CN114098673B - Exercise health supervision method based on intelligent bracelet - Google Patents
Exercise health supervision method based on intelligent bracelet Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 35
- 230000033001 locomotion Effects 0.000 claims abstract description 116
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 33
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 33
- 239000001301 oxygen Substances 0.000 claims abstract description 33
- 238000011156 evaluation Methods 0.000 claims abstract description 20
- 230000002612 cardiopulmonary effect Effects 0.000 claims abstract description 19
- 210000004072 lung Anatomy 0.000 claims description 56
- 238000001514 detection method Methods 0.000 claims description 23
- 230000002159 abnormal effect Effects 0.000 claims description 18
- 238000013507 mapping Methods 0.000 claims description 17
- 230000037149 energy metabolism Effects 0.000 claims description 10
- 101000712600 Homo sapiens Thyroid hormone receptor beta Proteins 0.000 claims description 7
- 102100033451 Thyroid hormone receptor beta Human genes 0.000 claims description 7
- 101150068888 MET3 gene Proteins 0.000 claims description 5
- 101100022915 Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) cys-11 gene Proteins 0.000 claims description 5
- 101100022918 Schizosaccharomyces pombe (strain 972 / ATCC 24843) sua1 gene Proteins 0.000 claims description 5
- 101150043924 metXA gene Proteins 0.000 claims description 4
- 101000931108 Mus musculus DNA (cytosine-5)-methyltransferase 1 Proteins 0.000 claims description 3
- 230000005284 excitation Effects 0.000 claims description 3
- 230000004217 heart function Effects 0.000 claims description 3
- 230000004199 lung function Effects 0.000 claims description 3
- 101100170933 Arabidopsis thaliana DMT1 gene Proteins 0.000 claims description 2
- 101100170942 Arabidopsis thaliana MET4 gene Proteins 0.000 claims description 2
- 101150014095 MET2 gene Proteins 0.000 claims description 2
- 101100261242 Mus musculus Trdmt1 gene Proteins 0.000 claims description 2
- 102100022087 Granzyme M Human genes 0.000 claims 2
- 101000900697 Homo sapiens Granzyme M Proteins 0.000 claims 2
- 230000003189 isokinetic effect Effects 0.000 claims 1
- 230000006870 function Effects 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000002503 metabolic effect Effects 0.000 description 3
- 230000004060 metabolic process Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 235000019577 caloric intake Nutrition 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000000284 resting effect Effects 0.000 description 1
- 238000000825 ultraviolet detection Methods 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements 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
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The invention discloses a motion health supervision method based on an intelligent bracelet, which comprises the following steps: s1, acquiring oxygen uptake data and heart rate data of a user in a plurality of movement modes; s2, establishing an absolute-relative motion strength unified evaluation table based on personal data of the user; s3, the intelligent bracelet generates a motion health instruction according to the absolute-relative motion intensity unified evaluation table to guide the user to perform health exercise, and when the absolute motion intensity interval points to a higher-level relative motion intensity interval, the heart rate of the user is indicated to be overlarge, and the user is required to be guided to reduce the motion intensity so as to reduce the motion risk; when the absolute exercise intensity interval points to the lower relative exercise intensity interval, the cardiopulmonary function of the user is not exercised, and the user needs to be guided to increase the exercise intensity so as to improve the cardiopulmonary endurance. According to the method, a set of private and exclusive healthy exercise guiding rules are formulated according to the cardiopulmonary function condition of the user, so that the exercise risk of the user can be prevented, and the cardiopulmonary capacity of the user can be improved.
Description
Technical Field
The invention relates to the technical field of intelligent perception, in particular to a motion health supervision method based on an intelligent bracelet.
Background
The main exercise functions of the current exercise intelligent (watch) bracelet are not outstanding enough, and the exercise intelligent watch has the exercise functions of exercise mode setting, real-time dynamic speed monitoring, dynamic heart rate detection, step measurement and calculation, calorie consumption calculation, data synchronization to a mobile phone APP and Bluetooth connection function, exercise data statistics and the like. The non-motion functions include air pressure height detection, temperature detection, humidity detection, ultraviolet detection, geomagnetic detection, time display, etc. People most want to intuitively know the exercise intensity when exercising in aerobic exercise, wherein the exercise intensity is divided into absolute exercise intensity and relative exercise intensity, the relative exercise intensity reflects the heart rate level of a user during exercise, the heart rate range of healthy exercise of the user can be calculated according to the age of the user, and the corresponding relative exercise intensity interval can be obtained by dividing the heart rate range, which is a universal rule internationally formulated; the absolute exercise intensity represents the metabolic level of the user during exercise, and the common index is metabolic equivalent (Metabolism equivalent, METs, also called prune); metabolic equivalent refers to the level of energy metabolism relative to resting quietly; the heart and lung levels of each person are different, and the metabolism level of each person during exercise is also different, if the exercise is guided according to the general metabolism equivalent comparison table, the risk of the user is increased or the heart and lung cannot achieve the aim of exercise, so that the design of a set of absolute-relative exercise intensity guidance evaluation rules based on personal data of the user is a key means for guaranteeing exercise health and improving heart and lung capacity.
Chinese patent, publication No.: CN105832341a, publication date: the day 2016, 8 and 10, discloses a method for monitoring exercise intensity and an intelligent bracelet, comprising: when the intelligent bracelet acquires a command for monitoring the exercise intensity of the user, the intelligent bracelet enters a mode for monitoring the exercise intensity of the user, and the current heart rate of the user is acquired through a heart rate monitoring module; the intelligent bracelet judges whether the heart rate is within a preset heart rate range; when the intelligent bracelet judges that the heart rate is not in the heart rate range, the intelligent bracelet acquires and outputs preset exercise intensity adjustment prompt information. The embodiment of the invention also discloses an intelligent bracelet. By adopting the intelligent watch, the exercise intensity of the user can be monitored and the exercise adjustment prompt can be carried out, so that the user can adjust the exercise intensity according to the exercise intensity adjustment prompt information output by the intelligent bracelet, the user can exercise more reasonably, and the exercise effect of the user is improved. The intelligent bracelet only judges the exercise intensity of the user by detecting the heart rate of the user during exercise and further guides the exercise, and the exercise mode can prevent risks of the user during exercise to a certain extent, but can not give accurate exercise advice according to the actual cardiopulmonary ability of the user, and cannot achieve the exercise effect of guaranteeing exercise health and improving the cardiopulmonary ability.
Disclosure of Invention
The invention aims to provide an exercise health supervision method based on an intelligent bracelet, which is used for making a set of health exercise guidance rules according to the cardiopulmonary function condition of a user, so that the exercise risk of the user can be prevented and the cardiopulmonary capacity of the user can be improved.
In order to achieve the technical purpose, the technical scheme provided by the invention is that the motion health supervision method based on the intelligent bracelet comprises the following steps:
s1, acquiring oxygen uptake data and heart rate data of a user in a plurality of movement modes;
s2, establishing an absolute-relative motion strength unified evaluation table of crowd (user) personal data based on different physical conditions;
s3, the intelligent bracelet generates a sports health instruction according to the absolute-relative sports intensity unified evaluation table to guide the user to perform health exercises.
In the scheme, firstly oxygen uptake data and heart rate data of a user in various exercise modes are obtained, absolute exercise intensity and relative exercise intensity of the user in medium exercise intensity are calculated, further, absolute exercise intensity and relative exercise intensity of high intensity and low intensity are set, a unified evaluation table of absolute-relative exercise intensity based on personal data of the user is formulated, and after deviation occurs in the mapping relation of absolute-relative exercise intensity of the user, the intelligent bracelet sends out an exercise instruction.
The exercise mode comprises a walking mode, a running mode and a riding mode, and meanwhile, when the exercise mode is started, an average value of absolute exercise intensity (METs) is displayed, and a corresponding absolute exercise intensity curve is arranged on a corresponding App.
Preferably, in the walking mode, S101, the step of calculating the absolute motion intensity of the user according to the oxygen uptake amount of the user includes the following steps:
measuring the oxygen uptake of the walking speed v1, and taking the speed v1 as a reference speed of absolute movement intensity when a user walks;
oxygen uptake VO 2 1＝3.5+0.1v1+1.8v1*p；
Wherein P is the gradient percentage;
calculating absolute motion of user motionIntensity of motion met1=vo 2 1/3.5, wherein 3.5 is the energy metabolism level at rest; the range of absolute exercise intensity at lower exercise intensity (1.5 METs,2.9 METs) and the range of absolute exercise intensity at medium exercise intensity (3 METs,5.9 METs) and the range of absolute exercise intensity at higher exercise intensity (6 METs, ++) for the user.
Preferably, in the running mode, S102, the step of calculating the absolute exercise intensity of the user according to the oxygen uptake amount of the user includes the following steps:
measuring the oxygen uptake of the running speed v2, and taking the speed v2 as the reference speed of the absolute exercise intensity of the user during running exercise;
oxygen uptake VO 2 2＝3.5+0.2v2+0.9v2*p；
Calculating absolute motion intensity met2=vo when the user moves 2 2/3.5, wherein 3.5 is the energy metabolism level at rest; the range of absolute motion intensity for lower intensity motions (1.5 METs,2.9 METs) and for higher intensity motions (6 METs2, ++ infinity a) is provided; the range of absolute exercise intensity at medium exercise intensity is (3 METs,5.9 METs).
Preferably, in the riding mode, S103, the step of calculating the absolute movement intensity of the user according to the oxygen uptake amount of the user includes the following steps:
measuring the oxygen uptake of the riding speed v3, and taking the speed v3 as the reference speed of the absolute movement intensity of the user during riding movement;
oxygen uptake VO 2 3＝7+1.8w/g；
Wherein w is the power during exercise, g is the weight of the user;
calculating absolute motion intensity met3=vo when a user moves 2 3/3.5, wherein 3.5 is the energy metabolism level at rest; the range of absolute motion intensity for the user at lower intensity motion (1.5 METs,2.9 METs) and the range of absolute motion intensity for the user at higher intensity motion (6 METs, ++ infinity a) is provided; the range of absolute exercise intensity at medium exercise intensity is (3 METs,5.9 METs).
Preferably, in walking mode, during exerciseTarget rate THR1, and a range of target rate THR 1: the lower intensity of motion is (0.57 HR) max ，0.64HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The medium exercise intensity was (0.64 HR) max ，0.76HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The higher intensity of movement is (0.76 HR) max ，0.96HR max ) (the walking pattern has little intensity of movement but there will be a combination of walking, the greater intensity is still possible).
Wherein HR is max Maximum heart rate for a healthy user; the formula: HR (HR) max =207-0.7n, where N is the age of the user.
Measuring exercise heart rate HR1 in a walking mode, detecting a heart rate average value in an effective time t when the exercise speed of a user is v1 according to a heart rate detection module and a speed detection module of the intelligent bracelet, comparing the measured average value of the exercise heart rate HR1 with a corresponding three target heart rate THR1 interval range to determine heart-lung endurance and a corresponding exercise interval, and determining proper exercise intensity and health supervision of the user as follows: the exercise intensity is proper; the exercise intensity is higher, the heart and lung burden is heavy, and the exercise intensity is suggested to be reduced; too high exercise intensity, too heavy cardiopulmonary burden and unsuitable participation; the exercise intensity is low, and the exercise intensity is suggested to be improved; or too low a movement intensity, without exercise significance.
Therefore, the range of the exercise heart rate HR1 at the lower exercise intensity is (0.57 HR) max ，0.64HR max ) Is normal; if it reaches (0.64 HR) max ，0.76HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped;
the range of the exercise heart rate HR1 at the medium exercise intensity was (0.64 HR) max ，0.76HR max ) If the exercise is normal, continuing to exercise; if it reaches (0.76 HR) max ，0.96HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped; if it reaches (0.57 HR) max ，0.64HR max ) The heart and lung endurance is good;
the range of the exercise heart rate HR1 at the higher exercise intensity was (0.76 HR) max ，0.96HR max ) For normal, it is indicated that the heart and lung endurance is good, if (0.64 HR is reached max ，0.76HR max ) Indicating very good heart and lung endurance.
Preferably, in the running mode, the target rate THR2 during exercise and the range of the target rate THR 2: the lower intensity of motion is (0.57 HR) max ，0.64HR max ) (running mode is less exercise intensive but walking at the very beginning is still possible); the medium exercise intensity was (0.64 HR) max ，0.76HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The higher intensity of movement is (0.76 HR) max ，0.96HR max ). Wherein HR is max Maximum heart rate for a healthy user; the formula: HR (HR) max =207-0.7n, where N is the age of the user.
And measuring the heart rate HR2 of the user in the running mode, and detecting the average value of the heart rate in the effective time t when the movement speed of the user is v2 according to the heart rate detection module and the speed detection module of the intelligent bracelet. According to the average value of the measured exercise heart rate HR2, the average value is compared with the ranges of the corresponding three target heart rate THR2 intervals, the heart-lung endurance and the corresponding exercise interval are determined, and the proper exercise intensity and health supervision of the user are as follows: the exercise intensity is proper; the exercise intensity is higher, the heart and lung burden is heavy, and the exercise intensity is suggested to be reduced; too high exercise intensity, too heavy cardiopulmonary burden and unsuitable participation; the exercise intensity is low, and the exercise intensity is suggested to be improved; or too low a movement intensity, without exercise significance.
Therefore, the range of the exercise heart rate HR2 at the lower exercise intensity is (0.57 HR) max ，0.64HR max ) Is normal; if it reaches (0.64 HR) max ，0.76HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped;
the range of the exercise heart rate HR2 at the medium exercise intensity was (0.64 HR) max ，0.76HR max ) If the exercise is normal, continuing to exercise in the interval; if the exercise heart rate HR2 reaches (0.76 HR) max ，0.96HR max ) Abnormal heart and lung endurance, the exercise intensity needs to be reduced; if the exercise heart rate HR2 is only at (0.57 HR) max ，0.64HR max ) The interval shows that the heart and lung endurance is good, the exercise intensity is low, and the exercise intensity is suggested to be improved.
Higher strength ofThe range of the exercise heart rate HR2 during exercise was (0.76 HR) max ，0.96HR max ) For normal, it is indicated that the heart and lung endurance is good, if (0.64 HR is reached max ，0.76HR max ) Indicating very good heart and lung endurance.
Preferably, the user is in the riding mode, the target rate THR3 at the time of exercise and the range of the target rate THR 3: the lower intensity of motion is (0.57 HR) max ，0.64HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The medium exercise intensity was (0.64 HR) max ，0.76HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The higher intensity of movement is (0.76 HR) max ，0.96HR max ). Wherein HR is max Maximum heart rate for a healthy user; the formula: HR (HR) max =207-0.7n, where N is the age of the user.
And measuring the heart rate HR3 of the user in the riding mode, and detecting the average value of the heart rate in the effective time t when the movement speed of the user is v2 according to the heart rate detection module and the speed detection module of the intelligent bracelet. According to the average value of the measured exercise heart rate HR3, the average value is compared with the ranges of the corresponding three target heart rate THR3 intervals, the heart-lung endurance and the corresponding exercise intervals are determined, and the proper exercise intensity and health supervision of the user are as follows: the exercise intensity is proper; the exercise intensity is higher, the heart and lung burden is heavy, and the exercise intensity is suggested to be reduced; too high exercise intensity, too heavy cardiopulmonary burden and unsuitable participation; the exercise intensity is low, and the exercise intensity is suggested to be improved; or too low a movement intensity, without exercise significance.
Therefore, the range of the exercise heart rate HR3 at the lower exercise intensity is (0.57 HR) max ，0.64HR max ) Is normal; if it reaches (0.64 HR) max ，0.76HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped;
the range of the exercise heart rate HR3 at the medium exercise intensity was (0.64 HR) max ，0.76HR max ) If the exercise is normal, continuing to exercise in the interval; if the exercise heart rate HR3 reaches (0.76 HR) max ，0.96HR max ) Abnormal heart and lung endurance, the exercise intensity needs to be reduced; if the exercise heart rate HR3 is only at (0.57 HR) max ，0.64HR max ) Interval, it indicates good heart-lung endurance and exerciseLow intensity, and it is recommended to increase exercise intensity.
The range of the exercise heart rate HR3 at higher exercise intensity was (0.76 HR) max ，0.96HR max ) For normal, it is indicated that the heart and lung endurance is good, if (0.64 HR is reached max ，0.76HR max ) Indicating very good heart and lung endurance.
Preferably, in step S2, a unified evaluation table of absolute-relative motion intensity of the user personal data under various motion modes is established, wherein the evaluation table includes a mapping relationship between an absolute motion intensity interval range of each motion intensity and each target rate interval range;
wherein:
under the walking mode, the mapping relation of the user during healthy exercise is as follows:
(1.5METs,2.9METs)→(0.57HR max ，0.64HR max )
(3METs,5.9METs)→(0.64HR max ，0.76HR max )
(6METs,+∞)→(0.76HR max ，0.96HR max )
under the running mode, the mapping relation of the user during healthy exercise is as follows:
(1.5METs,2.9METs)→(0.57HR max ，0.64HR max )
(3METs2,5.9METs)→(0.64HR max ，0.76HR max )
(6METs,+∞)→(0.76HR max ，0.96HR max )
in the riding mode, the mapping relation of the user during healthy exercise is as follows:
(1.5METs,2.9METs)→(0.57HR max ，0.64HR max )
(3METs,5.9METs)→(0.64HR max ，0.76HR max )
(6METs,+∞)→(0.76HR max ，0.96HR max )。
preferably, when the absolute-relative motion intensity mapping relation of the user is not matched with the evaluation table in the actual exercise, the situation that the user has a motion risk or does not play a role in forward motion excitation is indicated;
specifically, when the absolute exercise intensity interval points to a higher-level relative exercise intensity interval, the heart rate burden of the user is overlarge, and the intelligent bracelet guides the user to reduce the exercise intensity so as to reduce the exercise risk;
when the absolute exercise intensity interval points to the lower-level relative exercise intensity interval, the heart and lung functions of the user are not exercised, and the intelligent bracelet guides the user to increase the exercise intensity so as to improve the heart and lung endurance.
The invention has the beneficial effects that: according to the exercise health supervision method based on the intelligent bracelet, a set of private and exclusive health exercise guidance rules are formulated according to the cardiopulmonary function condition of a user, the unified relation between the relative exercise intensity and the absolute exercise intensity is established, the exercise intensity of the user is comprehensively considered, and the cardiopulmonary capacity of the user can be improved while the exercise risk of the user is prevented.
Drawings
Fig. 1 is a flowchart of a sports health supervision method based on an intelligent bracelet.
Fig. 2 is a diagram showing an interface of the smart band of the user in the walking mode.
FIG. 3 is a diagram showing the smart band interface of the user in running mode.
Fig. 4 is a diagram showing an interface of the smart band of the user in the riding mode.
Fig. 5 is a graph of the user's pace curve in this example 1.
Fig. 6 is a graph of heart rate of the user in this example 1.
Fig. 7 is a graph of the user's pace curve in this example 2.
FIG. 8 is a graph of the heart rate of the user in this example 2;
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and examples, it being understood that the detailed description herein is merely a preferred embodiment of the present invention, which is intended to illustrate the present invention, and not to limit the scope of the invention, as all other embodiments obtained by those skilled in the art without making any inventive effort fall within the scope of the present invention.
Examples:
as shown in fig. 1, the exercise health supervision method based on the intelligent bracelet comprises the following steps:
s1, acquiring oxygen uptake data and heart rate data of a user in a plurality of movement modes;
the exercise mode comprises a walking mode, a running mode and a riding mode, and as shown in fig. 2-4, the interface display conditions of the intelligent bracelet in the walking mode, the running mode and the riding mode are respectively shown; meanwhile, when the motion mode is started, an average value of absolute motion intensities (METs) is displayed, and a corresponding absolute motion intensity curve is arranged on a corresponding App.
S101, calculating the absolute motion intensity of a user according to the oxygen uptake amount of the user in the walking mode, wherein the method comprises the following steps of:
measuring the oxygen uptake of the walking speed v1, and taking the speed v1 as a reference speed of absolute movement intensity when a user walks;
oxygen uptake VO 2 1＝3.5+0.1v1+1.8v1*p；
Wherein P is the gradient percentage;
calculating absolute motion intensity met1=vo when a user moves 2 1/3.5, wherein 3.5 is the energy metabolism level at rest; the range of absolute exercise intensity at lower exercise intensity (1.5 METs,2.9 METs) and the range of absolute exercise intensity at medium exercise intensity (3 METs,5.9 METs) and the range of absolute exercise intensity at higher exercise intensity (6 METs, ++) for the user.
Preferably, in the running mode, S102, the step of calculating the absolute exercise intensity of the user according to the oxygen uptake amount of the user includes the following steps:
measuring the oxygen uptake of the running speed v2, and taking the speed v2 as the reference speed of the absolute exercise intensity of the user during running exercise;
oxygen uptake VO 2 2＝3.5+0.2v2+0.9v2*p；
Calculating absolute motion intensity when a user movesDegree MET2 = VO 2 2/3.5, wherein 3.5 is the energy metabolism level at rest; the range of absolute motion intensity for the user at lower motion intensity (1.5 METs,2.9 METs) and the range of absolute motion intensity for the user at higher motion intensity (6 METs2, ++ infinity a) is provided; the range of absolute exercise intensity at medium exercise intensity is (3 METs,5.9 METs).
Preferably, in the riding mode, S103, the step of calculating the absolute movement intensity of the user according to the oxygen uptake amount of the user includes the following steps:
measuring the oxygen uptake of the riding speed v3, and taking the speed v3 as the reference speed of the absolute movement intensity of the user during riding movement;
oxygen uptake VO 2 3＝7+1.8w/g；
Wherein w is the power during exercise, g is the weight of the user;
calculating absolute motion intensity met3=vo when a user moves 2 3/3.5, wherein 3.5 is the energy metabolism level at rest; the range of absolute motion intensity for the user at lower motion intensity (1.5 METs,2.9 METs) and the range of absolute motion intensity for the user at higher motion intensity (6 METs, ++ infinity a) is provided; the range of absolute exercise intensity at medium exercise intensity is (3 METs,5.9 METs).
Preferably, in the walking mode, the target rate THR1 during exercise and the range of the target rate THR1 are: the lower intensity of motion is (0.57 HR) max ，0.64HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The medium exercise intensity was (0.64 HR) max ，0.76HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The higher intensity of movement is (0.76 HR) max ，0.96HR max ) (the walking pattern has little intensity of movement but there will be a combination of walking, higher intensity is still possible).
Wherein HR is max Maximum heart rate for a healthy user; the formula: HR (HR) max =207-0.7n, where N is the age of the user.
Measuring exercise heart rate HR1 in a walking mode, detecting a heart rate average value in an effective time t when the exercise speed of a user is v1 according to a heart rate detection module and a speed detection module of the intelligent bracelet, comparing the measured average value of the exercise heart rate HR1 with a corresponding three target heart rate THR1 interval range to determine heart-lung endurance and a corresponding exercise interval, and determining proper exercise intensity and health supervision of the user as follows: the exercise intensity is proper; the exercise intensity is higher, the heart and lung burden is heavy, and the exercise intensity is suggested to be reduced; too high exercise intensity, too heavy cardiopulmonary burden and unsuitable participation; the exercise intensity is low, and the exercise intensity is suggested to be improved; or too low a movement intensity, without exercise significance.
Therefore, the range of the exercise heart rate HR1 at the lower exercise intensity is (0.57 HR) max ，0.64HR max ) Is normal; if it reaches (0.64 HR) max ，0.76HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped;
the range of the exercise heart rate HR1 at the medium exercise intensity was (0.64 HR) max ，0.76HR max ) If the exercise is normal, continuing to exercise; if it reaches (0.76 HR) max ，0.96HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped; if it reaches (0.57 HR) max ，0.64HR max ) The heart and lung endurance is good;
the range of the exercise heart rate HR1 at the higher exercise intensity was (0.76 HR) max ，0.96HR max ) Is normal, if (0.64 HR is reached max ，0.76HR max ) Indicating good heart and lung endurance, if it reaches (0.64 HR) max ，0.76HR max ) Indicating very good heart and lung endurance.
Preferably, in the running mode, the target rate THR2 during exercise and the range of the target rate THR 2: the lower intensity of motion is (0.57 HR) max ，0.64HR max ) (running mode is less exercise intensive but walking at the very beginning is still possible); the medium exercise intensity was (0.64 HR) max ，0.76HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The higher intensity of movement is (0.76 HR) max ，0.96HR max ). Wherein HR is max Maximum heart rate for a healthy user; the formula: HR (HR) max =207-0.7n, where N is the age of the user.
And measuring the heart rate HR2 of the user in the running mode, and detecting the average value of the heart rate in the effective time t when the movement speed of the user is v2 according to the heart rate detection module and the speed detection module of the intelligent bracelet. According to the average value of the measured exercise heart rate HR2, the average value is compared with the ranges of the corresponding three target heart rate THR2 intervals, the heart-lung endurance and the corresponding exercise interval are determined, and the proper exercise intensity and health supervision of the user are as follows: the exercise intensity is proper; the exercise intensity is higher, the heart and lung burden is heavy, and the exercise intensity is suggested to be reduced; too high exercise intensity, too heavy cardiopulmonary burden and unsuitable participation; the exercise intensity is low, and the exercise intensity is suggested to be improved; or too low a movement intensity, without exercise significance.
Therefore, the range of the exercise heart rate HR2 at the lower exercise intensity is (0.57 HR) max ，0.64HR max ) Is normal; if it reaches (0.64 HR) max ，0.76HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped;
the range of the exercise heart rate HR2 at the medium exercise intensity was (0.64 HR) max ，0.76HR max ) If the exercise is normal, continuing to exercise in the interval; if the exercise heart rate HR2 reaches (0.76 HR) max ，0.96HR max ) Abnormal heart and lung endurance, the exercise intensity needs to be reduced; if the exercise heart rate HR2 is only at (0.57 HR) max ，0.64HR max ) The interval shows that the heart and lung endurance is good, the exercise intensity is low, and the exercise intensity is suggested to be improved.
The range of the exercise heart rate HR2 at higher exercise intensity was (0.76 HR) max ，0.96HR max ) For normal, it is indicated that the heart and lung endurance is good, if (0.64 HR is reached max ，0.76HR max ) Indicating very good heart and lung endurance.
Preferably, the user is in the riding mode, the target rate THR3 at the time of exercise and the range of the target rate THR 3: the lower intensity of motion is (0.57 HR) max ，0.64HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The medium exercise intensity was (0.64 HR) max ，0.76HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The higher intensity of movement is (0.76 HR) max ，0.96HR max ). Wherein HR is max Maximum heart rate for a healthy user; the formula: HR (HR) max =207-0.7n, where N is the age of the user.
And measuring the heart rate HR3 of the user in the riding mode, and detecting the average value of the heart rate in the effective time t when the movement speed of the user is v2 according to the heart rate detection module and the speed detection module of the intelligent bracelet. According to the average value of the measured exercise heart rate HR3, the average value is compared with the ranges of the corresponding three target heart rate THR3 intervals, the heart-lung endurance and the corresponding exercise intervals are determined, and the proper exercise intensity and health supervision of the user are as follows: the exercise intensity is proper; the exercise intensity is higher, the heart and lung burden is heavy, and the exercise intensity is suggested to be reduced; too high exercise intensity, too heavy cardiopulmonary burden and unsuitable participation; the exercise intensity is low, and the exercise intensity is suggested to be improved; or too low a movement intensity, without exercise significance.
Therefore, the range of the exercise heart rate HR3 at the lower exercise intensity is (0.57 HR) max ，0.64HR max ) Is normal; if it reaches (0.64 HR) max ，0.76HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped;
the range of the exercise heart rate HR3 at the medium exercise intensity was (0.64 HR) max ，0.76HR max ) If the exercise is normal, continuing to exercise in the interval; if the exercise heart rate HR3 reaches (0.76 HR) max ，0.96HR max ) Abnormal heart and lung endurance, the exercise intensity needs to be reduced; if the exercise heart rate HR3 is only at (0.57 HR) max ，0.64HR max ) The interval shows that the heart and lung endurance is good, the exercise intensity is low, and the exercise intensity is suggested to be improved.
The range of the exercise heart rate HR3 at the higher exercise intensity was (0.76 HR) max ，0.96HR max ) For normal, it is indicated that the heart and lung endurance is good, if (0.64 HR is reached max ，0.76HR max ) Indicating very good heart and lung endurance.
S2, establishing an absolute-relative motion strength unified evaluation table of crowd (user) personal data based on different physical conditions; as shown in table 1:
table 1. Table of unified assessment of absolute-relative movement intensity when people of different physical conditions are moving.
In step S2, establishing a unified evaluation table of absolute-relative motion intensity of user personal data under various motion modes, wherein the evaluation table comprises mapping relations between absolute motion intensity interval ranges of all motion intensities and all target rate interval ranges; wherein:
under the walking mode, the mapping relation of the user during healthy exercise is as follows:
(1.5METs,2.9METs)→(0.57HR max ，0.64HR max )
(3METs,5.9METs)→(0.64HR max ，0.76HR max )
(6METs,+∞)→(0.76HR max ，0.96HR max )
under the running mode, the mapping relation of the user during healthy exercise is as follows:
(1.5METs,2.9METs)→(0.57HR max ，0.64HR max )
(3METs2,5.9METs)→(0.64HR max ，0.76HR max )
(6METs,+∞)→(0.76HR max ，0.96HR max )
in the riding mode, the mapping relation of the user during healthy exercise is as follows:
(1.5METs,2.9METs)→(0.57HR max ，0.64HR max )
(3METs,5.9METs)→(0.64HR max ，0.76HR max )
(6METs,+∞)→(0.76HR max ，0.96HR max )。
s3, the intelligent bracelet generates a sports health instruction according to the absolute-relative sports intensity unified evaluation table to guide the user to perform health exercises.
When the user does not match with the evaluation table in the absolute-relative motion intensity mapping relation, the user is at risk of motion or does not play a role in forward excitation of motion;
specifically, when the absolute exercise intensity interval points to a higher-level relative exercise intensity interval, the heart rate burden of the user is overlarge, and the intelligent bracelet guides the user to reduce the exercise intensity so as to reduce the exercise risk;
when the absolute exercise intensity interval points to the lower-level relative exercise intensity interval, the heart and lung functions of the user are not exercised, and the intelligent bracelet guides the user to increase the exercise intensity so as to improve the heart and lung endurance.
In this embodiment, firstly, oxygen uptake data and heart rate data of a user in a plurality of exercise modes are obtained, absolute exercise intensity and relative exercise intensity of the user in medium exercise intensity are calculated, further, absolute exercise intensity and relative exercise intensity of higher exercise intensity and lower exercise intensity are set, a unified evaluation table of absolute-relative exercise intensity based on personal data of the user is formulated, and when deviation occurs in mapping relation of absolute-relative exercise intensity of the user, the intelligent bracelet sends out exercise instruction.
A specific application example is as follows, for explaining the feasibility of the embodiment in practical application, and is not intended to limit the application scope of the invention; equivalent changes in the method and structure according to the present invention are within the scope of the present invention.
Example 1: men 50 years old, jogged at an average pace of 7:09 minutes/km, with a corresponding average heart rate of 138 beats/minute, as shown in fig. 5-6. The medium exercise intensity target heart rate interval (110-130 times/min) of 50 years old men is equivalent to 8.4 km/h, absolute exercise intensity 9METs; from the sports smart band corresponding APP, it can be seen that the average heart rate corresponding to the jogging exercise intensity is 138 beats/min. The male is proved to be beneficial in aerobic exercise with larger exercise intensity and improving heart-lung endurance, and has moderate exercise intensity.
Example 2: 7-8, a man at age 40 walks at an average pace of 10:49 minutes/km, equivalent to 5.6 km/h, absolute exercise intensity of 4METs, and an average heart rate of 98 beats/min corresponding to exercise intensity of medium speed walking can be seen from the exercise smart bracelet corresponding to APP. The corresponding medium exercise intensity target heart rate interval for a 40 year old man is (115-136 times/min), and the medium intensity target heart rate interval intensity is not reached when walking at 5.6 km/h, which indicates that the man has good heart-lung endurance, and the exercise intensity is smaller for the man when walking fast. The exercise intensity is increased during exercise, and the exercise effect of heart-lung endurance is improved by adopting the mode of running combination or jogging, so that the exercise can be performed in the middle exercise intensity bullseye interval.
The above embodiments are preferred embodiments of the exercise health monitoring method based on smart band according to the present invention, and the scope of the present invention is not limited to the preferred embodiments, and all equivalent changes of shape and structure according to the present invention are within the scope of the present invention.
Claims (2)
1. The exercise health supervision method based on the intelligent bracelet is characterized by comprising the following steps of:
s1, acquiring oxygen uptake data and heart rate data of a user in a plurality of movement modes;
s2, establishing an absolute-relative motion strength unified evaluation table based on crowd personal data of different physical conditions;
s3, the intelligent bracelet generates a motion health instruction according to the absolute-relative motion strength unified evaluation table to guide a user to perform health exercises;
the exercise mode comprises a walking mode, a running mode and a riding mode;
s1, comprising the following steps:
s101, calculating the absolute motion intensity of a user according to the oxygen uptake amount of the user in the walking mode, wherein the method comprises the following steps of:
measuring the oxygen uptake of the walking speed v1, and taking the speed v1 as a reference speed of absolute movement intensity when a user walks;
oxygen uptake VO 2 1=3.5+0.1v1+1.8v1*p；
Wherein P is the gradient percentage;
calculating absolute motion intensity met1=vo when a user moves 2 1/3.5, wherein 3.5 is the energy metabolism level at rest;
the interval range of absolute exercise intensity (1.5MET1, 2.9MET1) at which the user has low exercise intensity and the interval range of absolute exercise intensity of medium exercise intensity (3 MET1, 5.9MET1) and the absolute exercise intensity at higher exercise intensities is in the interval range of (6 MET1, ++ infinity a) is provided;
s102, in the running mode, calculating the absolute exercise intensity of the user according to the oxygen uptake amount of the user, wherein the method comprises the following steps of:
measuring the oxygen uptake of the running speed v2, and taking the speed v2 as the reference speed of the absolute exercise intensity of the user during running exercise;
oxygen uptake VO 2 2=3.5+0.2v2+0.9v2*p；
Calculating absolute motion intensity met2=vo when the user moves 2 2/3.5, wherein 3.5 is the energy metabolism level at rest;
the interval range of absolute exercise intensity at lower exercise intensity (1.5MET2, 2.9MET2) and the interval range of absolute exercise intensity at higher exercise intensity of the user are (6 METs2, ++ infinity a) is provided; the range of absolute exercise intensity at medium exercise intensity is (3 MET2, 5.9MET2);
s103, in the riding mode, calculating the absolute motion intensity of the user according to the oxygen uptake amount of the user, wherein the method comprises the following steps of:
measuring the oxygen uptake of the riding speed v3, and taking the speed v3 as the reference speed of the absolute movement intensity of the user during riding movement;
oxygen uptake VO 2 3=7+1.8w/g；
Wherein w is the power during exercise, g is the weight of the user;
calculating absolute motion intensity met3=vo when a user moves 2 3/3.5, wherein 3.5 is the energy metabolism level at rest;
the interval range of absolute exercise intensity at lower exercise intensity (1.5MET3, 2.9MET3) and the interval range of absolute exercise intensity at higher exercise intensity of the user are (6 MET3, ++ infinity a) is provided; the range of absolute exercise intensity at medium exercise intensity is (3 MET3, 5.9MET3);
in the walking mode, the target rate THR1 at the medium exercise intensity and the range of the target rate THR 1: the lower intensity of motion is (0.57 HR) max ，0.64HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The medium exercise intensity is%0.64HR max ，0.76HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The higher intensity of movement is (0.76 HR) max ，0.96HR max ）；
Wherein HR is max Maximum heart rate for a healthy user; the formula: HR (HR) max =207-0.7N, where N is the age of the user;
measuring exercise heart rate HR1 in a walking mode, detecting a heart rate average value in an effective time t when the exercise speed of a user is v1 according to a heart rate detection module and a speed detection module of the intelligent bracelet, comparing the measured average value of the exercise heart rate HR1 with a corresponding three target heart rate THR1 interval range to determine heart-lung endurance and a corresponding exercise interval, and performing proper exercise intensity and health supervision on the user as follows: the exercise intensity is proper; the exercise intensity is higher, the heart and lung burden is heavy, and the exercise intensity is suggested to be reduced; too high exercise intensity, too heavy cardiopulmonary burden and unsuitable participation; the exercise intensity is low, and the exercise intensity is suggested to be improved; or the exercise intensity is too low, and the exercise significance is not realized;
therefore, the range of the exercise heart rate HR1 at the lower exercise intensity is (0.57 HR) max ，0.64HR max ) Is normal; if it reaches (0.64 HR) max ，0.76HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped;
the range of the exercise heart rate HR1 at the medium exercise intensity was (0.64 HR) max ，0.76HR max ) If the exercise is normal, continuing to exercise; if it reaches (0.76 HR) max ，0.96HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped; if it reaches (0.57 HR) max ，0.64HR max ) The heart and lung endurance is good;
the range of the exercise heart rate HR1 at the higher exercise intensity was (0.76 HR) max ，0.96HR max ) For normal, it is indicated that the heart and lung endurance is good, if (0.64 HR is reached max ，0.76HR max ) The heart-lung endurance is very good;
in running mode, the target rate THR2 at the time of exercise and the range of the target rate THR 2: the lower intensity of motion is (0.57 HR) max ，0.64HR max ) The method comprises the steps of carrying out a first treatment on the surface of the In (a)The isokinetic intensity is (0.64 HR) max ，0.76HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The higher intensity of movement is (0.76 HR) max ，0.96HR max ）；
Wherein HR is max Maximum heart rate for a healthy user; the formula: HR (HR) max =207-0.7N, where N is the age of the user;
measuring the heart rate HR2 of the user in a running mode, and detecting the average value of the heart rate in the effective time t when the movement speed of the user is v2 according to a heart rate detection module and a speed detection module of the intelligent bracelet;
according to the average value of the measured exercise heart rate HR2, the average value is compared with the ranges of the corresponding three target heart rate THR2 intervals, the heart-lung endurance and the corresponding exercise interval are determined, and the proper exercise intensity and health supervision of the user are as follows: the exercise intensity is proper; the exercise intensity is higher, the heart and lung burden is heavy, and the exercise intensity is suggested to be reduced; too high exercise intensity, too heavy cardiopulmonary burden and unsuitable participation; the exercise intensity is low, and the exercise intensity is suggested to be improved; or the exercise intensity is too low, and the exercise significance is not realized;
therefore, the range of the exercise heart rate HR2 at the lower exercise intensity is (0.57 HR) max ，0.64HR max ) Is normal; if it reaches (0.64 HR) max ，0.76HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped;
the range of the exercise heart rate HR2 at the medium exercise intensity was (0.64 HR) max ，0.76HR max ) If the exercise is normal, continuing to exercise in the interval; if the exercise heart rate HR2 reaches (0.76 HR) max ，0.96HR max ) Abnormal heart and lung endurance, the exercise intensity needs to be reduced; if the exercise heart rate HR2 is only at (0.57 HR) max ，0.64HR max ) The interval shows that the heart and lung endurance is good, the exercise intensity is low, and the exercise intensity is suggested to be improved;
the range of the exercise heart rate HR2 at the higher exercise intensity was (0.76 HR) max ，0.96HR max ) For normal, it is indicated that the heart and lung endurance is good, if (0.64 HR is reached max ，0.76HR max ) The heart-lung endurance is very good;
the user is in riding mode, the target rate THR3 at medium exercise intensity and the interval range of the target rate THR 3: the lower intensity of motion is (0.57 HR) max ，0.64HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The medium exercise intensity was (0.64 HR) max ，0.76HR max ) The method comprises the steps of carrying out a first treatment on the surface of the The higher intensity of movement is (0.76 HR) max ，0.96HR max ）；
Wherein HR is max Maximum heart rate for a healthy user; the formula: HR (HR) max =207-0.7N, where N is the age of the user;
measuring the exercise heart rate HR3 of a user in a riding mode, and detecting the heart rate average value in the effective time t when the exercise speed of the user is v2 according to a heart rate detection module and a speed detection module of the intelligent bracelet;
according to the average value of the measured exercise heart rate HR3, the average value is compared with the ranges of the corresponding three target heart rate THR3 intervals, the heart-lung endurance and the corresponding exercise interval are determined, and the proper exercise intensity and health supervision of the user are as follows: the exercise intensity is proper; the exercise intensity is higher, the heart and lung burden is heavy, and the exercise intensity is suggested to be reduced; too high exercise intensity, too heavy cardiopulmonary burden and unsuitable participation; the exercise intensity is low, and the exercise intensity is suggested to be improved; or the exercise intensity is too low, and the exercise significance is not realized;
therefore, the range of the exercise heart rate HR3 at the lower exercise intensity is (0.57 HR) max ，0.64HR max ) Is normal; if it reaches (0.64 HR) max ，0.76HR max ) For abnormal heart and lung endurance, the exercise intensity needs to be reduced or the exercise is stopped;
the range of the exercise heart rate HR3 at the medium exercise intensity was (0.64 HR) max ，0.76HR max ) If the exercise is normal, continuing to exercise in the interval; if the exercise heart rate HR3 reaches (0.76 HR) max ，0.96HR max ) Abnormal heart and lung endurance, the exercise intensity needs to be reduced; if the exercise heart rate HR3 is only at (0.57 HR) max ，0.64HR max ) The interval shows that the heart and lung endurance is good, the exercise intensity is low, and the exercise intensity is suggested to be improved;
the range of the exercise heart rate HR3 at the higher exercise intensity was (0.76 HR) max ，0.96HR max ) For normal, it is indicated that the heart and lung endurance is good, if (0.64 HR is reached max ，0.76HR max ) The heart-lung endurance is very good;
in step S2, establishing a unified evaluation table of absolute-relative motion intensity of user personal data under various motion modes, wherein the evaluation table comprises mapping relations between absolute motion intensity interval ranges of all motion intensities and all target rate interval ranges; wherein:
under the walking mode, the mapping relation of the user during healthy exercise is as follows:
（1.5MET1 , 2.9MET1）→（0.57HR max ，0.64HR max ）
（3MET1 , 5.9MET1）→（0.64HR max ，0.76HR max ）
（6MET1 , +∞）→（0.76HR max ，0.96HR max ）
under the running mode, the mapping relation of the user during healthy exercise is as follows:
（1.5MET2 , 2.9MET2）→（0.57HR max ，0.64HR max ）
（3METs2, 5.9MET2）→（0.64HR max ，0.76HR max ）
（6MET2 , +∞）→（0.76HR max ，0.96HR max ）
in the riding mode, the mapping relation of the user during healthy exercise is as follows:
（1.5MET3 , 2.9MET3）→（0.57HR max ，0.64HR max ）
（3MET3, 5.9MET3）→（0.64HR max ，0.76HR max ）
（6MET3, +∞）→（0.76HR max ，0.96HR max ）。
2. the exercise health supervision method based on the smart band according to claim 1, wherein,
when the user does not match with the evaluation table in the absolute-relative motion intensity mapping relation, the user is at risk of motion or does not play a role in forward excitation of motion;
specifically, when the absolute exercise intensity interval points to a higher-level relative exercise intensity interval, the heart rate burden of the user is overlarge, and the intelligent bracelet guides the user to reduce the exercise intensity so as to reduce the exercise risk;
when the absolute exercise intensity interval points to the lower-level relative exercise intensity interval, the heart and lung functions of the user are not exercised, and the intelligent bracelet guides the user to increase the exercise intensity so as to improve the heart and lung endurance.
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| CN112138361A (en) * | 2020-10-14 | 2020-12-29 | 中国科学院合肥物质科学研究院 | Cardio-pulmonary endurance measurement method and system based on oxygen uptake calculation |
| CN112842308A (en) * | 2020-12-29 | 2021-05-28 | 广东湾区智能终端工业设计研究院有限公司 | Motion recommendation display method, wearable device, computing device and storage medium |
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