein the transmitter may be a light emitting diode, an infrared emitting diode, etc., and the receiver may include a phototransistor, etc. There is some attenuation of the illumination emitted by the transmitter as it passes through the skin tissue and then reflects back to the receiver. The change of the volume pulse blood flow can be realized through the change of the illumination. The photoelectric sensor is used for detecting the difference of the reflected light intensity after the reflected light is absorbed by the blood and the tissue of the human body, so that the change of the blood flow in the heartbeat period can be obtained, and the heart rate can be calculated from the obtained pulse waveform. In other embodiments, the heart rate sensor may also be a capacitive sensor, a piezoresistive sensor, a piezoelectric sensor, or the like, which is not limited by the embodiments of the present invention.
Meanwhile, the sensors of different types are all conventional components on wearable equipment, and the embodiment of the invention is not described again.
An embodiment of the present invention further provides a computing device, including: a memory for storing program instructions; and the processor is used for calling the program instructions stored in the memory and executing the motion recommendation display method according to the obtained program. The computing equipment can be any equipment which needs to recommend and display sports items, such as a bracelet, a mobile phone, a health treatment instrument and the like.
It will be understood by those skilled in the art that all or part of the steps in the above method embodiments may be performed by instructions or by instructions controlling associated hardware, and the instructions may be stored in a computer-readable non-volatile storage medium and loaded and executed by a processor.
To this end, the embodiment of the present invention further provides a computer-readable non-volatile storage medium, in which a plurality of instructions are stored, where the instructions can be loaded by a processor to execute the steps in the motion recommendation display method of the wearable device provided by the embodiment of the present invention.
Wherein the storage medium may include: read Only Memory (ROM), random Access Memory (RAM), magnetic or optical disks, and the like.
In summary, the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (6)

1. A method for displaying sports recommendations, the method being applied to a wearable device, the method comprising:
acquiring exercise habit information and a current body health level of a target object, wherein the exercise habit information comprises a plurality of historical exercise items;
selecting at least one sport item from the plurality of historical sport items according to the current physical fitness level;
displaying the at least one sport item on a current display screen;
the exercise habit information further includes a historical exercise number and/or a historical exercise duration of each historical exercise item in the plurality of historical exercise items, and the method further includes:
calculating a priority recommendation value of each historical movement item according to the historical movement times and/or the historical movement duration;
wherein the displaying the at least one motion item on the current display screen comprises:
the at least one item of sports item is displayed on the current display screen in a descending order according to the priority recommendation value;
the selecting at least one athletic activity from the plurality of historical athletic activities according to the current physical fitness level includes: selecting the at least one sport from the plurality of historical sports according to the current physical fitness level and a historical exercise intensity level of the target object, the historical exercise intensity level being divided by a step frequency, a heart rate, and a movement distance of the target object;
the obtaining the current physical health grade comprises: collecting current health data of the target subject, the current health data including heart rate, stress, and sleep data; determining the current body health grade according to the current health data, a preset health grade type and a division standard; the health class types include: health, laxity and fatigue.
2. The method for displaying the sports recommendation according to claim 1, wherein the calculating the priority recommendation value of each historical sports item according to the historical sports times and/or the historical sports time comprises:
counting the historical movement times and the historical movement duration in a preset historical period aiming at each historical movement item;
and calculating the priority recommendation value according to the preset weight of the historical movement times and the preset weight of the historical movement duration.
3. The method of claim 1, wherein the types of the historical exercise intensity levels comprise a low intensity level, a medium intensity level, and a high intensity level,
if the step frequency is lower than a first step frequency threshold, the heart rate is lower than a first heart rate threshold, and the distance is lower than a first distance threshold, the historical exercise intensity level is the low intensity level;
if the step frequency reaches a first step frequency threshold, the heart rate reaches a first heart rate threshold, and the distance reaches a first distance threshold, the historical exercise intensity level is the medium intensity level;
if the step frequency reaches a second step frequency threshold, the heart rate reaches a second heart rate threshold and the distance reaches a second distance threshold, the historical exercise intensity level is the high intensity level;
wherein the second step frequency threshold is higher than the first step frequency threshold, the second heart rate threshold is higher than the first heart rate threshold, and the second distance threshold is higher than the first distance threshold.
4. A wearable device comprising means for performing the method of motion recommendation display of any of claims 1-3.
5. A computing device, comprising:
a memory for storing program instructions;
a processor for calling the program instructions stored in the memory and executing the method of sports recommendation display of any one of claims 1 to 3 in accordance with the obtained program.
6. A computer-readable non-transitory storage medium including computer-readable instructions which, when read and executed by a computer, cause the computer to perform the method of sports recommendation display of any one of claims 1 to 3.
CN202011600075.5A 2020-12-29 2020-12-29 Motion recommendation display method, wearable device, computing device and storage medium Active CN112842308B (en)

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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114098673B (en) * 2021-10-27 2023-10-27 国网浙江省电力有限公司培训中心 Exercise health supervision method based on intelligent bracelet
CN114038528A (en) * 2021-11-20 2022-02-11 深圳市伊登软件有限公司 Health data processing method based on AI and related product
CN114098665A (en) * 2021-12-03 2022-03-01 展讯通信(天津)有限公司 Watchband display method and device of wearable device and wearable device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04197278A (en) * 1990-11-28 1992-07-16 Mitsubishi Materials Corp Health control system
WO2012026634A1 (en) * 2010-08-24 2012-03-01 엘지전자 주식회사 Exercise guiding device and exercise guiding method
CN109741810A (en) * 2018-12-27 2019-05-10 深圳创维-Rgb电子有限公司 Body-building management method, device and computer readable storage medium
WO2019225772A1 (en) * 2018-05-23 2019-11-28 Kim Min Chul Integrated platform system for managing and recommending exercise by using mobile device
CN111202955A (en) * 2019-12-11 2020-05-29 华为技术有限公司 Motion data processing method and electronic equipment

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4636523B2 (en) * 2003-05-29 2011-02-23 セイコーインスツル株式会社 Exercise state management system and pulse data processing device
US20160151672A1 (en) * 2014-11-30 2016-06-02 WiseWear Corporation Recommending an exercise activity for a user
CN204813799U (en) * 2015-01-23 2015-12-02 德赛电子(惠州)有限公司 Exercise intensity detection device
KR101959615B1 (en) * 2017-02-08 2019-03-18 인제대학교 산학협력단 workers healthcare method using smartphone application
CN107256330A (en) * 2017-05-22 2017-10-17 深圳市见康云科技有限公司 Recommendation method, device and the computer-readable recording medium of a kind of motion scheme

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04197278A (en) * 1990-11-28 1992-07-16 Mitsubishi Materials Corp Health control system
WO2012026634A1 (en) * 2010-08-24 2012-03-01 엘지전자 주식회사 Exercise guiding device and exercise guiding method
WO2019225772A1 (en) * 2018-05-23 2019-11-28 Kim Min Chul Integrated platform system for managing and recommending exercise by using mobile device
CN109741810A (en) * 2018-12-27 2019-05-10 深圳创维-Rgb电子有限公司 Body-building management method, device and computer readable storage medium
CN111202955A (en) * 2019-12-11 2020-05-29 华为技术有限公司 Motion data processing method and electronic equipment

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