CN107609329B - Method and system for rapidly evaluating tennis amateur level - Google Patents
Method and system for rapidly evaluating tennis amateur level Download PDFInfo
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- CN107609329B CN107609329B CN201710762022.5A CN201710762022A CN107609329B CN 107609329 B CN107609329 B CN 107609329B CN 201710762022 A CN201710762022 A CN 201710762022A CN 107609329 B CN107609329 B CN 107609329B
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Abstract
The invention belongs to the field of wearable equipment, and particularly relates to a method and a system for quickly evaluating tennis amateur level, wherein the method comprises the following steps: a: monitoring and recording user gait data, and obtaining user gait scores through a gait score statistical method according to the user gait data; b: monitoring and recording user manipulation data, and obtaining user manipulation scores through a manipulation score statistical method according to the user manipulation data; c: monitoring and recording heart rate data of a user, and obtaining a heart rate score of the user by a heart rate score statistical method according to the heart rate data of the user; d: and obtaining the total score of the user through a total score algorithm according to the pace score, the skill score and the heart rate score. The tennis training system can help a user to know the tennis level of the user and make targeted training, and has the advantages of convenience, rapidness, economy and the like.
Description
Technical Field
The invention belongs to the field of wearable equipment, and particularly relates to a method and a system for rapidly evaluating tennis amateur level.
Background
A wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. Wearable devices exist in the form of portable accessories which have a part of computing functions and can be connected with mobile phones and various terminals, and the mainstream product forms include watch types (including products such as watches and wristbands) which are supported by wrists, shoes types (including shoes, socks or other future leg wearing products) which are supported by feet, Glass types (including glasses, helmets, headbands and the like) which are supported by heads, and various non-mainstream product forms such as smart clothes, schoolbag, crutch, accessories and the like.
At present, people often like wearing some wearable equipment in production and life, especially the wearable equipment of wrist strap class can monitor user's health and motion condition, but, the wearable equipment of prior art all can not judge user's action, more does not have the function that can assess user's motion level.
In order to solve the above technical problems, people have long searched for a wearable device and an electronic device disclosed in, for example, chinese patent application No.: CN201520523365.2], including: a user interface component having an active state and an inactive state; a movement sensor for detecting movement of the wearable device; and a first processor configured to: determining a starting gesture corresponding to a start of a time interval based on a set of mobile sensor data samples corresponding to the time interval; determining a set of criteria for identifying a possible lift-off gesture using the set of movement sensor data samples based at least in part on the start gesture; determining a likely lift-off gesture based at least in part on whether the set of movement sensor data samples satisfies the selected set of criteria; determining that a raise gesture is detected if the possible raise gesture is followed by at least a minimum hold time period in a gesture of interest; and notifying other components of the wearable device when a possible lift-off gesture is recognized and when a lift-off gesture is detected.
Another example is a simple exercise coordination ability detection system [ application No.: CN201310722251.6], the system is composed of a testing module, a sensor module, a data transmission module, a data analysis module and a result display module; the test module displays test contents; based on the design method of the wearable device, the sensor module and the data transmission module are fixed on the palms and backs of the left hand and the right hand of the detected person by using the buckle belt provided with the magic tapes; the detected person moves along with the demonstration action displayed by the testing module, the sensor module collects the movement data of the detected person, the data transmission module wirelessly transmits the movement data to the data analysis module, the movement data of the detected person is analyzed by the data analysis module so as to quantitatively evaluate the movement coordination capacity of the detected person, and finally, the result display module is used for visually displaying the detection result.
The two schemes can respectively judge the action of the user and detect the movement coordination capacity of the user, but the problem that the movement level of the user cannot be judged in the prior art is not solved.
Disclosure of Invention
The invention aims to solve the problems and provides a convenient, economic and rapid method for evaluating tennis amateur level;
Another object of the present invention is to provide a system for rapidly evaluating tennis amateur level, which employs a method for rapidly evaluating tennis amateur level.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for rapidly evaluating tennis amateur level comprises the following steps:
a: monitoring and recording user gait data, and obtaining user gait scores through a gait score statistical method according to the user gait data;
b: monitoring and recording user manipulation data, and obtaining user manipulation scores through a manipulation score statistical method according to the user manipulation data;
c: monitoring and recording heart rate data of a user, and obtaining a heart rate score of the user by a heart rate score statistical method according to the heart rate data of the user;
d: and obtaining a user total score through a total score algorithm according to the user pace score, the user skill score and the user heart rate score.
Through the technical scheme, the amateur level of the user can be evaluated, the evaluation efficiency is improved, and meanwhile the user can be helped to conveniently know the tennis level of the user.
In the method for rapidly evaluating tennis amateur level, in step a, user information of any one or more combinations of sex, height, weight and age of a corresponding user is received before starting to judge the step score of the user; and the statistical method of the gait score comprises the following steps:
A1: counting the number of steps and the running distance in each batting process, and judging whether the step length in the corresponding batting process is small broken step adjustment or large step running adjustment according to a step length judging method;
a2: counting the total times of small step adjustment and the total times of large step running adjustment in a preset time period, and dividing the total times of small step adjustment and the total times of large step running adjustment to obtain a step method ratio;
a3: and obtaining the user gait score according to a gait score judging method.
In the method for quickly evaluating tennis amateur level, in step a1, the step determination method includes:
determining a preset stride according to user information, dividing the moving distance and the step number in each batting process to obtain the stride, judging the stride in the batting process to be large foot running adjustment when the stride is larger than the preset stride, and judging the stride in the batting process to be small broken step adjustment when the stride is smaller than or equal to the preset stride.
In the method for quickly evaluating tennis amateur level, in step a3, the method for determining a footfall score includes:
when the step ratio is greater than or equal to 5, judging that the step score of the user is 1;
when the step ratio is greater than or equal to 4 and less than 5, judging that the step score of the user is 0.8;
When the step ratio is greater than or equal to 3 and less than 4, judging that the step score of the user is 0.6;
when the step ratio is greater than or equal to 2 and less than 3, judging that the step score of the user is 0.4;
and when the step method ratio is less than 2, judging that the step method score of the user is 0.2.
In the method for quickly evaluating a tennis amateur level, in step B, the method for counting a skill score includes:
b1: when the user is monitored to wave the arms, the wave amplitude of the arms of the user is detected, when the wave amplitude is greater than or equal to an amplitude preset value, a normal manipulation is judged, and when the wave amplitude is smaller than the amplitude preset value, a forced manipulation is judged;
b2: counting the total times of normal manipulation waving and the total times of forced manipulation waving in a preset time period, and dividing the total times of normal manipulation waving and the total times of forced manipulation waving to obtain a manipulation ratio;
b3: and obtaining the user skill score through a skill score judging method according to the skill ratio.
In the method for quickly evaluating a tennis amateur level, in step B3, the method for determining a game score includes:
when the manipulation ratio is greater than or equal to 5, judging that the user manipulation score is 1;
When the manipulation ratio is greater than or equal to 4 and less than 5, judging that the user manipulation score is 0.8;
when the manipulation ratio is greater than or equal to 3 and less than 4, judging that the user manipulation score is 0.6;
when the manipulation ratio is greater than or equal to 2 and less than 3, judging that the user manipulation score is 0.4;
when the manipulation ratio is less than 2, the user's manipulation score is determined to be 0.2.
In the method for rapidly evaluating tennis amateur level, in step C, the heart rate score statistical method includes:
c1: detecting the normal total duration of the heart rate and the over-range fluctuation total duration of the heart rate in a preset time period, and dividing the normal total duration of the heart rate and the over-range fluctuation total duration of the heart rate to obtain a heart rate ratio;
c2: and obtaining the heart rate score of the user by a heart rate score judging method according to the heart rate ratio.
In the method for quickly evaluating tennis amateur level, in step C2, the method for determining a heart rate score includes:
when the heart rate ratio is greater than or equal to 10, judging that the heart rate score of the user is 1;
when the heart rate ratio is greater than or equal to 8 and less than 10, judging that the heart rate score of the user is 0.8;
when the heart rate ratio is greater than or equal to 6 and less than 8, judging that the heart rate score of the user is 0.6;
When the heart rate ratio is greater than or equal to 4 and less than 6, judging that the heart rate score of the user is 0.4;
when the heart rate ratio is less than 4, the user heart rate score is determined to be 0.2.
In the method for rapidly evaluating tennis amateur level, in step D, the total scoring algorithm is formula (r),
x100 × a1 × a11+100 × B1 × B11+100 × C1 × C11, wherein,
x: a total score of the user;
a1: the proportion of the user step score in the total score;
a11: scoring by the user step method;
b1: the proportion of the user manipulation score in the total score;
b11: scoring a user skill;
c1: the proportion of the heart rate score of the user in the total score;
c11: a user heart rate score.
A tennis amateur level rapid evaluation system based on a method for rapidly evaluating tennis amateur level comprises intelligent wearable equipment, a processor is arranged in the intelligent wearable equipment, the processor is provided with a built-in algorithm module and is connected with a touch display screen and/or a wireless communication module which are embedded in the wearable equipment, the touch display screen is used for a user to input user information and display evaluation data, the wireless communication module is used for being connected with third-party intelligent equipment so that the user can input the user information and display the evaluation data, the processor is also connected with a sensor module, the sensor module comprises a three-axis acceleration sensor, a gyroscope and a heart rate sensor, wherein,
Three-axis acceleration sensor: the system is used for monitoring the step movement condition of the user;
a gyroscope: the device is used for monitoring the arm swing condition of a user;
heart rate sensor: for monitoring the heart rate fluctuation of the user.
Compared with the prior art, the invention has the following advantages: 1. the method is simple, and the evaluation is convenient and effective; 2. the tennis level can be accurately evaluated without engaging professional coaches, so that a large amount of cost can be saved; 3, the user can know the tennis level and make targeted training.
Drawings
FIG. 1 is a schematic flow chart of a method according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method according to a second embodiment of the present invention;
fig. 3 is a system block diagram of a fourth embodiment of the present invention.
Reference numerals: a smart wearable device 1; a processor 11; a built-in algorithm module 12; a touch display screen 13; a wireless communication module 14; a three-axis acceleration sensor 15; a gyroscope 16; a heart rate sensor 17; a third party smart device 2.
Detailed Description
The method and the system for rapidly evaluating the tennis amateur level are mainly used for evaluating the tennis level of a user conveniently and efficiently, the tennis level of the user is automatically evaluated through wearable equipment without requiring a special coach, the evaluation efficiency is improved, the evaluation cost is saved, and the method and the system meet the requirements of amateurs.
Example one
As shown in fig. 1, the present embodiment discloses a method for rapidly evaluating tennis amateur level, and the pace of a user in hitting a ball can be divided into two cases: the first is the normal regular small crunch adjustment, the second is the passive large-foot running adjustment, according to the tennis sport characteristic, the more the small crunch adjustment is better when the user hits the ball, the large-foot running means that the user is mobilized by the other party and is in a forced state, the less the larger the adjustment is, so the embodiment determines the user's gait score according to the proportion between the small crunch adjustment and the large-foot running of the user, and the specific method comprises the following steps:
a: the step moving condition of the user is monitored through the three-axis acceleration sensor 15, the processor 11 receives a series of data obtained through monitoring by the three-axis acceleration sensor 15, and performs a series of processing such as filtering, noise reduction, feature extraction and the like on the series of data to obtain step data and record the step data.
However, in the actual situation, since the individual has different sexes, heights, ages and weights and has different normal steps when hitting balls, in step a, before the judgment of the step scoring of the user is started, the user needs to input user information such as the sex, the height, the weight and the age of the user, the processor 11 of the wearable device receives the user information input by the user, and determines a preset stride according to different user information, wherein the preset stride is used for judging whether the stride of the corresponding user belongs to a small step adjustment stride or a large step running adjustment stride, the preset stride is determined according to the user information, the preset stride corresponding to the corresponding user information is set by a manufacturer according to a large database, the user information of a tennis lover and the information such as the stride, the arm swinging amplitude and the heart rate during normal hitting balls are recorded in the large database, the manufacturer can classify the user information into users of multiple grades according to the information of the large database, for example, 5 steps are provided, each step corresponds to a preset stride, for example, from high to low, 0.32 m, 0.31 m, 0.30 m, 0.29 m, and 0.28 m, for example, a boy with a height of 1.8, a weight of 180, and an age of 32 is classified as a third user, and the preset stride corresponding to the user is defined as 0.30 m. Of course, the present embodiment is not limited to this case, and the specific number of steps, the preset step corresponding to each step, and the like are determined by the manufacturer according to the large database, the actual situation, the system setting, and the like.
Specifically, the statistical method for the gait score comprises the following steps:
a1: the intelligent wearable device 1 counts the number of steps and the running distance in each batting process, and judges whether the stride in the corresponding batting process is small broken step adjustment or large step running adjustment according to the number of steps and the running distance by a stride judgment method;
a2: counting the total times of small step adjustment and the total times of large step running adjustment in a preset time period, and dividing the total times of small step adjustment and the total times of large step running adjustment to obtain a step method ratio; the preset time that points in this embodiment is set for by the user by oneself, the user opens intelligent wearable equipment 1 for the setting mode when the start movement, start monitoring and timing, when the end movement, the user chooses to finish monitoring, stop timing, the preset time is this time period that begins to finish, and when the user has a rest midway, can choose to pause the monitoring, intelligent wearable equipment 1 pauses the step, gimmick and the rhythm of the monitoring user, until the user chooses to continue monitoring, avoid continuing to monitor in the user's rest midway and influence the judgement result.
A3: the wearable device obtains the user gait score through a gait score determination method according to the gait ratio.
The process of tennis hitting is intermittent, and a period from the beginning of walking to the completion of hitting is taken as a hitting process in each hitting, and of course, after each hitting, a user may adjust the position of the user, but the position is not for hitting, so that the wearable device cannot detect the hitting action of the user in the walking process, the wearable device automatically ignores the walking, and detection errors are avoided.
Further, in step a1, the stride determination method includes:
dividing the moving distance and the step number in each batting process to obtain two steps, judging the step of the batting process to be large foot running adjustment when the step is larger than a preset step, and judging the step of the batting process to be small broken step adjustment when the step is smaller than or equal to the preset step, wherein the preset step is determined according to the current user information.
Specifically, in step a3, the gait score determination method includes:
when the step ratio is greater than or equal to 5, judging that the step score of the user is 1;
when the step ratio is greater than or equal to 4 and less than 5, judging that the step score of the user is 0.8;
when the step ratio is greater than or equal to 3 and less than 4, judging that the step score of the user is 0.6;
When the step ratio is greater than or equal to 2 and less than 3, judging that the step score of the user is 0.4;
and when the step method ratio is less than 2, judging that the user step method score is 0.2.
Similarly, according to the characteristics of tennis, the techniques can be roughly divided into normal hitting techniques and forced hitting techniques, which have great differences in actions, and the wearable smart device worn on the hand of the user to hit the ball senses the swing range, i.e., the swing range (angle) of the arm during the hitting process, and sets a limit value, i.e., a range preset value, which is the normal hitting technique when the limit value is reached, and is the forced hitting technique when the limit value is lower than the limit value, and the limit value determines the minimum swing angle of the arm of the general user during the normal hitting according to information such as a big database before the factory shipment, and the limit value of the embodiment is set to 120 degrees, so as to obtain the score of the user's technique, specifically, as follows:
b: monitoring the arm swinging condition of the user through the gyroscope 16, receiving a series of data obtained by monitoring through the gyroscope 16 by the processor 11, processing the series of data to obtain manipulation data, and recording the manipulation data, wherein similar to the step A, the means for processing the data monitored through the gyroscope 16 also adopts the existing algorithm in the prior art, such as an adaptive drift reduction algorithm and the like, the specific algorithm and the algorithm process are not repeated herein, and the processor 11 obtains the user manipulation score through a manipulation score statistical method according to the user manipulation data;
Specifically, the method for counting the scores of manipulations comprises the following steps:
b1: when monitoring that the user swings an arm, the intelligent wearable device 1 detects the swing amplitude of the arm of the user, determines a normal technique when the swing amplitude is greater than or equal to an amplitude preset value, and determines an compelling technique when the swing amplitude is smaller than the amplitude preset value;
b2: counting the total times of normal manipulation waving and the total times of forced manipulation waving in a preset time period, and dividing the total times of normal manipulation waving and the total times of forced manipulation waving to obtain a manipulation ratio;
b3: and obtaining the user skill score through a skill score judging method according to the skill ratio.
In step B3, the method for determining the skill score includes:
when the manipulation ratio is greater than or equal to 5, judging that the user manipulation score is 1;
when the manipulation ratio is greater than or equal to 4 and less than 5, judging that the user manipulation score is 0.8;
when the manipulation ratio is greater than or equal to 3 and less than 4, judging that the user manipulation score is 0.6;
when the manipulation ratio is greater than or equal to 2 and less than 3, judging that the user manipulation score is 0.4;
when the manipulation ratio is less than 2, the user's manipulation score is determined to be 0.2.
Similarly, the mental state of the user when hitting the ball is also an important index for measuring the level of a person, and the mental state is finally reflected on the heart rate, and the method for obtaining the heart rate score of the user comprises the following steps:
C: the heart rate fluctuation condition of the user is monitored through the heart rate sensor 17, the processor 11 receives a series of data monitored by the heart rate sensor 17, the heart rate data is obtained and recorded after the series of data are processed, similarly, one or more combinations in the prior art are selected for the processing means of the heart rate detection data, and are not repeated here, and the processor 11 obtains the heart rate score of the user through a heart rate score statistical method according to the heart rate data of the user;
specifically, the heart rate score statistical method comprises the following steps:
c1: detecting the normal total duration of the heart rate and the over-range fluctuation total duration of the heart rate in a preset time period, and dividing the normal total duration of the heart rate and the over-range fluctuation total duration of the heart rate to obtain a heart rate ratio;
c2: and obtaining the heart rate score of the user by a heart rate score judging method according to the heart rate ratio.
In step C2, the heart rate score determination method includes:
when the heart rate ratio is greater than or equal to 10, judging that the heart rate score of the user is 1;
when the heart rate ratio is greater than or equal to 8 and less than 10, judging that the heart rate score of the user is 0.8;
when the heart rate ratio is greater than or equal to 6 and less than 8, judging that the heart rate score of the user is 0.6;
when the heart rate ratio is greater than or equal to 4 and less than 6, judging that the heart rate score of the user is 0.4;
When the heart rate ratio is less than 4, the user heart rate score is determined to be 0.2.
The order of obtaining the user heart rate score, the user pace score and the user skill score is not fixed, and may be performed together or separately.
And finally, calculating the total score of the user according to the heart rate score, the step score and the manual score of the user, wherein the specific method comprises the following steps:
d: and obtaining a user total score through a total score algorithm according to the user pace score, the user skill score and the user heart rate score.
In step D, the total score algorithm is formula (r),
x100 × a1 × a11+100 × B1 × B11+100 × C1 × C11, wherein,
x: a user total score;
a1: the proportion of the user step score in the total score;
a11: scoring by the user step method;
b1: the proportion of the user manipulation score in the total score;
b11: scoring a user skill;
c1: the proportion of the heart rate score of the user in the total score;
c11: a user heart rate score.
According to the embodiment, the user level is quantitatively judged according to the pace, the skill and the heart rate data of the user in the batting process, the user level can be simply, efficiently and economically evaluated, so that the user can clearly know the current level of the user without teaching a professional coach team, and accordingly targeted adjustment and training are performed, and the tennis level of the user is favorably improved.
Example two
As shown in fig. 2, the present embodiment is similar to the embodiment, except that the preset time setting manner of the present embodiment is as follows: when the user starts to move, the user opens the intelligent wearable device 1, selects to start monitoring, selects monitoring duration, and finishes monitoring and reminds the user when the moving time reaches the duration selected by the user.
Further, since it is often the case that the user ends the evaluation in some cases before ending the evaluation after starting the evaluation, the present embodiment interrupts the evaluation, resumes the initial state, and enters the standby mode when it detects that the user interrupts the hitting ball within the time period set by the user.
The monitoring mode of the embodiment enables a user to preset the evaluation time in the evaluation process, has the countdown effect, and enables the user to have psychological expectation on the evaluation time and achieve a better evaluation effect without paying attention to the time in the exercise process to determine how long the user evaluates.
EXAMPLE III
The present embodiment is similar to the first embodiment or the second embodiment, except that the preset time of the present embodiment is automatically started and automatically ended by the smart wearable device 1 according to the monitoring condition thereof, but the manner of the present embodiment is not accurate as the manner set by the user in the first embodiment or the second embodiment.
Example four
Referring to fig. 3, the present embodiment discloses a system for rapidly evaluating tennis amateur level using the method for rapidly evaluating tennis amateur level of the first embodiment, the second embodiment or the third embodiment, which comprises a smart wearable device 1 arranged in a bracelet form, a processor 11 is arranged in the smart wearable device 1, the processor 11 is provided with a built-in algorithm module 12, the processor 11 is connected with a touch display screen 13 and/or a wireless communication module 14 which are embedded on the intelligent wearable device 1, the touch display screen 13 is used for a user to input user information and display evaluation data, the wireless communication module 14 is used for being connected with the third-party intelligent device 2 to input user information and display evaluation data, furthermore, the processor 11 is also connected with a sensor module which comprises a three-axis acceleration sensor 15, a gyroscope 16 and a heart rate sensor 17, wherein,
three-axis acceleration sensor 15: the system is used for monitoring the step movement condition of the user;
the gyroscope 16: the system is used for monitoring the arm swing condition of a user;
the heart rate sensor 17: for monitoring the heart rate fluctuation of the user.
Specifically, the algorithm module includes an acceleration algorithm module that processes data monitored by the triaxial acceleration sensor 15 and obtains displacement and step number, an angle algorithm module that processes data monitored by the gyroscope 16 and obtains arm swing amplitude, a heart rate algorithm module that processes data monitored by the heart rate sensor 17 and obtains heart rate data, and the like.
Further, in order to measure accurately, the gyroscope 16 of the present embodiment is connected with an electronic compass, and the wireless communication module 14 may be a wireless module such as a WIFI module, a bluetooth module, and an 3/4G module.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Although the smart wearable device 1 is used more herein; a processor 11; a built-in algorithm module 12; a touch display screen 13; a wireless communication module 14; a three-axis acceleration sensor 15; a gyroscope 16; a heart rate sensor 17; third party smart devices 2, etc., without excluding the possibility of using other terms. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
Claims (9)
1. A method for rapidly evaluating tennis amateur level is applied to intelligent wearable equipment, and is characterized by comprising the following steps:
A: monitoring and recording user gait data, and obtaining user gait scores through a gait score statistical method according to the user gait data;
b: monitoring and recording user manipulation data, and obtaining user manipulation scores through a manipulation score statistical method according to the user manipulation data;
c: monitoring and recording heart rate data of a user, and obtaining a heart rate score of the user by a heart rate score statistical method according to the heart rate data of the user;
d: obtaining a user total score through a total score algorithm according to the user pace score, the user skill score and the user heart rate score;
in step A, receiving user information of any one or more combinations of sex, height, weight and age of a corresponding user before starting to judge the step score of the user; and the statistical method of the gait score comprises the following steps:
a1: counting the number of steps and the running distance in each batting process, and judging whether the step length in the corresponding batting process is small broken step adjustment or large step running adjustment according to a step length judging method;
a2: counting the total times of small step adjustment and the total times of large step running adjustment in a preset time period, and dividing the total times of small step adjustment and the total times of large step running adjustment to obtain a step method ratio;
A3: obtaining a user gait score according to a gait score judging method and the gait ratio;
when the fact that the user opens the intelligent wearable device is detected, monitoring is started and timing is conducted; when the user selection is detected to be finished or the monitoring is suspended, timing is stopped; the preset time period is the time period from the start of monitoring and timing to the stop of timing;
and in the one-time batting process, if the batting action of the user cannot be detected, ignoring the data in the one-time batting process.
2. The method for rapidly evaluating tennis amateur level according to claim 1, wherein in step a1, the step length determination method comprises:
determining a preset stride according to user information, dividing the moving distance and the step number in each batting process to obtain the stride, judging the stride in the batting process to be large foot running adjustment when the stride is larger than the preset stride, and judging the stride in the batting process to be small broken step adjustment when the stride is smaller than or equal to the preset stride.
3. The method for rapidly evaluating tennis amateur level as claimed in claim 1, wherein in step a3, the gait score determination method comprises:
When the step ratio is greater than or equal to 5, judging that the step score of the user is 1;
when the step ratio is greater than or equal to 4 and less than 5, judging that the step score of the user is 0.8;
when the step ratio is greater than or equal to 3 and less than 4, judging that the step score of the user is 0.6;
when the step ratio is greater than or equal to 2 and less than 3, judging that the step score of the user is 0.4;
and when the step method ratio is less than 2, judging that the step method score of the user is 0.2.
4. The method for rapidly evaluating tennis amateur level as claimed in claim 1, wherein in step B, the statistical method of skill scores comprises:
b1: when the situation that the user swings an arm is monitored, the swing amplitude of the arm of the user is detected, when the swing amplitude is larger than or equal to an amplitude preset value, a normal manipulation is judged, and when the swing amplitude is smaller than the amplitude preset value, a forced manipulation is judged;
b2: counting the total times of normal manipulation waving and the total times of forced manipulation waving in a preset time period, and dividing the total times of normal manipulation waving and the total times of forced manipulation waving to obtain a manipulation ratio;
b3: and obtaining the user skill score through a skill score judging method according to the skill ratio.
5. The method for rapidly evaluating a tennis amateur level as set forth in claim 4, wherein the method for determining a skill score in step B3 comprises:
when the manipulation ratio is greater than or equal to 5, judging that the user manipulation score is 1;
when the manipulation ratio is greater than or equal to 4 and less than 5, judging that the user manipulation score is 0.8;
when the ratio of the manipulations is more than or equal to 3 and less than 4, judging that the score of the user manipulations is 0.6;
when the manipulation ratio is greater than or equal to 2 and less than 3, judging that the user manipulation score is 0.4;
when the manipulation ratio is less than 2, the user's manipulation score is determined to be 0.2.
6. The method for rapidly evaluating tennis amateur level as claimed in claim 1, wherein in step C, said heart rate score statistic method comprises:
c1: detecting the normal total duration of the heart rate and the over-range fluctuation total duration of the heart rate in a preset time period, and dividing the normal total duration of the heart rate and the over-range fluctuation total duration of the heart rate to obtain a heart rate ratio;
c2: and obtaining the heart rate score of the user by a heart rate score judging method according to the heart rate ratio.
7. The method for rapidly evaluating tennis amateur level as claimed in claim 6, wherein in step C2, the heart rate score determining method comprises:
When the heart rate ratio is greater than or equal to 10, judging that the heart rate score of the user is 1;
when the heart rate ratio is greater than or equal to 8 and less than 10, judging that the heart rate score of the user is 0.8;
when the heart rate ratio is greater than or equal to 6 and less than 8, judging that the heart rate score of the user is 0.6;
when the heart rate ratio is greater than or equal to 4 and less than 6, judging that the heart rate score of the user is 0.4;
when the heart rate ratio is less than 4, the user heart rate score is determined to be 0.2.
8. The method for rapidly evaluating the tennis amateur level according to claim 1, wherein in the step D, the total scoring algorithm is formula (r),
x =100 a1 a11+ 100B 1B 11+ 100C 1C 11, wherein,
x: a user total score;
a1: the proportion of the user step score in the total score;
a11: scoring by the user step method;
b1: the proportion of the user manipulation score in the total score;
b11: scoring a user skill;
c1: the proportion of the heart rate score of the user in the total score;
c11: a user heart rate score.
9. A system for rapidly evaluating tennis amateur level based on the method for rapidly evaluating tennis amateur level according to any one of claims 1 to 8, comprising a smart wearable device (1), wherein a processor (11) is built in the smart wearable device (1), the processor (11) is provided with a built-in algorithm module (12), the processor (11) is connected with a touch display screen (13) and/or a wireless communication module (14) which are/is embedded in the wearable device, the touch display screen (13) is used for a user to input user information and display judgment data, the wireless communication module (14) is used for being connected with a third-party smart device (2) to input user information and display judgment data, the processor (11) is further connected with a sensor module, and the sensor module comprises a three-axis acceleration sensor (15), A gyroscope (16) and a heart rate sensor (17), wherein,
Three-axis acceleration sensor (15): the system is used for monitoring the step movement condition of the user;
gyroscope (16): the device is used for monitoring the arm swing condition of a user;
heart rate sensor (17): for monitoring the heart rate fluctuation of the user.
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| CN106581993A (en) * | 2016-12-06 | 2017-04-26 | 郑州大学体育学院 | Integrated analysis system and method of movement techniques of tennis player |
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| CN106581993A (en) * | 2016-12-06 | 2017-04-26 | 郑州大学体育学院 | Integrated analysis system and method of movement techniques of tennis player |
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| 谭艳婷.《应用心率评价网球模拟比赛中发球_正手及反手技术稳定性研究》.《CNKI学位论文数据库》.2015,第29-35页. * |
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